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Silva FM, Amorim Adegboye AR, Curioni C, Gomes F, Collins GS, Kac G, Cook J, Ismail LC, Page MJ, Khandpur N, Lamb S, Hopewell S, Saleh S, Kirtley S, Bernardes S, Durão S, Vorland CJ, Lima J, Rebelo F, Cunha Figueiredo AC, Braga Tibaes JR, Tavares M, da Silva Fink J, Maia de Sousa T, Chester-Jones M, Bi D, Naude C, Schlussel M. Reporting completeness of nutrition and diet-related randomised controlled trials protocols. Clin Nutr 2024; 43:1626-1635. [PMID: 38795681 DOI: 10.1016/j.clnu.2024.04.038] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/11/2024] [Revised: 04/16/2024] [Accepted: 04/28/2024] [Indexed: 05/28/2024]
Abstract
BACKGROUND AND AIMS There is a need to consolidate reporting guidance for nutrition randomised controlled trial (RCT) protocols. The reporting completeness in nutrition RCT protocols and study characteristics associated with adherence to SPIRIT and TIDieR reporting guidelines are unknown. We, therefore, assessed reporting completeness and its potential predictors in a random sample of published nutrition and diet-related RCT protocols. METHODS We conducted a meta-research study of 200 nutrition and diet-related RCT protocols published in 2019 and 2021 (aiming to consider periods before and after the start of the COVID pandemic). Data extraction included bibliometric information, general study characteristics, compliance with 122 questions corresponding to items and subitems in the SPIRIT and TIDieR checklists combined, and mention to these reporting guidelines in the publications. We calculated the proportion of protocols reporting each item and the frequency of items reported for each protocol. We investigated associations between selected publication aspects and reporting completeness using linear regression analysis. RESULTS The majority of protocols included adults and elderly as their study population (n = 73; 36.5%), supplementation as intervention (n = 96; 48.0%), placebo as comparator (n = 89; 44.5%), and evaluated clinical status as the outcome (n = 80; 40.0%). Most protocols described a parallel RCT (n = 188; 94.0%) with a superiority framework (n = 141; 70.5%). Overall reporting completeness was 52.0% (SD = 10.8%). Adherence to SPIRIT items ranged from 0% (n = 0) (data collection methods) to 98.5% (n = 197) (eligibility criteria). Adherence to TIDieR items ranged from 5.5% (n = 11) (materials used in the intervention) to 98.5% (n = 197) (description of the intervention). The multivariable regression analysis suggests that a higher number of authors [β = 0.53 (95%CI: 0.28-0.78)], most recent published protocols [β = 3.19 (95%CI: 0.24-6.14)], request of reporting guideline checklist during the submission process by the journal [β = 6.50 (95%CI: 2.56-10.43)] and mention of SPIRIT by the authors [β = 5.15 (95%CI: 2.44-7.86)] are related to higher reporting completeness scores. CONCLUSIONS Reporting completeness in a random sample of 200 diet or nutrition-related RCT protocols was low. Number of authors, year of publication, self-reported adherence to SPIRIT, and journals' endorsement of reporting guidelines seem to be positively associated with reporting completeness in nutrition and diet-related RCT protocols.
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Affiliation(s)
- Flávia Moraes Silva
- Nutrition Department and Graduate Program of Nutrition Science, Federal University of Health Science of Porto Alegre, Brazil
| | - Amanda Rodrigues Amorim Adegboye
- Research Centre for Healthcare & Communities, Coventry University, Coventry, UK; Centre for Agroecology, Water and Resilience (CAWR), Coventry University, UK
| | - Cintia Curioni
- Department of Nutrition in Public Health, State University of Rio de Janeiro, Brazil
| | - Fabio Gomes
- Pan-American Health Organisation, World Health Organisation, Washington DC, USA
| | - Gary S Collins
- UK EQUATOR Centre, Centre for Statistics in Medicine, Nuffield Department of Orthopaedics, Rheumatology and Musculoskeletal Sciences, University of Oxford, UK
| | - Gilberto Kac
- Nutritional Epidemiology Observatory, Department of Social and Applied Nutrition, Institute of Nutrition Josué de Castro, Federal University of Rio de Janeiro, Brazil
| | - Jonathan Cook
- Oxford Clinical Trials Research Unit, Centre for Statistics in Medicine, Nuffield Department of Orthopaedics, Rheumatology and Musculoskeletal Sciences, University of Oxford, Oxford, UK
| | - Leila Cheikh Ismail
- Department of Clinical Nutrition and Dietetics, College of Health Sciences, University of Sharjah, P. O. Box 27272 Sharjah, United Arab Emirates; Nuffield Department of Women's & Reproductive Health, University of Oxford, Oxford, UK
| | - Matthew J Page
- Methods in Evidence Synthesis Unit, School of Public Health and Preventive Medicine, Monash University, Melbourne, Australia
| | - Neha Khandpur
- Division of Human Nutrition and Health, Washington University, Department of Nutrition, University of São Paulo, Brazil; Department of Nutrition, Harvard T.H. Chan School of Public Health, USA
| | - Sarah Lamb
- College of Medicine and Health, University of Exeter, Exeter, UK
| | - Sally Hopewell
- Oxford Clinical Trials Research Unit, Centre for Statistics in Medicine, Nuffield Department of Orthopaedics, Rheumatology and Musculoskeletal Sciences, University of Oxford, Oxford, UK
| | - Shaima Saleh
- Department of Clinical Nutrition and Dietetics, College of Health Sciences, University of Sharjah, P. O. Box 27272 Sharjah, United Arab Emirates
| | - Shona Kirtley
- UK EQUATOR Centre, Centre for Statistics in Medicine, Nuffield Department of Orthopaedics, Rheumatology and Musculoskeletal Sciences, University of Oxford, UK
| | - Simone Bernardes
- Nutrition Department and Graduate Program of Nutrition Science, Federal University of Health Science of Porto Alegre, Brazil
| | - Solange Durão
- Health Systems Research Unit, South African Medical Research Council, South Africa
| | - Colby J Vorland
- Department of Epidemiology and Biostatistics, Indiana University School of Public Health-Bloomington, USA
| | | | - Fernanda Rebelo
- Clinical Research Unit, National Institute of Women, Children and Adolescents Health Fernandes Figueira (IFF), Oswaldo Cruz Foundation (FIOCRUZ), Rio de Janeiro, Brazil
| | - Amanda C Cunha Figueiredo
- Nutritional Epidemiology Observatory, Department of Social and Applied Nutrition, Institute of Nutrition Josué de Castro, Federal University of Rio de Janeiro, Brazil; Health Science Center, Serra dos Órgãos University Center, Rio de Janeiro, Brazil
| | | | - Marina Tavares
- Department of Nutrition in Public Health, State University of Rio de Janeiro, Brazil
| | | | - Taciana Maia de Sousa
- Department of Nutrition in Public Health, State University of Rio de Janeiro, Brazil
| | - Mae Chester-Jones
- UK EQUATOR Centre, Centre for Statistics in Medicine, Nuffield Department of Orthopaedics, Rheumatology and Musculoskeletal Sciences, University of Oxford, UK
| | - Dongquan Bi
- UK EQUATOR Centre, Centre for Statistics in Medicine, Nuffield Department of Orthopaedics, Rheumatology and Musculoskeletal Sciences, University of Oxford, UK
| | - Celeste Naude
- Centre for Evidence-based Health Care, Division of Epidemiology and Biostatistics, Department of Global Health. Faculty of Medicine and Health Sciences. Stellenbosch University, Cape Town, South Africa
| | - Michael Schlussel
- UK EQUATOR Centre, Centre for Statistics in Medicine, Nuffield Department of Orthopaedics, Rheumatology and Musculoskeletal Sciences, University of Oxford, UK.
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Bała MM, Poklepović Peričić T, Žuljević MF, Bralić N, Zając J, Motaze NV, Rohwer A, Gajdzica M, Young T. Adherence to the Guideline for Reporting Evidence-based practice Educational interventions and Teaching (GREET) of studies on evidence-based healthcare e-learning: a cross-sectional study. BMJ Evid Based Med 2024:bmjebm-2023-112647. [PMID: 38862202 DOI: 10.1136/bmjebm-2023-112647] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Accepted: 02/28/2024] [Indexed: 06/13/2024]
Abstract
OBJECTIVES The objectives of this study are to assess reporting of evidence-based healthcare (EBHC) e-learning interventions using the Guideline for Reporting Evidence-based practice Educational interventions and Teaching (GREET) checklist and explore factors associated with compliant reporting. DESIGN Methodological cross-sectional study. METHODS Based on the criteria used in an earlier systematic review, we included studies comparing EBHC e-learning and any other form of EBHC training or no EBHC training. We searched Medline, Embase, ERIC, CINAHL, CENTRAL, SCOPUS, Web of Knowledge, PsycInfo, ProQuest and Best Evidence Medical Education up to 4 January 2023. Screening of titles, abstracts, full-text articles and data extraction was done independently by two authors. For each study, we assessed adherence to each of the 17 GREET items and extracted information on possible predictors. Adequacy of reporting for each item of the GREET checklist was judged with yes (provided complete information), no (provided no information), unclear (when insufficient information was provided), or not applicable, when the item was clearly of no relevance to the intervention described (such as for item 8-details about the instructors-in the studies which used electronic, self-paced intervention, without any tutoring). Studies' adherence to the GREET checklist was presented as percentages and absolute numbers. We performed univariate analysis to assess the association of potential adherence predictors with the GREET checklist. We summarised results descriptively. RESULTS We included 40 studies, the majority of which assessed e-learning or blended learning and mostly involved medical and other healthcare students. None of the studies fully reported all the GREET items. Overall, the median number of GREET items met (received yes) per study was 8 and third quartile (Q3) of GREET items met per study was 9 (min. 4 max. 14). When we used Q3 of the number of items met as cut-off point, adherence to the GREET reporting checklist was poor with 7 out of 40 studies (17.5%) reporting items of the checklist on acceptable level (adhered to at least 10 items out of 17). None of the studies reported on all 17 GREET items. For 3 items, 80% of included studies well reported information (received yes for these items): item 1 (brief description of intervention), item 4 (evidence-based practice content) and item 6 (educational strategies). Items for which 50% of included studies reported complete information (received yes for these items) included: item 9 (modes of delivery), item 11 (schedule) and 12 (time spent on learning). The items for which 70% or more of included studies did not provide information (received no for these items) included: item 7 (incentives) and item 13 (adaptations; for both items 70% of studies received no for them), item 14 (modifications of educational interventions-95% of studies received no for this item), item 16 (any processes to determine whether the materials and the educational strategies used in the educational intervention were delivered as originally planned-93% of studies received no for this item) and 17 (intervention delivery according to schedule-100% of studies received no for this item). Studies published after September 2016 showed slight improvements in nine reporting items. In the logistic regression models, using the cut-off point of Q3 (10 points or above) the odds of acceptable adherence to GREET guidelines were 7.5 times higher if adherence to other guideline (Consolidated Standards of Reporting Trials, Strengthening the Reporting of Observational Studies in Epidemiology, etc) was reported for a given study type (p=0.039), also higher number of study authors increased the odds of adherence to GREET guidance by 18% (p=0.037). CONCLUSIONS Studies assessing educational interventions on EBHC e-learning still poorly adhere to the GREET checklist. Using other reporting guidelines increased the odds of better GREET reporting. Journals should call for the use of appropriate use of reporting guidelines of future studies on teaching EBHC to increase transparency of reporting, decrease unnecessary research duplication and facilitate uptake of research evidence or result. STUDY REGISTRATION NUMBER The Open Science Framework (https://doi.org/10.17605/OSF.IO/V86FR).
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Affiliation(s)
- Małgorzata M Bała
- Chair of Epidemiology and Preventive Medicine, Jagiellonian University Medical College, Krakow, Poland
| | - Tina Poklepović Peričić
- Department of Research in Biomedicine and Health, University of Split School of Medicine, Split, Croatia
| | - Marija Franka Žuljević
- Department of Medical Humanities, University of Split School of Medicine, Split, Croatia
| | - Nensi Bralić
- Department of Research in Biomedicine and Health, University of Split School of Medicine, Split, Croatia
| | - Joanna Zając
- Chair of Epidemiology and Preventive Medicine, Jagiellonian University Medical College, Krakow, Poland
| | - Nkengafac Villyen Motaze
- Medicine Usage in South Africa, Faculty of Health Sciences, North-West University, Potchefstroom, South Africa
| | - Anke Rohwer
- Centre for Evidence-based Health Care, Division of Epidemiology and Biostatistics, Department of Global Health, Stellenbosch University Faculty of Medicine and Health Sciences, Cape Town, Western Cape, South Africa
| | - Michalina Gajdzica
- Chair of Epidemiology and Preventive Medicine, Jagiellonian University Medical College, Krakow, Poland
| | - Taryn Young
- Centre for Evidence-based Health Care, Division of Epidemiology and Biostatistics, Department of Global Health, Stellenbosch University Faculty of Medicine and Health Sciences, Cape Town, Western Cape, South Africa
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Lan M, Cheng M, Hoang L, Ter Riet G, Kilicoglu H. Automatic categorization of self-acknowledged limitations in randomized controlled trial publications. J Biomed Inform 2024; 152:104628. [PMID: 38548008 DOI: 10.1016/j.jbi.2024.104628] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/02/2023] [Revised: 03/09/2024] [Accepted: 03/24/2024] [Indexed: 04/05/2024]
Abstract
OBJECTIVE Acknowledging study limitations in a scientific publication is a crucial element in scientific transparency and progress. However, limitation reporting is often inadequate. Natural language processing (NLP) methods could support automated reporting checks, improving research transparency. In this study, our objective was to develop a dataset and NLP methods to detect and categorize self-acknowledged limitations (e.g., sample size, blinding) reported in randomized controlled trial (RCT) publications. METHODS We created a data model of limitation types in RCT studies and annotated a corpus of 200 full-text RCT publications using this data model. We fine-tuned BERT-based sentence classification models to recognize the limitation sentences and their types. To address the small size of the annotated corpus, we experimented with data augmentation approaches, including Easy Data Augmentation (EDA) and Prompt-Based Data Augmentation (PromDA). We applied the best-performing model to a set of about 12K RCT publications to characterize self-acknowledged limitations at larger scale. RESULTS Our data model consists of 15 categories and 24 sub-categories (e.g., Population and its sub-category DiagnosticCriteria). We annotated 1090 instances of limitation types in 952 sentences (4.8 limitation sentences and 5.5 limitation types per article). A fine-tuned PubMedBERT model for limitation sentence classification improved upon our earlier model by about 1.5 absolute percentage points in F1 score (0.821 vs. 0.8) with statistical significance (p<.001). Our best-performing limitation type classification model, PubMedBERT fine-tuning with PromDA (Output View), achieved an F1 score of 0.7, improving upon the vanilla PubMedBERT model by 2.7 percentage points, with statistical significance (p<.001). CONCLUSION The model could support automated screening tools which can be used by journals to draw the authors' attention to reporting issues. Automatic extraction of limitations from RCT publications could benefit peer review and evidence synthesis, and support advanced methods to search and aggregate the evidence from the clinical trial literature.
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Affiliation(s)
- Mengfei Lan
- School of Information Sciences, University of Illinois Urbana-Champaign, 501 Daniel Street, Champaign, 61820, IL, USA
| | - Mandy Cheng
- Department of Biological Sciences, Binghamton University, 4400 Vestal Parkway East, New York City, 13902, NY, USA
| | - Linh Hoang
- School of Information Sciences, University of Illinois Urbana-Champaign, 501 Daniel Street, Champaign, 61820, IL, USA
| | - Gerben Ter Riet
- Faculty of Health, Amsterdam University of Applied Sciences, Tafelbergweg 51, Amsterdam, 1105 BD, The Netherlands
| | - Halil Kilicoglu
- School of Information Sciences, University of Illinois Urbana-Champaign, 501 Daniel Street, Champaign, 61820, IL, USA.
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4
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Jiang L, Lan M, Menke JD, Vorland CJ, Kilicoglu H. CONSORT-TM: Text classification models for assessing the completeness of randomized controlled trial publications. MEDRXIV : THE PREPRINT SERVER FOR HEALTH SCIENCES 2024:2024.03.31.24305138. [PMID: 38633775 PMCID: PMC11023672 DOI: 10.1101/2024.03.31.24305138] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 04/19/2024]
Abstract
Objective To develop text classification models for determining whether the checklist items in the CONSORT reporting guidelines are reported in randomized controlled trial publications. Materials and Methods Using a corpus annotated at the sentence level with 37 fine-grained CONSORT items, we trained several sentence classification models (PubMedBERT fine-tuning, BioGPT fine-tuning, and in-context learning with GPT-4) and compared their performance. To address the problem of small training dataset, we used several data augmentation methods (EDA, UMLS-EDA, text generation and rephrasing with GPT-4) and assessed their impact on the fine-tuned PubMedBERT model. We also fine-tuned PubMedBERT models limited to checklist items associated with specific sections (e.g., Methods) to evaluate whether such models could improve performance compared to the single full model. We performed 5-fold cross-validation and report precision, recall, F1 score, and area under curve (AUC). Results Fine-tuned PubMedBERT model that takes as input the sentence and the surrounding sentence representations and uses section headers yielded the best overall performance (0.71 micro-F1, 0.64 macro-F1). Data augmentation had limited positive effect, UMLS-EDA yielding slightly better results than data augmentation using GPT-4. BioGPT fine-tuning and GPT-4 in-context learning exhibited suboptimal results. Methods-specific model yielded higher performance for methodology items, other section-specific models did not have significant impact. Conclusion Most CONSORT checklist items can be recognized reasonably well with the fine-tuned PubMedBERT model but there is room for improvement. Improved models can underpin the journal editorial workflows and CONSORT adherence checks and can help authors in improving the reporting quality and completeness of their manuscripts.
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Affiliation(s)
- Lan Jiang
- School of Information Sciences, University of Illinois Urbana-Champaign, Champaign, IL, USA
| | - Mengfei Lan
- School of Information Sciences, University of Illinois Urbana-Champaign, Champaign, IL, USA
| | - Joe D. Menke
- School of Information Sciences, University of Illinois Urbana-Champaign, Champaign, IL, USA
| | - Colby J Vorland
- Indiana University, School of Public Health, Bloomington, IN, USA
| | - Halil Kilicoglu
- School of Information Sciences, University of Illinois Urbana-Champaign, Champaign, IL, USA
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Dewidar O, Al-Zubaidi A, Bondok M, Abdelrazeq L, Huang J, Jearvis A, Barker LC, Elmestekawy N, Goghomu E, Rader T, Tufte J, Greer-Smith R, Waddington HS, Nicholls SG, Little J, Hardy BJ, Horsley T, Young T, Cuervo LG, Sharp MK, Chamberlain C, Shea B, Craig P, Lawson DO, Rizvi A, Wiysonge CS, Kredo T, Francis D, Kristjansson E, Bhutta Z, Antequera A, Melendez-Torres GJ, Pantoja T, Wang X, Jull J, Roberts JH, Funnell S, White H, Krentel A, Mahande MJ, Ramke J, Wells G, Petkovic J, Pottie K, Niba L, Feng C, Nguliefem MN, Tugwell P, Mbuagbaw L, Welch V. Reporting of equity in observational epidemiology: A methodological review. J Glob Health 2024; 14:04046. [PMID: 38491911 PMCID: PMC10903926 DOI: 10.7189/jogh.14.04046] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 03/18/2024] Open
Abstract
Background Observational studies can inform how we understand and address persisting health inequities through the collection, reporting and analysis of health equity factors. However, the extent to which the analysis and reporting of equity-relevant aspects in observational research are generally unknown. Thus, we aimed to systematically evaluate how equity-relevant observational studies reported equity considerations in the study design and analyses. Methods We searched MEDLINE for health equity-relevant observational studies from January 2020 to March 2022, resulting in 16 828 articles. We randomly selected 320 studies, ensuring a balance in focus on populations experiencing inequities, country income settings, and coronavirus disease 2019 (COVID-19) topic. We extracted information on study design and analysis methods. Results The bulk of the studies were conducted in North America (n = 95, 30%), followed by Europe and Central Asia (n = 55, 17%). Half of the studies (n = 171, 53%) addressed general health and well-being, while 49 (15%) focused on mental health conditions. Two-thirds of the studies (n = 220, 69%) were cross-sectional. Eight (3%) engaged with populations experiencing inequities, while 22 (29%) adapted recruitment methods to reach these populations. Further, 67 studies (21%) examined interaction effects primarily related to race or ethnicity (48%). Two-thirds of the studies (72%) adjusted for characteristics associated with inequities, and 18 studies (6%) used flow diagrams to depict how populations experiencing inequities progressed throughout the studies. Conclusions Despite over 80% of the equity-focused observational studies providing a rationale for a focus on health equity, reporting of study design features relevant to health equity ranged from 0-95%, with over half of the items reported by less than one-quarter of studies. This methodological study is a baseline assessment to inform the development of an equity-focussed reporting guideline for observational studies as an extension of the well-known Strengthening Reporting of Observational Studies in Epidemiology (STROBE) guideline.
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Affiliation(s)
- Omar Dewidar
- Temerty Faculty of Medicine, University of Toronto, Toronto, Ontario, Canada
- Bruyère Research Institute, University of Ottawa, Ottawa, Ontario, Canada
| | - Ali Al-Zubaidi
- Bruyère Research Institute, University of Ottawa, Ottawa, Ontario, Canada
- School of Medicine, University College Cork, Cork, Ireland
| | - Mostafa Bondok
- Bruyère Research Institute, University of Ottawa, Ottawa, Ontario, Canada
- Faculty of Medicine, University of British Columbia, Vancouver, British Columbia, Canada
| | - Leenah Abdelrazeq
- Bruyère Research Institute, University of Ottawa, Ottawa, Ontario, Canada
| | - Jimmy Huang
- Bruyère Research Institute, University of Ottawa, Ottawa, Ontario, Canada
| | - Alyssa Jearvis
- Bruyère Research Institute, University of Ottawa, Ottawa, Ontario, Canada
| | - Lucy C Barker
- Department of Psychiatry, University of Toronto, Toronto, Ontario, Canada
- Women's College Hospital, Toronto, Ontario, Canada
| | - Nour Elmestekawy
- Bruyère Research Institute, University of Ottawa, Ottawa, Ontario, Canada
- Faculty of Social Sciences, University of Ottawa, Ottawa, Ontario, Canada
| | - Elizabeth Goghomu
- Bruyère Research Institute, University of Ottawa, Ottawa, Ontario, Canada
| | - Tamara Rader
- Freelance health research librarian, Ottawa, Ontario, Canada
| | - Janice Tufte
- Hassanah Consulting, Seattle, Washington State, USA
| | - Regina Greer-Smith
- Healthcare Research Associates, LLC/S.T.A.R. Initiative, California, USA
| | - Hugh S Waddington
- London School of Hygiene and Tropical Medicine, London, UK
- London International Development Centre, London, UK
| | - Stuart G Nicholls
- Clinical Epidemiology Program, Ottawa Hospital Research Institute, Ottawa, Canada
- Office for Patient Engagement in Research Activity (OPERA), Ottawa Hospital Research Institute, Ottawa, Ontario, Canada
| | - Julian Little
- School of Epidemiology and Public Health, University of Ottawa, Ottawa, Ontario, Canada
| | - Billie-Jo Hardy
- Dalla Lana School of Public Health, University of Toronto, Toronto, Ontario, Canada
- Well Living House, Li Ka Shing Knowledge Institute, Unity Health Toronto, Toronto, Ontario, Canada
| | - Tanya Horsley
- Royal College of Physicians and Surgeons of Canada, Ottawa, Ontario, Canada
| | - Taryn Young
- Centre for Evidence Based Health Care, Department of Global Health, Stellenbosch University, Stellenbosch, South Africa
| | - Luis Gabriel Cuervo
- Department of Evidence and Intelligence for Action in Health, Pan American Health Organization (PAHO/WHO), Washington, DC, USA
- Doctoral Programme on Methodology of Biomedical Research and Public Health, Universitat Autònoma de Barcelona, Barcelona, Spain
| | - Melissa K Sharp
- Department of Public Health and Epidemiology, RCSI University of Medicine and Health Sciences, Dublin, Ireland
| | - Catherine Chamberlain
- Judith Lumley Centre, School of Nursing and Midwifery, La Trobe University, Melbourne, Australia
- Ngangk Yira Research Centre for Aboriginal Health and Social Equity, Murdoch University, Perth, Australia
| | - Beverley Shea
- Clinical Epidemiology Program, Ottawa Hospital Research Institute, Ottawa, Canada
- School of Epidemiology and Public Health, University of Ottawa, Ottawa, Ontario, Canada
| | - Peter Craig
- Institute of Health and Wellbeing, University of Glasgow, Glasgow, UK
| | - Daeria O Lawson
- Department of Health Research Methods, Evidence, and Impact, McMaster University, Hamilton, Ontario, Canada
| | - Anita Rizvi
- School of Psychology, University of Ottawa, Ottawa, Ontario, Canada
| | - Charles S Wiysonge
- Cochrane South Africa, South African Medical Research Council, Cape Town, South Africa
| | - Tamara Kredo
- Cochrane South Africa, South African Medical Research Council, Cape Town, South Africa
- Centre for Evidence Based Health Care, Department of Global Health, Stellenbosch University, Stellenbosch, South Africa
| | - Damian Francis
- School of Health and Human Performance, Georgia College, Milledgeville, Georgia, USA
| | - Elizabeth Kristjansson
- Clinical Epidemiology Program, Ottawa Hospital Research Institute, Ottawa, Canada
- School of Epidemiology and Public Health, University of Ottawa, Ottawa, Ontario, Canada
| | - Zulfiqar Bhutta
- Centre for Global Child Health, Hospital for Sick Children, Toronto, Canada
- Institute for Global Health and Development, Aga Khan University, Karachi, Pakistan
| | - Alba Antequera
- Biomedical Research Institute Sant Pau, Hospital de la Santa Creu i Sant Pau, Barcelona, Spain
| | - GJ Melendez-Torres
- Department of Public Health and Sports Science, University of Exeter College of Medicine and Health, Exeter, UK
| | - Tomas Pantoja
- Family Medicine Department, School of Medicine, Pontificia Universidad Catolica de Chile, Santiago, Chile
| | - Xiaoqin Wang
- Michael G. DeGroote Institute for Pain Research and Care, McMaster University, Hamilton, Canada
| | - Janet Jull
- Faculty of Health Sciences, School of Rehabilitation Therapy, Queen’s University, Kingston, Canada
| | - Janet Hatcher Roberts
- World Health Organization Collaborating Centre for Knowledge Translation and Health Technology Assessment in Health Equity, Ottawa, Canada
| | - Sarah Funnell
- Department of Family Medicine, Faculty of Health Sciences, Queen’s University, Kingston, Ontario
| | | | - Alison Krentel
- Bruyère Research Institute, University of Ottawa, Ottawa, Ontario, Canada
| | - Michael Johnson Mahande
- Department of Epidemiology and Biostatistics, Kilimanjaro Christian Medical University College, Tanzania
| | - Jacqueline Ramke
- International Centre for Eye Health, London School of Hygiene and Tropical Medicine, London, UK
| | - George Wells
- School of Epidemiology and Public Health, University of Ottawa, Ottawa, Ontario, Canada
- University of Ottawa Heart Institute, Ottawa, Canada
| | - Jennifer Petkovic
- Bruyère Research Institute, University of Ottawa, Ottawa, Ontario, Canada
| | - Kevin Pottie
- C.T. Lamont Primary Care Research Centre, Bruyère Research Institute, Ottawa, Canada
- Department of Family Medicine, Schulich School of Medicine and Dentistry, Western University, London, Canada
| | - Loveline Niba
- Department of Public Health, The University of Bamenda, Bamenda, Cameroon
- Nutrition and Health Research Group (NHRG), Bamenda, Cameroon
| | - Cindy Feng
- School of Epidemiology and Public Health, University of Ottawa, Ottawa, Ontario, Canada
| | - Miriam N Nguliefem
- School of Epidemiology and Public Health, University of Ottawa, Ottawa, Ontario, Canada
| | - Peter Tugwell
- Bruyère Research Institute, University of Ottawa, Ottawa, Ontario, Canada
- Clinical Epidemiology Program, Ottawa Hospital Research Institute, Ottawa, Canada
- Faculty of Medicine, University of Ottawa, Ottawa, Canada
| | - Lawrence Mbuagbaw
- Department of Health Research Methods, Evidence, and Impact, McMaster University, Hamilton, Ontario, Canada
| | - Vivian Welch
- Bruyère Research Institute, University of Ottawa, Ottawa, Ontario, Canada
- School of Epidemiology and Public Health, University of Ottawa, Ottawa, Ontario, Canada
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Baba A, Smith M, Potter BK, Chan AW, Moher D, Offringa M. Guidelines for reporting pediatric and child health clinical trial protocols and reports: study protocol for SPIRIT-Children and CONSORT-Children. Trials 2024; 25:96. [PMID: 38287439 PMCID: PMC10826142 DOI: 10.1186/s13063-024-07948-7] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/06/2023] [Accepted: 01/22/2024] [Indexed: 01/31/2024] Open
Abstract
BACKGROUND Despite the critical importance of clinical trials to provide evidence about the effects of intervention for children and youth, a paucity of published high-quality pediatric clinical trials persists. Sub-optimal reporting of key trial elements necessary to critically appraise and synthesize findings is prevalent. To harmonize and provide guidance for reporting in pediatric controlled clinical trial protocols and reports, reporting guideline extensions to the Standard Protocol Items: Recommendations for Interventional Trials (SPIRIT) and Consolidated Standards of Reporting Trials (CONSORT) guidelines specific to pediatrics are being developed: SPIRIT-Children (SPIRIT-C) and CONSORT-Children (CONSORT-C). METHODS The development of SPIRIT-C/CONSORT-C will be informed by the Enhancing the Quality and Transparency of Health Research Quality (EQUATOR) method for reporting guideline development in the following stages: (1) generation of a preliminary list of candidate items, informed by (a) items developed during initial development efforts and child relevant items from recent published SPIRIT and CONSORT extensions; (b) two systematic reviews and environmental scan of the literature; (c) workshops with young people; (2) an international Delphi study, where a wide range of panelists will vote on the inclusion or exclusion of candidate items on a nine-point Likert scale; (3) a consensus meeting to discuss items that have not reached consensus in the Delphi study and to "lock" the checklist items; (4) pilot testing of items and definitions to ensure that they are understandable, useful, and applicable; and (5) a final project meeting to discuss each item in the context of pilot test results. Key partners, including young people (ages 12-24 years) and family caregivers (e.g., parents) with lived experiences with pediatric clinical trials, and individuals with expertise and involvement in pediatric trials will be involved throughout the project. SPIRIT-C/CONSORT-C will be disseminated through publications, academic conferences, and endorsement by pediatric journals and relevant research networks and organizations. DISCUSSION SPIRIT/CONSORT-C may serve as resources to facilitate comprehensive reporting needed to understand pediatric clinical trial protocols and reports, which may improve transparency within pediatric clinical trials and reduce research waste. TRIAL REGISTRATION The development of these reporting guidelines is registered with the EQUATOR Network: SPIRIT-Children ( https://www.equator-network.org/library/reporting-guidelines-under-development/reporting-guidelines-under-development-for-clinical-trials-protocols/#35 ) and CONSORT-Children ( https://www.equator-network.org/library/reporting-guidelines-under-development/reporting-guidelines-under-development-for-clinical-trials/#CHILD ).
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Affiliation(s)
- Ami Baba
- Child Health Evaluative Sciences, The Hospital for Sick Children, Toronto, ON, Canada
| | - Maureen Smith
- Patient Partner, Canadian Organization for Rare Disorders, Ottawa, ON, Canada
| | - Beth K Potter
- School of Epidemiology and Public Health, University of Ottawa, Ottawa, ON, Canada
| | - An-Wen Chan
- Department of Medicine, Women's College Research Institute, University of Toronto, Toronto, ON, Canada
- Institute of Health Policy, Management and Evaluation, University of Toronto, Toronto, ON, Canada
| | - David Moher
- Centre for Journalology, Clinical Epidemiology Program, Ottawa Hospital Research Institute, Ottawa, ON, Canada
| | - Martin Offringa
- Child Health Evaluative Sciences, The Hospital for Sick Children, Toronto, ON, Canada.
- Institute of Health Policy, Management and Evaluation, University of Toronto, Toronto, ON, Canada.
- Peter Gilgan Centre for Research and Learning, The Hospital for Sick Children, 686 Bay Street, Toronto, ON, M5G 0A4, Canada.
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7
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Grech V, Eldawlatly AA. STROBE, CONSORT, PRISMA, MOOSE, STARD, SPIRIT, and other guidelines - Overview and application. Saudi J Anaesth 2024; 18:137-141. [PMID: 38313708 PMCID: PMC10833025 DOI: 10.4103/sja.sja_545_23] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/21/2023] [Accepted: 06/24/2023] [Indexed: 02/06/2024] Open
Abstract
The purpose of research is to seek answers and new knowledge. When conducted properly and systematically, research adds to humanity's corpus of knowledge and hence to our general advancement. However, this is only possible if reported research is accurate and transparent. Guidelines for all the major types of studies (STROBE, CONSORT, PRISMA, MOOSE, STARD, and SPIRIT) have been developed and refined over the years, and their inception, development, and application are briefly discussed in this paper. Indeed, there are currently over 250 of these guidelines for various types of medical research, and these are published by the EQUATOR network. This paper will also briefly review progress in acceptance and adoption of these guidelines.
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Affiliation(s)
- Victor Grech
- Consultant Paediatrician (Cardiology), Mater Dei Hospital, Malta
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8
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Pantha S, Jones M, Gartoulla P, Gray R. A Systematic Review to Inform the Development of a Reporting Guideline for Concept Mapping Research. Methods Protoc 2023; 6:101. [PMID: 37888033 PMCID: PMC10609252 DOI: 10.3390/mps6050101] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/02/2023] [Revised: 09/28/2023] [Accepted: 10/10/2023] [Indexed: 10/28/2023] Open
Abstract
Concept mapping is a phased, mixed-method approach that is increasingly used in health research to develop an understanding of complex phenomena. The six phases of concept mapping are preparation, idea generation, structuring (clustering and prioritization), data analysis, interpretation, and utilization of the map. The reporting of concept mapping research requires the development of a specific reporting guideline. We conducted a systematic review to identify candidate reporting items for inclusion in a reporting guideline. Three databases (MEDLINE, CINAHL, and PsycInfo) were searched to identify studies that used concept mapping methodology. We included 75 concept mapping studies published since 2019 from which we extracted information about the quality of reporting. A third of the studies focused on public health. We identified 71 candidate items that relate to the quality of reporting concept mapping research. The rationale for the study, the focus prompt, procedures for brainstorming, and structuring statements were consistently reported across the included studies. The process for developing the focus prompt, the rationale for the size of the stakeholder groups, and the process for determining the final concept map were generally not reported. The findings from the review will be used to inform the development of our reporting guideline for concept mapping research.
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Affiliation(s)
- Sandesh Pantha
- School of Nursing and Midwifery, La Trobe University, Bundoora, VIC 3086, Australia;
| | - Martin Jones
- Department of Rural Health, University of South Australia, Whyalla Campus, Whyalla Norrie, SA 5608, Australia;
| | - Pragya Gartoulla
- Australian Institute of Family Studies, Melbourne, VIC 3000, Australia;
| | - Richard Gray
- School of Nursing and Midwifery, La Trobe University, Bundoora, VIC 3086, Australia;
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9
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Kilicoglu H, Jiang L, Hoang L, Mayo-Wilson E, Vinkers CH, Otte WM. Methodology reporting improved over time in 176,469 randomized controlled trials. J Clin Epidemiol 2023; 162:19-28. [PMID: 37562729 PMCID: PMC10829891 DOI: 10.1016/j.jclinepi.2023.08.004] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/16/2023] [Revised: 07/25/2023] [Accepted: 08/02/2023] [Indexed: 08/12/2023]
Abstract
OBJECTIVES To describe randomized controlled trial (RCT) methodology reporting over time. STUDY DESIGN AND SETTING We used a deep learning-based sentence classification model based on the Consolidated Standards of Reporting Trials (CONSORT) statement, considered minimum requirements for reporting RCTs. We included 176,469 RCT reports published between 1966 and 2018. We analyzed the reporting trends over 5-year time periods, grouping trials from 1966 to 1990 in a single stratum. We also explored the effect of journal impact factor (JIF) and medical discipline. RESULTS Population, Intervention, Comparator, Outcome (PICO) items were commonly reported during each period, and reporting increased over time (e.g., interventions: 79.1% during 1966-1990 to 87.5% during 2010-2018). Reporting of some methods information has increased, although there is room for improvement (e.g., sequence generation: 10.8-41.8%). Some items are reported infrequently (e.g., allocation concealment: 5.1-19.3%). The number of items reported and JIF are weakly correlated (Pearson's r (162,702) = 0.16, P < 0.001). The differences in the proportion of items reported between disciplines are small (<10%). CONCLUSION Our analysis provides large-scale quantitative support for the hypothesis that RCT methodology reporting has improved over time. Extending these models to all CONSORT items could facilitate compliance checking during manuscript authoring and peer review, and support metaresearch.
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Affiliation(s)
- Halil Kilicoglu
- School of Information Sciences, University of Illinois Urbana-Champaign, Champaign, IL, USA.
| | - Lan Jiang
- School of Information Sciences, University of Illinois Urbana-Champaign, Champaign, IL, USA
| | - Linh Hoang
- School of Information Sciences, University of Illinois Urbana-Champaign, Champaign, IL, USA
| | - Evan Mayo-Wilson
- Department of Epidemiology, University of North Carolina School of Global Public Health, Chapel Hill, NC, USA
| | - Christiaan H Vinkers
- Department of Psychiatry and Anatomy & Neurosciences, Amsterdam University Medical Center Location Vrije Universiteit Amsterdam, 1081 HV, Amsterdam, The Netherlands; Amsterdam Public Health, Mental Health Program and Amsterdam Neuroscience, Mood, Anxiety, Psychosis, Sleep & Stress Program, Amsterdam, The Netherlands; GGZ inGeest Mental Health Care, 1081 HJ, Amsterdam, The Netherlands
| | - Willem M Otte
- Department of Child Neurology, UMC Utrecht Brain Center, University Medical Center Utrecht, and Utrecht University, Utrecht, The Netherlands
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10
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Dal Santo T, Rice DB, Amiri LSN, Tasleem A, Li K, Boruff JT, Geoffroy MC, Benedetti A, Thombs BD. Methods and results of studies on reporting guideline adherence are poorly reported: a meta-research study. J Clin Epidemiol 2023; 159:225-234. [PMID: 37271424 DOI: 10.1016/j.jclinepi.2023.05.017] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/06/2023] [Revised: 05/16/2023] [Accepted: 05/22/2023] [Indexed: 06/06/2023]
Abstract
OBJECTIVES We investigated recent meta-research studies on adherence to four reporting guidelines to determine the proportion that provided (1) an explanation for how adherence to guideline items was rated and (2) results from all included individual studies. We examined conclusions of each meta-research study to evaluate possible repetitive and similar findings. STUDY DESIGN AND SETTING A cross-sectional meta-research study. MEDLINE (Ovid) was searched on July 5, 2022 for studies that used any version of the Consolidated Standards of Reporting Trials, Preferred Reporting Items for Systematic Reviews and Meta-Analyses, Standards for the Reporting of Diagnostic Accuracy Studies, or Strengthening the Reporting of Observational Studies in Epidemiology reporting guidelines or their extensions to evaluate reporting. RESULTS Of 148 included meta-research studies published between August 2020 and June 2022, 14 (10%, 95% confidence interval [CI] 6%-15%) provided a fully replicable explanation of how they coded the adherence ratings and 49 (33%, 95% CI 26%-41%) completely reported individual study results. Of 90 studies that classified reporting as adequate or inadequate in the study abstract, six (7%, 95% CI 3%-14%) concluded that reporting was adequate, but none of those six studies provided information on how items were coded or provided item-level results for included studies. CONCLUSION Almost all included meta-research studies found that reporting in health research is suboptimal. However, few of these reported enough information for verification or replication.
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Affiliation(s)
- Tiffany Dal Santo
- Lady Davis Institute for Medical Research, Jewish General Hospital, Montreal, Quebec, Canada; Department of Psychiatry, McGill University, Montreal, Quebec, Canada
| | - Danielle B Rice
- Department of Psychology, St. Joseph's Healthcare Hamilton, Hamilton, Ontario, Canada; Department of Psychiatry and Behavioural Neurosciences, McMaster University, Hamilton, Ontario, Canada
| | - Lara S N Amiri
- Lady Davis Institute for Medical Research, Jewish General Hospital, Montreal, Quebec, Canada
| | - Amina Tasleem
- Lady Davis Institute for Medical Research, Jewish General Hospital, Montreal, Quebec, Canada
| | - Kexin Li
- Lady Davis Institute for Medical Research, Jewish General Hospital, Montreal, Quebec, Canada
| | - Jill T Boruff
- Schulich Library of Physical Sciences, Life Sciences, and Engineering, McGill University, Montreal, Quebec, Canada
| | - Marie-Claude Geoffroy
- Department of Psychiatry, McGill University, Montreal, Quebec, Canada; Department of Educational and Counselling Psychology, McGill University, Montreal, Quebec, Canada; McGill Group for Suicide Studies, Douglas Research Centre, Montreal, Quebec, Canada
| | - Andrea Benedetti
- Department of Epidemiology, Biostatistics, and Occupational Health, McGill University, Montreal, Quebec, Canada; Department of Medicine, McGill University, Montreal, Quebec, Canada; Respiratory Epidemiology and Clinical Research Unit, McGill University Health Centre, Montreal, Quebec, Canada; Biomedical Ethics Unit, McGill University, Montreal, Quebec, Canada
| | - Brett D Thombs
- Lady Davis Institute for Medical Research, Jewish General Hospital, Montreal, Quebec, Canada; Department of Psychiatry, McGill University, Montreal, Quebec, Canada; Department of Epidemiology, Biostatistics, and Occupational Health, McGill University, Montreal, Quebec, Canada; Department of Medicine, McGill University, Montreal, Quebec, Canada; Biomedical Ethics Unit, McGill University, Montreal, Quebec, Canada; Department of Psychology, McGill University, Montreal, Quebec, Canada.
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11
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Speich B, Mann E, Schönenberger CM, Mellor K, Griessbach AN, Dhiman P, Gandhi P, Lohner S, Agarwal A, Odutayo A, Puebla I, Clark A, Chan AW, Schlussel MM, Ravaud P, Moher D, Briel M, Boutron I, Schroter S, Hopewell S. Reminding Peer Reviewers of Reporting Guideline Items to Improve Completeness in Published Articles: Primary Results of 2 Randomized Trials. JAMA Netw Open 2023; 6:e2317651. [PMID: 37294569 PMCID: PMC10257091 DOI: 10.1001/jamanetworkopen.2023.17651] [Citation(s) in RCA: 11] [Impact Index Per Article: 11.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/27/2023] [Accepted: 04/21/2023] [Indexed: 06/10/2023] Open
Abstract
Importance Numerous studies have shown that adherence to reporting guidelines is suboptimal. Objective To evaluate whether asking peer reviewers to check if specific reporting guideline items were adequately reported would improve adherence to reporting guidelines in published articles. Design, Setting, and Participants Two parallel-group, superiority randomized trials were performed using manuscripts submitted to 7 biomedical journals (5 from the BMJ Publishing Group and 2 from the Public Library of Science) as the unit of randomization, with peer reviewers allocated to the intervention or control group. Interventions The first trial (CONSORT-PR) focused on manuscripts that presented randomized clinical trial (RCT) results and reported following the Consolidated Standards of Reporting Trials (CONSORT) guideline, and the second trial (SPIRIT-PR) focused on manuscripts that presented RCT protocols and reported following the Standard Protocol Items: Recommendations for Interventional Trials (SPIRIT) guideline. The CONSORT-PR trial included manuscripts that described RCT primary results (submitted July 2019 to July 2021). The SPIRIT-PR trial included manuscripts that contained RCT protocols (submitted June 2020 to May 2021). Manuscripts in both trials were randomized (1:1) to the intervention or control group; the control group received usual journal practice. In the intervention group of both trials, peer reviewers received an email from the journal that asked them to check whether the 10 most important and poorly reported CONSORT (for CONSORT-PR) or SPIRIT (for SPIRIT-PR) items were adequately reported in the manuscript. Peer reviewers and authors were not informed of the purpose of the study, and outcome assessors were blinded. Main Outcomes and Measures The difference in the mean proportion of adequately reported 10 CONSORT or SPIRIT items between the intervention and control groups in published articles. Results In the CONSORT-PR trial, 510 manuscripts were randomized. Of those, 243 were published (122 in the intervention group and 121 in the control group). A mean proportion of 69.3% (95% CI, 66.0%-72.7%) of the 10 CONSORT items were adequately reported in the intervention group and 66.6% (95% CI, 62.5%-70.7%) in the control group (mean difference, 2.7%; 95% CI, -2.6% to 8.0%). In the SPIRIT-PR trial, of the 244 randomized manuscripts, 178 were published (90 in the intervention group and 88 in the control group). A mean proportion of 46.1% (95% CI, 41.8%-50.4%) of the 10 SPIRIT items were adequately reported in the intervention group and 45.6% (95% CI, 41.7% to 49.4%) in the control group (mean difference, 0.5%; 95% CI, -5.2% to 6.3%). Conclusions and Relevance These 2 randomized trials found that it was not useful to implement the tested intervention to increase reporting completeness in published articles. Other interventions should be assessed and considered in the future. Trial Registration ClinicalTrials.gov Identifiers: NCT05820971 (CONSORT-PR) and NCT05820984 (SPIRIT-PR).
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Affiliation(s)
- Benjamin Speich
- Centre for Statistics in Medicine, Nuffield Department of Orthopaedics, Rheumatology and Musculoskeletal Sciences, University of Oxford, Oxford, United Kingdom
- CLEAR Methods Center, Division of Clinical Epidemiology, Department of Clinical Research, University Hospital Basel, University of Basel, Basel, Switzerland
| | - Erika Mann
- PLOS, Public Library of Science, San Francisco, California
| | - Christof M. Schönenberger
- CLEAR Methods Center, Division of Clinical Epidemiology, Department of Clinical Research, University Hospital Basel, University of Basel, Basel, Switzerland
| | - Katie Mellor
- Centre for Statistics in Medicine, Nuffield Department of Orthopaedics, Rheumatology and Musculoskeletal Sciences, University of Oxford, Oxford, United Kingdom
| | - Alexandra N. Griessbach
- CLEAR Methods Center, Division of Clinical Epidemiology, Department of Clinical Research, University Hospital Basel, University of Basel, Basel, Switzerland
| | - Paula Dhiman
- Centre for Statistics in Medicine, Nuffield Department of Orthopaedics, Rheumatology and Musculoskeletal Sciences, University of Oxford, Oxford, United Kingdom
- The EQUATOR Network, Oxford, United Kingdom
| | - Pooja Gandhi
- Rehabilitation Sciences Institute, University of Toronto, Toronto, Ontario, Canada
- Swallowing Rehabilitation Research Laboratory, Toronto Rehabilitation Institute, University Health Network, Toronto, Ontario, Canada
| | - Szimonetta Lohner
- Cochrane Hungary, Clinical Centre of the University of Pécs, Medical School, University of Pécs, Pécs, Hungary
- Department of Public Health Medicine, Medical School, University of Pécs, Pécs, Hungary
| | - Arnav Agarwal
- Department of Health Research Methods, Evidence, and Impact, McMaster University, Hamilton, Ontario, Canada
- Division of General Internal Medicine, Department of Medicine, McMaster University, Hamilton, Ontario, Canada
| | - Ayodele Odutayo
- Centre for Statistics in Medicine, Nuffield Department of Orthopaedics, Rheumatology and Musculoskeletal Sciences, University of Oxford, Oxford, United Kingdom
- Division of Nephrology, Toronto General Hospital, University Health Network, Toronto, Ontario, Canada
| | - Iratxe Puebla
- PLOS, Public Library of Science, San Francisco, California
- ASAPbio, Cambridge, United Kingdom
- PLOS ONE, Public Library of Science, Cambridge, United Kingdom
| | | | - An-Wen Chan
- Department of Medicine, Women’s College Research Institute, Women’s College Hospital, University of Toronto, Toronto, Ontario, Canada
| | - Michael M. Schlussel
- Centre for Statistics in Medicine, Nuffield Department of Orthopaedics, Rheumatology and Musculoskeletal Sciences, University of Oxford, Oxford, United Kingdom
- The EQUATOR Network, Oxford, United Kingdom
| | - Philippe Ravaud
- Centre d’Épidémiologie Clinique, Hôpital Hôtel-Dieu, Assistance Publique Hôpitaux de Paris, Paris, France
- Université de Paris, CRESS, Inserm, INRA, Paris, France
| | - David Moher
- Centre for Journalology, Clinical Epidemiology Program, Ottawa Hospital Research Institute, Ottawa, Ontario, Canada
- School of Epidemiology and Public Health, Faculty of Medicine, University of Ottawa, Ottawa, Ontario, Canada
| | - Matthias Briel
- CLEAR Methods Center, Division of Clinical Epidemiology, Department of Clinical Research, University Hospital Basel, University of Basel, Basel, Switzerland
- Department of Health Research Methods, Evidence, and Impact, McMaster University, Hamilton, Ontario, Canada
| | - Isabelle Boutron
- Centre d’Épidémiologie Clinique, Hôpital Hôtel-Dieu, Assistance Publique Hôpitaux de Paris, Paris, France
- Université de Paris, CRESS, Inserm, INRA, Paris, France
| | - Sara Schroter
- The BMJ, London, United Kingdom
- Faculty of Public Health & Policy, London School of Hygiene & Tropical Medicine, London, United Kingdom
| | - Sally Hopewell
- Centre for Statistics in Medicine, Nuffield Department of Orthopaedics, Rheumatology and Musculoskeletal Sciences, University of Oxford, Oxford, United Kingdom
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12
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Wang W, Liu M, He Q, Wang M, Xu J, Li L, Li G, He L, Zou K, Sun X. Data source profile reporting by studies that use routinely collected health data to explore the effects of drug treatment. BMC Med Res Methodol 2023; 23:95. [PMID: 37081410 PMCID: PMC10120171 DOI: 10.1186/s12874-023-01922-8] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/21/2022] [Accepted: 04/13/2023] [Indexed: 04/22/2023] Open
Abstract
BACKGROUND Routinely collected health data (RCD) are important resource for exploring drug treatment effects. Adequate reporting of data source profiles may increase the credibility of evidence generated from these data. This study conducted a systematic literature review to evaluate the reporting characteristics of databases used by RCD studies to explore the effects of drug treatment. METHODS Observational studies published in 2018 that used RCD to explore the effects of drug treatment were identified by searching PubMed. We categorized eligible reports into two groups by journal impact factor (IF), including the top 5 general medical journals (NEJM, Lancet, JAMA, BMJ and JAMA Internal Medicine) and the other journals. The reporting characteristics of the databases used were described and compared between the two groups and between studies citing and not citing database references. RESULTS A total of 222 studies were included, of which 53 (23.9%) reported that they applied data linkage, 202 (91.0%) reported the type of database, and 211 (95.0%) reported the coverage of the data source. Only 81 (36.5%) studies reported the timeframe of the database. Studies in high-impact journals were more likely to report that they applied data linkage (65.1% vs. 20.2%) and used electronic medical records (EMR) (73.7% vs. 30.0%) and national data sources (77.8% vs. 51.3%) than those published in other medical journals. There were 137/222 (61.7%) cited database references. Studies with database-specific citations had better reporting of the data sources and were more likely to publish in high-impact journals than those without (mean IF, 6.08 vs. 4.09). CONCLUSIONS Some deficits were found in the reporting quality of databases in studies that used RCD to explore the effects of drug treatment. Studies citing database-specific references may provide detailed information regarding data source characteristics. The adoption of reporting guidelines and education on their use is urgently needed to promote transparency by research groups.
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Affiliation(s)
- Wen Wang
- Chinese Evidence-based Medicine Center and Cochrane China Center, West China Hospital, Sichuan University, 37 Guo Xue Xiang, Chengdu, 610041, Sichuan, China
- NMPA Key Laboratory for Real World Data Research and Evaluation in Hainan, Chengdu, China
- Sichuan Center of Technology Innovation for Real World Data, Chengdu, China
| | - Mei Liu
- Chinese Evidence-based Medicine Center and Cochrane China Center, West China Hospital, Sichuan University, 37 Guo Xue Xiang, Chengdu, 610041, Sichuan, China
- NMPA Key Laboratory for Real World Data Research and Evaluation in Hainan, Chengdu, China
- Sichuan Center of Technology Innovation for Real World Data, Chengdu, China
| | - Qiao He
- Chinese Evidence-based Medicine Center and Cochrane China Center, West China Hospital, Sichuan University, 37 Guo Xue Xiang, Chengdu, 610041, Sichuan, China
- NMPA Key Laboratory for Real World Data Research and Evaluation in Hainan, Chengdu, China
- Sichuan Center of Technology Innovation for Real World Data, Chengdu, China
| | - Mingqi Wang
- Chinese Evidence-based Medicine Center and Cochrane China Center, West China Hospital, Sichuan University, 37 Guo Xue Xiang, Chengdu, 610041, Sichuan, China
- NMPA Key Laboratory for Real World Data Research and Evaluation in Hainan, Chengdu, China
- Sichuan Center of Technology Innovation for Real World Data, Chengdu, China
| | - Jiayue Xu
- Chinese Evidence-based Medicine Center and Cochrane China Center, West China Hospital, Sichuan University, 37 Guo Xue Xiang, Chengdu, 610041, Sichuan, China
- NMPA Key Laboratory for Real World Data Research and Evaluation in Hainan, Chengdu, China
- Sichuan Center of Technology Innovation for Real World Data, Chengdu, China
| | - Ling Li
- Chinese Evidence-based Medicine Center and Cochrane China Center, West China Hospital, Sichuan University, 37 Guo Xue Xiang, Chengdu, 610041, Sichuan, China
- NMPA Key Laboratory for Real World Data Research and Evaluation in Hainan, Chengdu, China
- Sichuan Center of Technology Innovation for Real World Data, Chengdu, China
| | - Guowei Li
- Department of Health Research Methods, Evidence and Impact, McMaster University, Hamilton, ON, L8S 4L8, Canada
- Center for Clinical Epidemiology and Methodology, Guangdong Second Provincial General Hospital, Guangzhou, 510317, Guangdong, China
- Biostatistics Unit, Research Institute at St. Joseph's Healthcare Hamilton, Hamilton, ON, L8N 4A6, Canada
| | - Lin He
- Intelligence Library Center, West China Hospital, Sichuan University, Chengdu, 610041, Sichuan, China
| | - Kang Zou
- Chinese Evidence-based Medicine Center and Cochrane China Center, West China Hospital, Sichuan University, 37 Guo Xue Xiang, Chengdu, 610041, Sichuan, China
| | - Xin Sun
- Chinese Evidence-based Medicine Center and Cochrane China Center, West China Hospital, Sichuan University, 37 Guo Xue Xiang, Chengdu, 610041, Sichuan, China.
- NMPA Key Laboratory for Real World Data Research and Evaluation in Hainan, Chengdu, China.
- Sichuan Center of Technology Innovation for Real World Data, Chengdu, China.
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Ryan M, Hoffmann T, Hofmann R, van Sluijs E. Incomplete reporting of complex interventions: a call to action for journal editors to review their submission guidelines. Trials 2023; 24:176. [PMID: 36945048 PMCID: PMC10031932 DOI: 10.1186/s13063-023-07215-1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/28/2022] [Accepted: 02/28/2023] [Indexed: 03/23/2023] Open
Abstract
Reporting of intervention research has been inadequate for many years. The development and promotion of freely available checklists aims to address this problem by providing researchers with a list of items that require reporting to enable study interpretation and replication. In this commentary, we present evidence from a recent systematic review of 51 randomised controlled trials published 2015-2020 that inadequate intervention reporting remains a widespread issue and that checklists are not being used to describe all intervention components. In 2022, we assessed the submission guidelines of 33 journals that published articles included in our review and found that just one at the time encouraged the use of reporting checklists for all intervention components. To drive progress, we contacted the editors of the other 32 journals and requested that they update their submission guidelines in response. We conclude by highlighting the waste associated with current practices and encourage journals from all fields to urgently review their submission guidelines. Only through collective action can we build an evidence base that is fit for purpose.
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Affiliation(s)
- Mairead Ryan
- Medical Research Council Epidemiology Unit, University of Cambridge, Cambridge, UK.
- Faculty of Education, University of Cambridge, Cambridge, UK.
| | - Tammy Hoffmann
- Faculty of Health Sciences and Medicine, Bond University, Gold Coast, Australia
| | - Riikka Hofmann
- Faculty of Education, University of Cambridge, Cambridge, UK
| | - Esther van Sluijs
- Medical Research Council Epidemiology Unit, University of Cambridge, Cambridge, UK
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14
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Emary PC, Stuber KJ, Mbuagbaw L, Oremus M, Nolet PS, Nash JV, Bauman CA, Ciraco C, Couban RJ, Busse JW. Quality of Reporting Using Good Reporting of A Mixed Methods Study Criteria in Chiropractic Mixed Methods Research: A Methodological Review. J Manipulative Physiol Ther 2023; 46:152-161. [PMID: 38142381 DOI: 10.1016/j.jmpt.2023.11.004] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/02/2021] [Revised: 07/25/2023] [Accepted: 11/07/2023] [Indexed: 12/25/2023]
Abstract
OBJECTIVE The purpose of this review was to examine the reporting in chiropractic mixed methods research using Good Reporting of A Mixed Methods Study (GRAMMS) criteria. METHODS In this methodological review, we searched MEDLINE, Embase, CINAHL, and the Index to Chiropractic Literature from the inception of each database to December 31, 2020, for chiropractic studies reporting the use of both qualitative and quantitative methods or mixed qualitative methods. Pairs of reviewers independently screened titles, abstracts, and full-text studies, extracted data, and appraised reporting using the GRAMMS criteria and risk of bias with the Mixed Methods Appraisal Tool (MMAT). Generalized estimating equations were used to explore factors associated with reporting using GRAMMS criteria. RESULTS Of 1040 citations, 55 studies were eligible for review. Thirty-seven of these 55 articles employed either a multistage or convergent mixed methods design, and, on average, 3 of 6 GRAMMS items were reported among included studies. We found a strong positive correlation in scores between the GRAMMS and MMAT instruments (r = 0.78; 95% CI, 0.66-0.87). In our adjusted analysis, publications in journals indexed in Web of Science (adjusted odds ratio = 2.71; 95% CI, 1.48-4.95) were associated with higher reporting using GRAMMS criteria. Three of the 55 studies fully adhered to all 6 GRAMMS criteria, 4 studies adhered to 5 criteria, 10 studies adhered to 4 criteria, and the remaining 38 adhered to 3 criteria or fewer. CONCLUSION Our findings suggest that reporting in chiropractic mixed methods research using GRAMMS criteria was poor, particularly among studies with a higher risk of bias.
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Affiliation(s)
- Peter C Emary
- Michael G. DeGroote Institute for Pain Research and Care, McMaster University, Hamilton, Ontario, Canada; Chiropractic Department, D'Youville University, Buffalo, New York; Private practice, Langs Community Health Centre, Cambridge, Ontario, Canada.
| | - Kent J Stuber
- Parker University Research Center, Parker University, Dallas, Texas; Department of Graduate Education and Research, Canadian Memorial Chiropractic College, Toronto, Ontario, Canada
| | - Lawrence Mbuagbaw
- Biostatistics Unit, Father Sean O'Sullivan Research Centre, St. Joseph's Healthcare-Hamilton, Hamilton, Ontario, Canada; Centre for the Development of Best Practices in Health, Yaundé, Cameroon; Division of Global Health, Stellenbosch University, Stellenbosch, South Africa; Division of Global Health, Stellenbosch University, Stellenbosch, South Africa
| | - Mark Oremus
- Department of Health Research Methods, Evidence and Impact, McMaster University, Hamilton, Ontario, Canada; School of Public Health Sciences, University of Waterloo, Waterloo, Ontario, Canada
| | - Paul S Nolet
- Care and Public Health Research Institute (CAPHRI) School for Public Health and Primary Care, Maastricht University, Maastricht, The Netherlands
| | - Jennifer V Nash
- Department of Anesthesia, McMaster University, Hamilton, Ontario, Canada
| | - Craig A Bauman
- Department of Family Medicine, McMaster University, Hamilton, Ontario, Canada; Centre for Family Medicine Family Health Team, Kitchener, Ontario, Canada
| | | | - Rachel J Couban
- Michael G. DeGroote National Pain Centre, McMaster University, Hamilton, Ontario, Canada
| | - Jason W Busse
- Department of Health Research Methods, Evidence and Impact, McMaster University, Hamilton, Ontario, Canada; Department of Anesthesia, McMaster University, Hamilton, Ontario, Canada; Michael G. DeGroote National Pain Centre, McMaster University, Hamilton, Ontario, Canada
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15
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Cacciamani GE, Eppler M, Sayegh AS, Sholklapper T, Mohideen M, Miranda G, Goldenberg M, Sotelo RJ, Desai MM, Gill IS. Recommendations for Intraoperative Adverse Events Data Collection in Clinical Studies and Study Protocols. An ICARUS Global Surgical Collaboration Study. Int J Surg Protoc 2023; 27:23-83. [PMID: 36818424 PMCID: PMC9912855 DOI: 10.29337/ijsp.183] [Citation(s) in RCA: 4] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/26/2022] [Accepted: 11/08/2022] [Indexed: 02/11/2023] Open
Abstract
Introduction Intraoperative adverse events (iAEs) occur and have the potential to impact the postoperative course. However, iAEs are underreported and are not routinely collected in the contemporary surgical literature. There is no widely utilized system for the collection of essential aspects of iAEs, and there is no established database for the standardization and dissemination of this data that likely have implications for outcomes and patient safety. The Intraoperative Complication Assessment and Reporting with Universal Standards (ICARUS) Global Surgical Collaboration initiated a global effort to address these shortcomings, and the establishment of an adverse event data collection system is an essential step. In this study, we present the core-set variables for collecting iAEs that were based on the globally validated ICARUS criteria for surgical/interventional and anesthesiologic intraoperative adverse event collection and reporting. Material and Methods This article includes three tools to capture the essential aspects of iAEs. The core-set variables were developed from the globally validated ICARUS criteria for reporting iAEs (item 1). Next, the summary table was developed to guide researchers in summarizing the accumulated iAE data in item 1 (item 2). Finally, this article includes examples of the method and results sections to include in a manuscript reporting iAE data (item 3). Then, 5 scenarios demonstrating best practices for completing items 1-3 were presented both in prose and in a video produced by the ICARUS collaboration. Dissemination This article provides the surgical community with the tools for collecting essential iAE data. The ICARUS collaboration has already published the 13 criteria for reporting surgical adverse events, but this article is unique and essential as it actually provides the tools for iAE collection. The study team plans to collect feedback for future directions of adverse event collection and reporting. Highlights This article represents a novel, fully-encompassing system for the data collection of intraoperative adverse events.The presented core-set variables for reporting intraoperative adverse events are not based solely on our opinion, but rather are synthesized from the globally validated ICARUS criteria for reporting intraoperative adverse events.Together, the included text, figures, and ICARUS collaboration-produced video should equip any surgeon, anesthesiologist, or nurse with the tools to properly collect intraoperative adverse event data.Future directions include translation of this article to allow for the widest possible adoption of this important collection system.
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Affiliation(s)
- Giovanni E. Cacciamani
- USC Institute of Urology and Catherine and Joseph Aresty Department of Urology, Keck School of Medicine, University of Southern California, Los Angeles, CA, US
| | - Michael Eppler
- USC Institute of Urology and Catherine and Joseph Aresty Department of Urology, Keck School of Medicine, University of Southern California, Los Angeles, CA, US
| | - Aref S. Sayegh
- USC Institute of Urology and Catherine and Joseph Aresty Department of Urology, Keck School of Medicine, University of Southern California, Los Angeles, CA, US
| | - Tamir Sholklapper
- USC Institute of Urology and Catherine and Joseph Aresty Department of Urology, Keck School of Medicine, University of Southern California, Los Angeles, CA, US
| | - Muneeb Mohideen
- USC Institute of Urology and Catherine and Joseph Aresty Department of Urology, Keck School of Medicine, University of Southern California, Los Angeles, CA, US
| | - Gus Miranda
- USC Institute of Urology and Catherine and Joseph Aresty Department of Urology, Keck School of Medicine, University of Southern California, Los Angeles, CA, US
| | - Mitch Goldenberg
- USC Institute of Urology and Catherine and Joseph Aresty Department of Urology, Keck School of Medicine, University of Southern California, Los Angeles, CA, US
| | - Rene J. Sotelo
- USC Institute of Urology and Catherine and Joseph Aresty Department of Urology, Keck School of Medicine, University of Southern California, Los Angeles, CA, US
| | - Mihir M. Desai
- USC Institute of Urology and Catherine and Joseph Aresty Department of Urology, Keck School of Medicine, University of Southern California, Los Angeles, CA, US
| | - Inderbir S. Gill
- USC Institute of Urology and Catherine and Joseph Aresty Department of Urology, Keck School of Medicine, University of Southern California, Los Angeles, CA, US
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16
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Coumoundouros C, Mårtensson E, Ferraris G, Zuidberg JM, von Essen L, Sanderman R, Woodford J. Implementation of e-Mental Health Interventions for Informal Caregivers of Adults With Chronic Diseases: Mixed Methods Systematic Review With a Qualitative Comparative Analysis and Thematic Synthesis. JMIR Ment Health 2022; 9:e41891. [PMID: 36314782 PMCID: PMC9752475 DOI: 10.2196/41891] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/15/2022] [Accepted: 10/25/2022] [Indexed: 12/05/2022] Open
Abstract
BACKGROUND Informal caregivers commonly experience mental health difficulties related to their caregiving role. e-Mental health interventions provide mental health support in a format that may be more accessible to informal caregivers. However, e-mental health interventions are seldom implemented in real-world practice. OBJECTIVE This mixed methods systematic review aimed to examine factors associated with the effectiveness and implementation of e-mental health interventions for informal caregivers of adults with chronic diseases. To achieve this aim, two approaches were adopted: combinations of implementation and intervention characteristics sufficient for intervention effectiveness were explored using qualitative comparative analysis, and barriers to and facilitators of implementation of e-mental health interventions for informal caregivers were explored using thematic synthesis. METHODS We identified relevant studies published from January 1, 2007, to July 6, 2022, by systematically searching 6 electronic databases and various secondary search strategies. Included studies reported on the effectiveness or implementation of e-mental health interventions for informal caregivers of adults with cancer, chronic obstructive pulmonary disease, dementia, diabetes, heart disease, or stroke. Randomized controlled trials reporting on caregivers' mental health outcomes were included in a crisp-set qualitative comparative analysis. We assessed randomized controlled trials for bias using the Risk of Bias 2.0 tool, and we assessed how pragmatic or explanatory their trial design was using the Pragmatic Explanatory Continuum Indicator Summary 2 tool. Studies of any design reporting on implementation were included in a thematic synthesis using the Consolidated Framework for Implementation Research to identify barriers to and facilitators of implementation. RESULTS Overall, 53 reports, representing 29 interventions, were included in the review. Most interventions (27/29, 93%) focused on informal cancer or dementia caregivers. In total, 14 reports were included in the qualitative comparative analysis, exploring conditions including the presence of peer or professional support and key persuasive design features. Low consistency and coverage prevented the determination of condition sets sufficient for intervention effectiveness. Overall, 44 reports were included in the thematic synthesis, and 152 barriers and facilitators were identified, with the majority related to the intervention and individual characteristic domains of the Consolidated Framework for Implementation Research. Implementation barriers and facilitators in the inner setting (eg, organizational culture) and outer setting (eg, external policies and resources) domains were largely unexplored. CONCLUSIONS e-Mental health interventions for informal caregivers tend to be well-designed, with several barriers to and facilitators of implementation identified related to the intervention and individual user characteristics. Future work should focus on exploring the views of stakeholders involved in implementation to determine barriers to and facilitators of implementing e-mental health interventions for informal caregivers, focusing on inner and outer setting barriers and facilitators. TRIAL REGISTRATION PROSPERO (International Prospective Register of Systematic Reviews) CRD42020155727; https://www.crd.york.ac.uk/prospero/display_record.php?ID=CRD42020155727. INTERNATIONAL REGISTERED REPORT IDENTIFIER (IRRID) RR2-10.1136/bmjopen-2019-035406.
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Affiliation(s)
- Chelsea Coumoundouros
- Healthcare Sciences and e-Health, Department of Women's and Children's Health, Uppsala University, Uppsala, Sweden
| | - Erika Mårtensson
- Healthcare Sciences and e-Health, Department of Women's and Children's Health, Uppsala University, Uppsala, Sweden.,Centre for Gender Research, Uppsala University, Uppsala, Sweden
| | - Giulia Ferraris
- Department of Health Psychology, University Medical Center Groningen, University of Groningen, Groningen, Netherlands
| | | | - Louise von Essen
- Healthcare Sciences and e-Health, Department of Women's and Children's Health, Uppsala University, Uppsala, Sweden
| | - Robbert Sanderman
- Department of Health Psychology, University Medical Center Groningen, University of Groningen, Groningen, Netherlands.,Department of Psychology, Health and Technology, University of Twente, Enschede, Netherlands
| | - Joanne Woodford
- Healthcare Sciences and e-Health, Department of Women's and Children's Health, Uppsala University, Uppsala, Sweden
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17
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Sayegh AS, Eppler M, Ballon J, Hemal S, Goldenberg M, Sotelo R, Cacciamani GE. Strategies for Improving the Standardization of Perioperative Adverse Events in Surgery and Anesthesiology: “The Long Road from Assessment to Collection, Grading and Reporting”. J Clin Med 2022; 11:jcm11175115. [PMID: 36079044 PMCID: PMC9457420 DOI: 10.3390/jcm11175115] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/20/2022] [Accepted: 08/27/2022] [Indexed: 11/16/2022] Open
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18
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Schulz R, Barnett A, Bernard R, Brown NJL, Byrne JA, Eckmann P, Gazda MA, Kilicoglu H, Prager EM, Salholz-Hillel M, Ter Riet G, Vines T, Vorland CJ, Zhuang H, Bandrowski A, Weissgerber TL. Is the future of peer review automated? BMC Res Notes 2022; 15:203. [PMID: 35690782 PMCID: PMC9188010 DOI: 10.1186/s13104-022-06080-6] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/04/2022] [Accepted: 05/18/2022] [Indexed: 12/19/2022] Open
Abstract
The rising rate of preprints and publications, combined with persistent inadequate reporting practices and problems with study design and execution, have strained the traditional peer review system. Automated screening tools could potentially enhance peer review by helping authors, journal editors, and reviewers to identify beneficial practices and common problems in preprints or submitted manuscripts. Tools can screen many papers quickly, and may be particularly helpful in assessing compliance with journal policies and with straightforward items in reporting guidelines. However, existing tools cannot understand or interpret the paper in the context of the scientific literature. Tools cannot yet determine whether the methods used are suitable to answer the research question, or whether the data support the authors' conclusions. Editors and peer reviewers are essential for assessing journal fit and the overall quality of a paper, including the experimental design, the soundness of the study's conclusions, potential impact and innovation. Automated screening tools cannot replace peer review, but may aid authors, reviewers, and editors in improving scientific papers. Strategies for responsible use of automated tools in peer review may include setting performance criteria for tools, transparently reporting tool performance and use, and training users to interpret reports.
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Affiliation(s)
- Robert Schulz
- BIH QUEST Center for Responsible Research, Berlin Institute of Health at Charité Universitätsmedizin Berlin, Berlin, Germany
| | - Adrian Barnett
- Australian Centre for Health Services Innovation and Centre for Healthcare Transformation, School of Public Health & Social Work, Queensland University of Technology, Brisbane, QLD, Australia
| | - René Bernard
- NeuroCure Cluster of Excellence, Charité Universitätsmedizin Berlin, Berlin, Germany
| | | | - Jennifer A Byrne
- Faculty of Medicine and Health, New South Wales Health Pathology, The University of Sydney, New South Wales, Australia
| | - Peter Eckmann
- Department of Neuroscience, University of California, San Diego, La Jolla, CA, USA
| | - Małgorzata A Gazda
- UMR 3525, Institut Pasteur, Université de Paris, CNRS, INSERM UA12, Comparative Functional Genomics group, Paris, France
| | - Halil Kilicoglu
- School of Information Sciences, University of Illinois Urbana-Champaign, Champaign, IL, USA
| | - Eric M Prager
- Translational Research and Development, Cohen Veterans Bioscience, New York, NY, USA
| | - Maia Salholz-Hillel
- BIH QUEST Center for Responsible Research, Berlin Institute of Health at Charité Universitätsmedizin Berlin, Berlin, Germany
| | - Gerben Ter Riet
- Faculty of Health, Center of Expertise Urban Vitality, Amsterdam University of Applied Science, Amsterdam, The Netherlands
| | - Timothy Vines
- DataSeer Research Data Services Ltd, Vancouver, BC, Canada
| | - Colby J Vorland
- Indiana University School of Public Health-Bloomington, Bloomington, IN, USA
| | - Han Zhuang
- School of Information Studies, Syracuse University, Syracuse, NY, USA
| | - Anita Bandrowski
- Department of Neuroscience, University of California, San Diego, La Jolla, CA, USA
| | - Tracey L Weissgerber
- BIH QUEST Center for Responsible Research, Berlin Institute of Health at Charité Universitätsmedizin Berlin, Berlin, Germany.
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Dewidar O, Rader T, Waddington H, Nicholls SG, Little J, Hardy BJ, Horsley T, Young T, Cuervo LG, Sharp MK, Chamberlain C, Shea B, Craig P, Lawson DO, Rizvi A, Wiysonge CS, Kredo T, Nguliefem MN, Ghogomu E, Francis D, Kristjansson E, Bhutta Z, Martin AA, Melendez-Torres GJ, Pantoja T, Wang X, Jull J, Roberts JH, Funnell S, White H, Krentel A, Mahande MJ, Ramke J, Wells GA, Petkovic J, Tugwell P, Pottie K, Mbuagbaw L, Welch V. Reporting of health equity considerations in equity-relevant observational studies: Protocol for a systematic assessment. F1000Res 2022. [DOI: 10.12688/f1000research.122185.1] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/13/2022] Open
Abstract
Background: The mitigation of unfair and avoidable differences in health is an increasing global priority. Observational studies including cohort, cross-sectional and case-control studies tend to report social determinants of health which could inform evidence syntheses on health equity and social justice. However, the extent of reporting and analysis of equity in equity-relevant observational studies is unknown. Methods: We define studies which report outcomes for populations at risk of experiencing inequities as “equity-relevant”. Using a random sampling technique we will identify 320 equity-relevant observational studies published between 1 January 2020 to 27 April 2022 by searching the MEDLINE database. We will stratify sampling by 1) studies in high-income countries (HIC) and low- and middle-income countries (LMIC) according to the World Bank classification, 2) studies focused on COVID and those which are not, 3) studies focused on populations at risk of experiencing inequities and those on general populations that stratify their analyses. We will use the PROGRESS framework which stands for place of residence, race or ethnicity, occupation, gender or sex, religion, education, socioeconomic status, social capital, to identify dimensions where inequities may exist. Using a previously developed data extraction form we will pilot-test on eligible studies and revise as applicable. Conclusions: The proposed methodological assessment of reporting will allow us to systematically understand the current reporting and analysis practices for health equity in observational studies. The findings of this study will help inform the development of the equity extension for the STROBE (Strengthening the Reporting of Observational studies in Epidemiology) reporting guidelines.
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20
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Rhon DI, Fritz JM, Kerns RD, McGeary DD, Coleman BC, Farrokhi S, Burgess DJ, Goertz CM, Taylor SL, Hoffmann T. TIDieR-telehealth: precision in reporting of telehealth interventions used in clinical trials - unique considerations for the Template for the Intervention Description and Replication (TIDieR) checklist. BMC Med Res Methodol 2022; 22:161. [PMID: 35655144 PMCID: PMC9161193 DOI: 10.1186/s12874-022-01640-7] [Citation(s) in RCA: 21] [Impact Index Per Article: 10.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/07/2022] [Accepted: 05/20/2022] [Indexed: 12/28/2022] Open
Abstract
Abstract
Background
Recent international health events have led to an increased proliferation of remotely delivered health interventions. Even with the pandemic seemingly coming under control, the experiences of the past year have fueled a growth in ideas and technology for increasing the scope of remote care delivery. Unfortunately, clinicians and health systems will have difficulty with the adoption and implementation of these interventions if ongoing and future clinical trials fail to report necessary details about execution, platforms, and infrastructure related to these interventions. The purpose was to develop guidance for reporting of telehealth interventions.
Methods
A working group from the US Pain Management Collaboratory developed guidance for complete reporting of telehealth interventions. The process went through 5-step process from conception to final checklist development with input for many stakeholders, to include all 11 primary investigators with trials in the Collaboratory.
Results
An extension focused on unique considerations relevant to telehealth interventions was developed for the Template for the Intervention Description and Replication (TIDieR) checklist.
Conclusion
The Telehealth Intervention guideline encourages use of the Template for the Intervention Description and Replication (TIDieR) checklist as a valuable tool (TIDieR-Telehealth) to improve the quality of research through a reporting guide of relevant interventions that will help maximize reproducibility and implementation.
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21
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Speich B, Gryaznov D, Busse JW, Gloy VL, Lohner S, Klatte K, Taji Heravi A, Ghosh N, Lee H, Mansouri A, Marian IR, Saccilotto R, Nury E, Kasenda B, Ojeda–Ruiz E, Schandelmaier S, Tomonaga Y, Amstutz A, Pauli–Magnus C, Bischoff K, Wollmann K, Rehner L, Meerpohl JJ, Nordmann A, Wong J, Chow N, Hong PJ, Mc Cord – De Iaco K, Sricharoenchai S, Agarwal A, Schwenkglenks M, Hemkens LG, von Elm E, Copsey B, Griessbach AN, Schönenberger C, Mertz D, Blümle A, von Niederhäusern B, Hopewell S, Odutayo A, Briel M. Nonregistration, discontinuation, and nonpublication of randomized trials: A repeated metaresearch analysis. PLoS Med 2022; 19:e1003980. [PMID: 35476675 PMCID: PMC9094518 DOI: 10.1371/journal.pmed.1003980] [Citation(s) in RCA: 14] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/07/2021] [Revised: 05/11/2022] [Accepted: 04/01/2022] [Indexed: 11/19/2022] Open
Abstract
BACKGROUND We previously found that 25% of 1,017 randomized clinical trials (RCTs) approved between 2000 and 2003 were discontinued prematurely, and 44% remained unpublished at a median of 12 years follow-up. We aimed to assess a decade later (1) whether rates of completion and publication have increased; (2) the extent to which nonpublished RCTs can be identified in trial registries; and (3) the association between reporting quality of protocols and premature discontinuation or nonpublication of RCTs. METHODS AND FINDINGS We included 326 RCT protocols approved in 2012 by research ethics committees in Switzerland, the United Kingdom, Germany, and Canada in this metaresearch study. Pilot, feasibility, and phase 1 studies were excluded. We extracted trial characteristics from each study protocol and systematically searched for corresponding trial registration (if not reported in the protocol) and full text publications until February 2022. For trial registrations, we searched the (i) World Health Organization: International Clinical Trial Registry Platform (ICTRP); (ii) US National Library of Medicine (ClinicalTrials.gov); (iii) European Union Drug Regulating Authorities Clinical Trials Database (EUCTR); (iv) ISRCTN registry; and (v) Google. For full text publications, we searched PubMed, Google Scholar, and Scopus. We recorded whether RCTs were registered, discontinued (including reason for discontinuation), and published. The reporting quality of RCT protocols was assessed with the 33-item SPIRIT checklist. We used multivariable logistic regression to examine the association between the independent variables protocol reporting quality, planned sample size, type of control (placebo versus other), reporting of any recruitment projection, single-center versus multicenter trials, and industry versus investigator sponsoring, with the 2 dependent variables: (1) publication of RCT results; and (2) trial discontinuation due to poor recruitment. Of the 326 included trials, 19 (6%) were unregistered. Ninety-eight trials (30%) were discontinued prematurely, most often due to poor recruitment (37%; 36/98). One in 5 trials (21%; 70/326) remained unpublished at 10 years follow-up, and 21% of unpublished trials (15/70) were unregistered. Twenty-three of 147 investigator-sponsored trials (16%) reported their results in a trial registry in contrast to 150 of 179 industry-sponsored trials (84%). The median proportion of reported SPIRIT items in included RCT protocols was 69% (interquartile range 61% to 77%). We found no variables associated with trial discontinuation; however, lower reporting quality of trial protocols was associated with nonpublication (odds ratio, 0.71 for each 10% increment in the proportion of SPIRIT items met; 95% confidence interval, 0.55 to 0.92; p = 0.009). Study limitations include that the moderate sample size may have limited the ability of our regression models to identify significant associations. CONCLUSIONS We have observed that rates of premature trial discontinuation have not changed in the past decade. Nonpublication of RCTs has declined but remains common; 21% of unpublished trials could not be identified in registries. Only 16% of investigator-sponsored trials reported results in a trial registry. Higher reporting quality of RCT protocols was associated with publication of results. Further efforts from all stakeholders are needed to improve efficiency and transparency of clinical research.
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Affiliation(s)
- Benjamin Speich
- Meta–Research Centre, Department of Clinical Research, University Hospital Basel, University of Basel, Basel, Switzerland
- Oxford Clinical Trials Research Unit / Centre for Statistics in Medicine, Nuffield Department of Orthopaedics, Rheumatology and Musculoskeletal Sciences, University of Oxford, Oxford, United Kingdom
- * E-mail:
| | - Dmitry Gryaznov
- Meta–Research Centre, Department of Clinical Research, University Hospital Basel, University of Basel, Basel, Switzerland
| | - Jason W. Busse
- Department of Health Research Methods, Evidence, and Impact, McMaster University, Hamilton, Canada
- Department of Anesthesia, McMaster University, Hamilton, Canada
| | - Viktoria L. Gloy
- Meta–Research Centre, Department of Clinical Research, University Hospital Basel, University of Basel, Basel, Switzerland
| | - Szimonetta Lohner
- Cochrane Hungary, Clinical Centre of the University of Pécs, Medical School, University of Pécs, Pécs, Hungary
- Department of Public Health Medicine, Medical School, University of Pécs, Pécs, Hungary
| | - Katharina Klatte
- Clinical Trial Unit, Department of Clinical Research, University of Basel and University Hospital Basel, Basel, Switzerland
| | - Ala Taji Heravi
- Meta–Research Centre, Department of Clinical Research, University Hospital Basel, University of Basel, Basel, Switzerland
- Swiss Tropical and Public Health Institute, Basel, Switzerland
| | - Nilabh Ghosh
- Meta–Research Centre, Department of Clinical Research, University Hospital Basel, University of Basel, Basel, Switzerland
| | - Hopin Lee
- Oxford Clinical Trials Research Unit / Centre for Statistics in Medicine, Nuffield Department of Orthopaedics, Rheumatology and Musculoskeletal Sciences, University of Oxford, Oxford, United Kingdom
| | - Anita Mansouri
- Oxford Clinical Trials Research Unit / Centre for Statistics in Medicine, Nuffield Department of Orthopaedics, Rheumatology and Musculoskeletal Sciences, University of Oxford, Oxford, United Kingdom
| | - Ioana R. Marian
- Oxford Clinical Trials Research Unit / Centre for Statistics in Medicine, Nuffield Department of Orthopaedics, Rheumatology and Musculoskeletal Sciences, University of Oxford, Oxford, United Kingdom
| | - Ramon Saccilotto
- Clinical Trial Unit, Department of Clinical Research, University of Basel and University Hospital Basel, Basel, Switzerland
| | - Edris Nury
- Institute for Evidence in Medicine (for Cochrane Germany Foundation), Faculty of Medicine and Medical Center, University of Freiburg, Freiburg, Germany
- Department of General Practice and Primary Care, Medical Center Hamburg–Eppendorf–UKE, Hamburg, Germany
| | - Benjamin Kasenda
- Department of Medical Oncology, University of Basel and University Hospital Basel, Basel, Switzerland
| | - Elena Ojeda–Ruiz
- Meta–Research Centre, Department of Clinical Research, University Hospital Basel, University of Basel, Basel, Switzerland
- Bioaraba Health Research Institute, Health Prevention, Promotion and Care Area; Osakidetza Basque Health Service, Araba University Hospital, Preventive Medicine Department, Vitoria–Gasteiz, Spain
| | - Stefan Schandelmaier
- Meta–Research Centre, Department of Clinical Research, University Hospital Basel, University of Basel, Basel, Switzerland
- Department of Health Research Methods, Evidence, and Impact, McMaster University, Hamilton, Canada
| | - Yuki Tomonaga
- Epidemiology, Biostatistics and Prevention Institute, University of Zurich, Zurich, Switzerland
| | - Alain Amstutz
- Meta–Research Centre, Department of Clinical Research, University Hospital Basel, University of Basel, Basel, Switzerland
- Swiss Tropical and Public Health Institute, Basel, Switzerland
- Department of Infectious Diseases and Hospital Epidemiology, University Hospital Basel, Basel, Switzerland
| | - Christiane Pauli–Magnus
- Clinical Trial Unit, Department of Clinical Research, University of Basel and University Hospital Basel, Basel, Switzerland
| | - Karin Bischoff
- Institute for Evidence in Medicine, Medical Center–University of Freiburg, Faculty of Medicine, University of Freiburg, Freiburg, Germany
- Cochrane Germany, Cochrane Germany Foundation, Freiburg, Germany
| | | | - Laura Rehner
- Institute for Evidence in Medicine, Medical Center–University of Freiburg, Faculty of Medicine, University of Freiburg, Freiburg, Germany
- Institute for Nursing Science and Interprofessional Learning, University Medicine Greifswald, Greifswald, Germany
| | - Joerg J. Meerpohl
- Institute for Evidence in Medicine, Medical Center–University of Freiburg, Faculty of Medicine, University of Freiburg, Freiburg, Germany
- Cochrane Germany, Cochrane Germany Foundation, Freiburg, Germany
| | - Alain Nordmann
- Meta–Research Centre, Department of Clinical Research, University Hospital Basel, University of Basel, Basel, Switzerland
| | - Jacqueline Wong
- Department of Health Research Methods, Evidence, and Impact, McMaster University, Hamilton, Canada
| | - Ngai Chow
- Department of Health Research Methods, Evidence, and Impact, McMaster University, Hamilton, Canada
| | - Patrick Jiho Hong
- Department of Health Research Methods, Evidence, and Impact, McMaster University, Hamilton, Canada
- Department of Anesthesiology and Pain Medicine, University of Toronto, Toronto, Canada
| | - Kimberly Mc Cord – De Iaco
- Meta–Research Centre, Department of Clinical Research, University Hospital Basel, University of Basel, Basel, Switzerland
- Multifactorial and Complex Diseases Research Area, Bambino Gesù Children’s Hospital IRCCS, Rome, Italy
| | - Sirintip Sricharoenchai
- Meta–Research Centre, Department of Clinical Research, University Hospital Basel, University of Basel, Basel, Switzerland
| | - Arnav Agarwal
- Department of Health Research Methods, Evidence, and Impact, McMaster University, Hamilton, Canada
- Division of General Internal Medicine, Department of Medicine, McMaster University, Hamilton, Ontario, Canada
| | - Matthias Schwenkglenks
- Epidemiology, Biostatistics and Prevention Institute, University of Zurich, Zurich, Switzerland
- Institute of Pharmaceutical Medicine (ECPM), University of Basel, Basel, Switzerland
| | - Lars G. Hemkens
- Meta–Research Centre, Department of Clinical Research, University Hospital Basel, University of Basel, Basel, Switzerland
- Meta–Research Innovation Center Berlin (METRICS–B), Berlin Institute of Health, Berlin, Germany
- Meta–Research Innovation Center at Stanford (METRICS), Stanford University, Stanford, California, United States of America
| | - Erik von Elm
- Cochrane Switzerland, Centre for Primary Care and Public Health (Unisanté), University of Lausanne, Lausanne, Switzerland
| | - Bethan Copsey
- Oxford Clinical Trials Research Unit / Centre for Statistics in Medicine, Nuffield Department of Orthopaedics, Rheumatology and Musculoskeletal Sciences, University of Oxford, Oxford, United Kingdom
| | - Alexandra N. Griessbach
- Meta–Research Centre, Department of Clinical Research, University Hospital Basel, University of Basel, Basel, Switzerland
| | - Christof Schönenberger
- Meta–Research Centre, Department of Clinical Research, University Hospital Basel, University of Basel, Basel, Switzerland
| | - Dominik Mertz
- Department of Health Research Methods, Evidence, and Impact, McMaster University, Hamilton, Canada
- Department of Medicine, McMaster University, Hamilton, Canada
| | - Anette Blümle
- Swiss Tropical and Public Health Institute, Basel, Switzerland
- Clinical Trials Unit, Faculty of Medicine and Medical Center, University of Freiburg, Freiburg, Germany
| | - Belinda von Niederhäusern
- Department of Public Health Medicine, Medical School, University of Pécs, Pécs, Hungary
- Roche Pharma AG, Grenzach–Wyhlen, Germany
| | - Sally Hopewell
- Oxford Clinical Trials Research Unit / Centre for Statistics in Medicine, Nuffield Department of Orthopaedics, Rheumatology and Musculoskeletal Sciences, University of Oxford, Oxford, United Kingdom
| | - Ayodele Odutayo
- Oxford Clinical Trials Research Unit / Centre for Statistics in Medicine, Nuffield Department of Orthopaedics, Rheumatology and Musculoskeletal Sciences, University of Oxford, Oxford, United Kingdom
- Applied Health Research Centre, Li Ka Shing Knowledge Institute of St Michael’s Hospital, Toronto, Ontario, Canada
| | - Matthias Briel
- Meta–Research Centre, Department of Clinical Research, University Hospital Basel, University of Basel, Basel, Switzerland
- Department of Health Research Methods, Evidence, and Impact, McMaster University, Hamilton, Canada
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Emary PC, Stuber KJ, Mbuagbaw L, Oremus M, Nolet PS, Nash JV, Bauman CA, Ciraco C, Couban RJ, Busse JW. Risk of bias in chiropractic mixed methods research: a secondary analysis of a meta-epidemiological review. THE JOURNAL OF THE CANADIAN CHIROPRACTIC ASSOCIATION 2022; 66:7-20. [PMID: 35655699 PMCID: PMC9103633] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Subscribe] [Scholar Register] [Indexed: 06/15/2023]
Abstract
OBJECTIVE To examine the risk of bias in chiropractic mixed methods research. METHODS We performed a secondary analysis of a meta-epidemiological review of chiropractic mixed methods studies. We assessed risk of bias with the Mixed Methods Appraisal Tool (MMAT) and used generalized estimating equations to explore factors associated with risk of bias. RESULTS Among 55 eligible studies, a mean of 62% (6.8 [2.3]/11) of MMAT items were fulfilled. In our adjusted analysis, studies published since 2010 versus pre-2010 (adjusted odds ratio [aOR] = 2.26; 95% confidence interval [CI], 1.39 to 3.68) and those published in journals with an impact factor versus no impact factor (aOR = 2.21; 95% CI, 1.33 to 3.68) were associated with lower risk of bias. CONCLUSION Our findings suggest opportunities for improvement in the quality of conduct among published chiropractic mixed methods studies. Author compliance with the MMAT criteria may reduce methodological bias in future mixed methods research.
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Affiliation(s)
- Peter C. Emary
- Department of Health Research Methods, Evidence and Impact, McMaster University
- Chiropractic Department, D’Youville University
- Private Practice
| | - Kent J. Stuber
- Department of Graduate Education and Research, Canadian Memorial Chiropractic College
| | - Lawrence Mbuagbaw
- Department of Health Research Methods, Evidence and Impact, McMaster University
- Biostatistics Unit, Father Sean O’Sullivan Research Centre, St. Joseph’s Healthcare-Hamilton
- Centre for the Development of Best Practices in Health, Yaundé, Cameroon
- Division of Global Health, Stellenbosch University, South Africa
| | - Mark Oremus
- Department of Health Research Methods, Evidence and Impact, McMaster University
- School of Public Health Sciences, University of Waterloo
| | - Paul S. Nolet
- Department of Graduate Education and Research, Canadian Memorial Chiropractic College
- Care and Public Health Research Institute, Maastricht University, Maastricht, Netherlands
| | | | - Craig A. Bauman
- Department of Family Medicine, McMaster University
- The Centre for Family Medicine Family Health Team, Kitchener, Ontario
| | | | - Rachel J. Couban
- Michael G. DeGroote National Pain Centre, McMaster University, Hamilton, Ontario, Canada
| | - Jason W. Busse
- Department of Health Research Methods, Evidence and Impact, McMaster University
- Department of Anesthesia, McMaster University
- Michael G. DeGroote National Pain Centre, McMaster University, Hamilton, Ontario, Canada
- Chronic Pain Centre of Excellence for Canadian Veterans, Hamilton, Ontario, Canada
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23
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Bandholm T, Thorborg K, Ardern CL, Christensen R, Henriksen M. Writing up your clinical trial report for a scientific journal: the REPORT trial guide for effective and transparent research reporting without spin. Br J Sports Med 2022; 56:683-691. [PMID: 35193854 PMCID: PMC9163716 DOI: 10.1136/bjsports-2021-105058] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 01/27/2022] [Indexed: 12/05/2022]
Abstract
The REPORT guide is a ‘How to’ guide to help you report your clinical research in an effective and transparent way. It is intended to supplement established first choice reporting tools, such as Consolidated Standards of Reporting Trials (CONSORT), by adding tacit knowledge (ie, learnt, informal or implicit knowledge) about reporting topics that we have struggled with as authors or see others struggle with as journal reviewers or editors. We focus on the randomised controlled trial, but the guide also applies to other study designs. Topics included in the REPORT guide cover reporting checklists, trial report structure, choice of title, writing style, trial registry and reporting consistency, spin or reporting bias, transparent data presentation (figures), open access considerations, data sharing and more. Preprint (open access): https://doi.org/10.31219/osf.io/qsxdz.
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Affiliation(s)
- Thomas Bandholm
- Department of Clinical Research, Copenhagen University Hospital, Amager and Hvidovre, Copenhagen, Denmark .,Department of Occupational and Physical Therapy, Physical Medicine & Rehabilitation Research - Copenhagen (PMR-C), Copenhagen University Hospital, Amager and Hvidovre, Copenhagen, Denmark.,Department of Orthopaedic Surgery, Copenhagen University Hospital, Amager and Hvidovre, Copenhagen, Denmark.,Department of Clinical Medicine, University of Copenhagen, Copenhagen, Denmark
| | - Kristian Thorborg
- Department of Occupational and Physical Therapy, Physical Medicine & Rehabilitation Research - Copenhagen (PMR-C), Copenhagen University Hospital, Amager and Hvidovre, Copenhagen, Denmark.,Department of Clinical Medicine, University of Copenhagen, Copenhagen, Denmark.,Department of Orthopaedic Surgery, Sports Orthopedic Research Center - Copenhagen (SORC-C), Amager-Hvidovre Hospital, Faculty of Health Sciences, Copenhagen University, Copenhagen, Denmark
| | - Clare L Ardern
- Musculoskeletal & Sports Injury Epidemiology Centre, Department of Health Promotion Science, Sophiahemmet University, Stockholm, Sweden.,Sport and Exercise Medicine Research Centre, La Trobe University, Melbourne, Victoria, Australia.,Department of Family Practice, University of British Columbia, Vancouver, British Columbia, Canada
| | - Robin Christensen
- The Parker Institute, Section for Biostatistics and Evidence-Based Research, Copenhagen University Hospital Bispebjerg Frederiksberg, Copenhagen, Denmark.,Department of Clinical Research, Research Unit of Rheumatology, University of Southern Denmark, Odense University Hospital, Odense, Denmark
| | - Marius Henriksen
- The Parker Institute, Section for Biostatistics and Evidence-Based Research, Copenhagen University Hospital Bispebjerg Frederiksberg, Copenhagen, Denmark
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24
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The completeness of reporting is suboptimal in randomized controlled trials published in rehabilitation journals, with trials with low risk of bias displaying better reporting: a meta-research study. Arch Phys Med Rehabil 2022; 103:1839-1847. [DOI: 10.1016/j.apmr.2022.01.156] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/07/2021] [Revised: 01/22/2022] [Accepted: 01/25/2022] [Indexed: 11/21/2022]
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25
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Liu M, Wang W, Wang M, He Q, Li L, Li G, He L, Zou K, Sun X. Reporting of abstracts in studies that used routinely collected data for exploring drug treatment effects: a cross-sectional survey. BMC Med Res Methodol 2022; 22:6. [PMID: 34996370 PMCID: PMC8742367 DOI: 10.1186/s12874-021-01482-9] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/12/2021] [Accepted: 11/29/2021] [Indexed: 02/08/2023] Open
Abstract
Background In recent years, studies that used routinely collected data (RCD), such as electronic medical records and administrative claims, for exploring drug treatment effects, including effectiveness and safety, have been increasingly published. Abstracts of such studies represent a highly attended source for busy clinicians or policy-makers, and are important for indexing by literature database. If less clearly presented, they may mislead decisions or indexing. We thus conducted a cross-sectional survey to systematically examine how the abstracts of such studies were reported. Methods We searched PubMed to identify all observational studies published in 2018 that used RCD for assessing drug treatment effects. Teams of methods-trained collected data from eligible studies using pilot-tested, standardized forms that were developed and expanded from “The reporting of studies conducted using observational routinely collected health data statement for pharmacoepidemiology” (RECORD-PE) statement. We used descriptive analyses to examine how authors reported data source, study design, data analysis, and interpretation of findings. Results A total of 222 studies were included, of which 118 (53.2%) reported type of database used, 17 (7.7%) clearly reported database linkage, and 140 (63.1%) reported coverage of data source. Only 44 (19.8%) studies stated a predefined hypothesis, 127 (57.2%) reported study design, 140 (63.1%) reported statistical models used, 142 (77.6%) reported adjusted estimates, 33 (14.9%) mentioned sensitivity analyses, and 39 (17.6%) made a strong claim about treatment effect. Studies published in top 5 general medicine journals were more likely to report the name of data source (94.7% vs. 67.0%) and study design (100% vs. 53.2%) than those in other journals. Conclusions The under-reporting of key methodological features in abstracts of RCD studies was common, which would substantially compromise the indexing of this type of literature and prevent the effective use of study findings. Substantial efforts to improve the reporting of abstracts in these studies are highly warranted. Supplementary Information The online version contains supplementary material available at 10.1186/s12874-021-01482-9.
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Affiliation(s)
- Mei Liu
- Chinese Evidence-based Medicine Center and Cochrane China Center, National Clinical Research Center for Geriatrics, West China Hospital, Sichuan University, Chengdu, 610041, Sichuan, China.,NMPA Key Laboratory for Real World Data Research and Evaluation in Hainan, Chengdu, China.,Sichuan Center of Technology Innovation for Real World Data, Chengdu, China
| | - Wen Wang
- Chinese Evidence-based Medicine Center and Cochrane China Center, National Clinical Research Center for Geriatrics, West China Hospital, Sichuan University, Chengdu, 610041, Sichuan, China.,NMPA Key Laboratory for Real World Data Research and Evaluation in Hainan, Chengdu, China.,Sichuan Center of Technology Innovation for Real World Data, Chengdu, China
| | - Mingqi Wang
- Chinese Evidence-based Medicine Center and Cochrane China Center, National Clinical Research Center for Geriatrics, West China Hospital, Sichuan University, Chengdu, 610041, Sichuan, China.,NMPA Key Laboratory for Real World Data Research and Evaluation in Hainan, Chengdu, China.,Sichuan Center of Technology Innovation for Real World Data, Chengdu, China
| | - Qiao He
- Chinese Evidence-based Medicine Center and Cochrane China Center, National Clinical Research Center for Geriatrics, West China Hospital, Sichuan University, Chengdu, 610041, Sichuan, China.,NMPA Key Laboratory for Real World Data Research and Evaluation in Hainan, Chengdu, China.,Sichuan Center of Technology Innovation for Real World Data, Chengdu, China
| | - Ling Li
- Chinese Evidence-based Medicine Center and Cochrane China Center, National Clinical Research Center for Geriatrics, West China Hospital, Sichuan University, Chengdu, 610041, Sichuan, China.,NMPA Key Laboratory for Real World Data Research and Evaluation in Hainan, Chengdu, China.,Sichuan Center of Technology Innovation for Real World Data, Chengdu, China
| | - Guowei Li
- Department of Health Research Methods, Evidence and Impact, McMaster University, Hamilton, ON, L8S 4L8, Canada.,Center for Clinical Epidemiology and Methodology, Guangdong Second Provincial General Hospital, Guangzhou, 510317, Guangdong, China.,Biostatistics Unit, Research Institute at St. Joseph's Healthcare Hamilton, Hamilton, ON, L8N 4A6, Canada
| | - Lin He
- Intelligence Library Center, West China Hospital, Sichuan University, Chengdu, 610041, Sichuan, China
| | - Kang Zou
- Chinese Evidence-based Medicine Center and Cochrane China Center, National Clinical Research Center for Geriatrics, West China Hospital, Sichuan University, Chengdu, 610041, Sichuan, China.,NMPA Key Laboratory for Real World Data Research and Evaluation in Hainan, Chengdu, China.,Sichuan Center of Technology Innovation for Real World Data, Chengdu, China
| | - Xin Sun
- Chinese Evidence-based Medicine Center and Cochrane China Center, National Clinical Research Center for Geriatrics, West China Hospital, Sichuan University, Chengdu, 610041, Sichuan, China. .,NMPA Key Laboratory for Real World Data Research and Evaluation in Hainan, Chengdu, China. .,Sichuan Center of Technology Innovation for Real World Data, Chengdu, China.
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Storman D, Koperny M, Zając J, Polak M, Weglarz P, Bochenek-Cibor J, Swierz MJ, Staskiewicz W, Gorecka M, Skuza A, Wach AA, Kaluzinska K, Bała MM. Predictors of Higher Quality of Systematic Reviews Addressing Nutrition and Cancer Prevention. INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH 2022; 19:ijerph19010506. [PMID: 35010766 PMCID: PMC8744691 DOI: 10.3390/ijerph19010506] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Subscribe] [Scholar Register] [Received: 10/18/2021] [Revised: 12/15/2021] [Accepted: 12/26/2021] [Indexed: 02/04/2023]
Abstract
Systematic reviews/meta-analyses (SR/MAs) are considered a reliable source of information in healthcare. We aimed to explore the association of several characteristics of SR/MAs addressing nutrition in cancer prevention and their quality/risk of bias (using assessments from AMSTAR-2 and ROBIS tools). The analysis included 101 SR/MAs identified in a systematic survey. Associations of each specified characteristic (e.g., information about the protocol, publication year, reported use of GRADE, or other methods for assessing overall certainty of evidence) with the number of AMSTAR-2 not met (‘No’ responses) and the number of ROBIS items met (‘Probably Yes’ or “Yes’ responses) were examined. Poisson regression was used to identify predictors of the number of ‘No’ answers (indicating lower quality) for all AMSTAR-2 items and the number of ‘Yes’ or ‘Probably Yes’ answers (indicating higher quality/lower concern for bias) for all ROBIS items. Logistic regression was used to identify variables associated with at least one domain assessed as ‘low concern for bias’ in the ROBIS tool. In multivariable analysis, SR/MAs not reporting use of any quality/risk of bias assessment instrument for primary studies were associated with a higher number of ‘No’ answers for all AMSTAR-2 items (incidence rate ratio (IRR) 1.26, 95% confidence interval (CI) 1.09–1.45), and a lower number of ‘Yes’ or ‘Probably Yes’ answers for all ROBIS items (IRR 0.76, 95% CI 0.66–0.87). Providing information about the protocol and search for unpublished studies was associated with a lower number of ‘No’ answers (IRR 0.73, 95% CI 0.56–0.97 and IRR 0.75, 95% CI 0.59–0.95, respectively) and a higher number of ‘Yes’ or ‘Probably Yes’ answers (IRR 1.43, 95% CI 1.17–1.74 and IRR 1.28, 95% CI 1.07–1.52, respectively). Not using at least one quality/risk of bias assessment tool for primary studies within an SR/MA was associated with lower odds that a study would be assessed as ‘low concern for bias’ in at least one ROBIS domain (odds ratio 0.061, 95% CI 0.007–0.527). Adherence to methodological standards in the development of SR/MAs was associated with a higher overall quality of SR/MAs addressing nutrition for cancer prevention.
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Affiliation(s)
- Dawid Storman
- Chair of Epidemiology and Preventive Medicine, Department of Hygiene and Dietetics, Jagiellonian University Medical College, 31-034 Krakow, Poland; (D.S.); (J.Z.); (P.W.); (M.J.S.)
| | - Magdalena Koperny
- Chair of Epidemiology and Preventive Medicine, Department of Epidemiology, Jagiellonian University Medical College, 31-034 Krakow, Poland;
| | - Joanna Zając
- Chair of Epidemiology and Preventive Medicine, Department of Hygiene and Dietetics, Jagiellonian University Medical College, 31-034 Krakow, Poland; (D.S.); (J.Z.); (P.W.); (M.J.S.)
| | - Maciej Polak
- Department of Epidemiology and Population Studies, Institute of Public Health, Faculty of Health Sciences, Jagiellonian University Medical College, 31-034 Krakow, Poland;
| | - Paulina Weglarz
- Chair of Epidemiology and Preventive Medicine, Department of Hygiene and Dietetics, Jagiellonian University Medical College, 31-034 Krakow, Poland; (D.S.); (J.Z.); (P.W.); (M.J.S.)
| | | | - Mateusz J. Swierz
- Chair of Epidemiology and Preventive Medicine, Department of Hygiene and Dietetics, Jagiellonian University Medical College, 31-034 Krakow, Poland; (D.S.); (J.Z.); (P.W.); (M.J.S.)
| | - Wojciech Staskiewicz
- Students’ Scientific Research Group of Systematic Reviews, Jagiellonian University Medical College, 31-034 Krakow, Poland; (W.S.); (M.G.); (A.S.); (A.A.W.); (K.K.)
| | - Magdalena Gorecka
- Students’ Scientific Research Group of Systematic Reviews, Jagiellonian University Medical College, 31-034 Krakow, Poland; (W.S.); (M.G.); (A.S.); (A.A.W.); (K.K.)
| | - Anna Skuza
- Students’ Scientific Research Group of Systematic Reviews, Jagiellonian University Medical College, 31-034 Krakow, Poland; (W.S.); (M.G.); (A.S.); (A.A.W.); (K.K.)
| | - Adam A. Wach
- Students’ Scientific Research Group of Systematic Reviews, Jagiellonian University Medical College, 31-034 Krakow, Poland; (W.S.); (M.G.); (A.S.); (A.A.W.); (K.K.)
| | - Klaudia Kaluzinska
- Students’ Scientific Research Group of Systematic Reviews, Jagiellonian University Medical College, 31-034 Krakow, Poland; (W.S.); (M.G.); (A.S.); (A.A.W.); (K.K.)
| | - Małgorzata M. Bała
- Chair of Epidemiology and Preventive Medicine, Department of Hygiene and Dietetics, Jagiellonian University Medical College, 31-034 Krakow, Poland; (D.S.); (J.Z.); (P.W.); (M.J.S.)
- Correspondence:
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Bothra M, Motiani P, Ahmad Z. Evaluation of quality of abstracts of randomized controlled trials on procedural sedation in children after publication of CONSORT guidelines for abstracts: A systematic review. J Anaesthesiol Clin Pharmacol 2022; 38:384-390. [PMID: 36505205 PMCID: PMC9728429 DOI: 10.4103/joacp.joacp_514_20] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/21/2020] [Revised: 10/14/2020] [Accepted: 12/02/2020] [Indexed: 11/05/2022] Open
Abstract
The extension of the Consolidated Standards of Reporting Trials (CONSORT) statement provides guidelines for abstracts of randomized controlled trials (RCTs). This study was done to assess the reporting quality of abstracts of RCTs, on procedural sedation in children and identify factors associated with better quality. A PubMed search was conducted from inception of database till July 2017 to identify RCTs on procedural sedation in children. Search terms used were (procedural [All Fields] AND sedation [All Fields]) AND ("child" [MeSH Terms] OR "child" [All Fields] OR "children" [All Fields]) were included in the analysis, while primary RCTs, published in the English language unstructured abstracts, secondary analysis of primary RCTs and studies not exclusively on children we excluded. Our search strategy initially yielded 582 abstracts. Out of these, 535 abstracts were excluded. 47 articles were included in the final analysis. We extracted basic information and data on CONSORT items from abstracts. Each abstract was assessed using a 16-item composite abstract score (CAS) based on the CONSORT guidelines. This abstract quality was further explored by Method Score and by Result Score. Regression analysis was conducted to analyze factors associated with reporting quality. In majority of the abstracts, only objectives and conclusion were adequately reported. Inadequately reported items in >90% of abstracts included randomization, trial status, registration & funding. There was no significant difference in the CAS of abstracts (mean ± SD) published in & before 2008 (12.63 ± 4.0), to those published after 2009 (12.48 ± 4.23). Similarly, there was no significant difference in Result Score and Method Score of the abstracts. After the publication of 'CONSORT for abstracts' guideline, the quality of abstracts of RCTs on procedural sedation has shown suboptimal improvement. We suggest stricter adherence to guidelines by editors and reviewers. A checklist for adherence to CONSORT guidelines could be introduced during submission for the same.
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Affiliation(s)
- Meenakshi Bothra
- Department of Pediatrics, Maulana Azad Medical College, Delhi, India
| | - Poonam Motiani
- Department of Pediatric Trauma & Anesthesiology, Super Specialty Pediatric Hospital and Postgraduate Teaching Institute, Noida, Uttar Pradesh, India
| | - Zainab Ahmad
- Department of Anesthesiology, AIIMS, Bhopal, Madhya Pradesh, India,Address for correspondence: Dr. Zainab Ahmad, Department of Anesthesiology, AIIMS, Bhopal , Madhya Pradesh, India. E-mail:
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28
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Bhatt A. Clinical trials and Consolidated Standards of Reporting Trials: Continuing concerns of compliance in COVID-19 era. Perspect Clin Res 2022; 13:1-2. [PMID: 35198421 PMCID: PMC8815672 DOI: 10.4103/picr.picr_259_21] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/03/2021] [Accepted: 12/07/2021] [Indexed: 11/06/2022] Open
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Golden TL, Magsamen S, Sandu CC, Lin S, Roebuck GM, Shi KM, Barrett FS. Effects of Setting on Psychedelic Experiences, Therapies, and Outcomes: A Rapid Scoping Review of the Literature. Curr Top Behav Neurosci 2022; 56:35-70. [PMID: 35138585 DOI: 10.1007/7854_2021_298] [Citation(s) in RCA: 16] [Impact Index Per Article: 8.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 06/14/2023]
Abstract
The health and well-being impacts of art and aesthetic experiences have been rigorously studied by a range of disciplines, including cognitive neuroscience, psychiatry, public health, and translational clinical research. These experiences, encompassed in the concepts of set and setting, have long been claimed to be pivotal in determining the acute and enduring effects of psychedelic experiences. Responding to the field's longstanding emphasis on the role and value of setting, a rapid scoping review was undertaken to identify the extent to which effects of setting and aesthetics on psychedelic experiences and therapies have been explicitly studied. It offers an analysis of the strengths and limitations of the extant literature and discusses evidentiary gaps as well as evidentiary opportunities for the field. The 43 included studies indicate apparent consensus regarding the importance of setting in psychedelic therapies, as well as consistent interest in theorizing about these effects. However, this consensus has yet to generate consistent, prospective, rigorous tests of setting and its complexities. As a result, the field continues to lack understanding or agreement regarding the effects of various specific elements of setting, the mechanisms by which they affect outcomes, for whom these effects occur, under what circumstances, given what conditions, and other critical factors. Further studies of setting and aesthetics in the context of psychedelic therapies are likely to not only improve these therapies and their delivery, but also inform considerations of setting and aesthetics for non-psychedelic interventions.
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Affiliation(s)
- Tasha L Golden
- International Arts + Mind Lab, Center for Applied Neuroaesthetics, Johns Hopkins University School of Medicine, Baltimore, MD, USA.
| | - Susan Magsamen
- International Arts + Mind Lab, Center for Applied Neuroaesthetics, Johns Hopkins University School of Medicine, Baltimore, MD, USA
| | - Clara C Sandu
- International Arts + Mind Lab, Center for Applied Neuroaesthetics, Johns Hopkins University School of Medicine, Baltimore, MD, USA
| | - Shuyang Lin
- International Arts + Mind Lab, Center for Applied Neuroaesthetics, Johns Hopkins University School of Medicine, Baltimore, MD, USA
| | - Grace Marie Roebuck
- International Arts + Mind Lab, Center for Applied Neuroaesthetics, Johns Hopkins University School of Medicine, Baltimore, MD, USA
| | - Kathy M Shi
- Department of Psychiatry and Behavioral Sciences, Center for Psychedelic and Consciousness Research, Johns Hopkins University School of Medicine, Baltimore, MD, USA
| | - Frederick S Barrett
- Department of Psychiatry and Behavioral Sciences, Center for Psychedelic and Consciousness Research, Johns Hopkins University School of Medicine, Baltimore, MD, USA.
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31
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Zajac JF, Storman D, Swierz MJ, Koperny M, Weglarz P, Staskiewicz W, Gorecka M, Skuza A, Wach A, Kaluzinska K, Bochenek-Cibor J, Johnston BC, Bala MM. Are systematic reviews addressing nutrition for cancer prevention trustworthy? A systematic survey of quality and risk of bias. Nutr Rev 2021; 80:1558-1567. [PMID: 34921318 PMCID: PMC9086792 DOI: 10.1093/nutrit/nuab093] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/16/2022] Open
Abstract
Context The last 30 years have yielded a vast number of systematic reviews and/or meta-analyses addressing the link between nutrition and cancer risk. Objective The aim of this survey was to assess overall quality and potential for risk of bias in systematic reviews and meta-analyses (SRMAs) that examined the role of nutrition in cancer prevention. Data Sources MEDLINE, Embase, and the Cochrane Library databases were searched (last search performed November 2018). Study Selection Studies identified as SRMAs that investigated a nutritional or dietary intervention or exposure for cancer prevention in the general population or in people at risk of cancer and in which primary studies had a comparison group were eligible for inclusion. Screening, data extraction, and quality assessment were conducted independently by 2 reviewers. Data Extraction Altogether, 101 studies were randomly selected for analysis. The methodological quality and risk of bias were evaluated using the AMSTAR-2 and ROBIS tools, respectively. Results Most SRMAs included observational studies. Less than 10% of SRMAs reported a study protocol, and only 51% of SRMAs assessed the risk of bias in primary studies. Most studies conducted subgroup analyses, but only a few reported tests of interaction or specified subgroups of interest a priori. Overall, according to AMSTAR-2, only 1% of SRMAs were of high quality, while 97% were of critically low quality. Only 3% had a low risk of bias, according to ROBIS. Conclusions This systematic survey revealed substantial limitations with respect to quality and risk of bias of SRMAs. SRMAs examining nutrition and cancer prevention cannot be considered trustworthy, and results should be interpreted with caution. Peer reviewers as well as users of SRMAs should be advised to use the AMSTAR-2 and/or ROBIS instruments to help to determine the overall quality and risk of bias of SRMAs. Systematic Review Registration PROSPERO registration number CRD42019121116.
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Affiliation(s)
- Joanna F Zajac
- Chair of Epidemiology and Preventive Medicine, Department of Hygiene and Dietetics, Jagiellonian University Medical College, Krakow, Poland
| | - Dawid Storman
- Chair of Epidemiology and Preventive Medicine, Department of Hygiene and Dietetics, Jagiellonian University Medical College, Krakow, Poland
| | - Mateusz J Swierz
- Chair of Epidemiology and Preventive Medicine, Department of Hygiene and Dietetics, Jagiellonian University Medical College, Krakow, Poland
| | - Magdalena Koperny
- Chair of Epidemiology and Preventive Medicine, Department of Epidemiology, Jagiellonian University Medical College, Krakow, Poland
| | - Paulina Weglarz
- Chair of Epidemiology and Preventive Medicine, Department of Hygiene and Dietetics, Jagiellonian University Medical College, Krakow, Poland
| | - Wojciech Staskiewicz
- Students' Scientific Group of Systematic Reviews, Jagiellonian University Medical College, Krakow, Poland
| | - Magdalena Gorecka
- Students' Scientific Group of Systematic Reviews, Jagiellonian University Medical College, Krakow, Poland
| | - Anna Skuza
- Students' Scientific Group of Systematic Reviews, Jagiellonian University Medical College, Krakow, Poland
| | - Adam Wach
- Students' Scientific Group of Systematic Reviews, Jagiellonian University Medical College, Krakow, Poland
| | - Klaudia Kaluzinska
- Students' Scientific Group of Systematic Reviews, Jagiellonian University Medical College, Krakow, Poland
| | | | - Bradley C Johnston
- Department of Nutrition and the Department of Epidemiology and Biostatistics, Texas A&M University, College Station, Texas, USA; and with the Department of Health Research Methods, Evidence, and Impact, McMaster University, Hamilton, Ontario, Canada
| | - Malgorzata M Bala
- Chair of Epidemiology and Preventive Medicine, Department of Hygiene and Dietetics, Jagiellonian University Medical College, Krakow, Poland
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Hassoun-Kheir N, Stabholz Y, Kreft JU, de la Cruz R, Dechesne A, Smets BF, Romalde JL, Lema A, Balboa S, García-Riestra C, Torres-Sangiao E, Neuberger A, Graham D, Quintela-Baluja M, Stekel DJ, Graham J, Pruden A, Nesme J, Sørensen SJ, Hough R, Paul M. EMBRACE-WATERS statement: Recommendations for reporting of studies on antimicrobial resistance in wastewater and related aquatic environments. One Health 2021; 13:100339. [PMID: 34746357 PMCID: PMC8554267 DOI: 10.1016/j.onehlt.2021.100339] [Citation(s) in RCA: 10] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/26/2020] [Revised: 10/17/2021] [Accepted: 10/17/2021] [Indexed: 11/18/2022] Open
Abstract
BACKGROUND A One Health approach requires integrative research to elucidate antimicrobial resistance (AMR) in the environment and the risks it poses to human health. Research on this topic involves experts from diverse backgrounds and professions. Shortcomings exist in terms of consistent, complete, and transparent reporting in many environmental studies. Standardized reporting will improve the quality of scientific papers, enable meta-analyses and enhance the communication among different experts. In this study, we aimed to generate a consensus of reporting standards for AMR research in wastewater and related aquatic environments. METHODS Based on a risk of bias assessment of the literature in a systematic review, we proposed a set of study quality indicators. We then used a multistep modified Delphi consensus to develop the EMBRACE-WATERS statement (rEporting antiMicroBial ResistAnCE in WATERS), a checklist of recommendations for reporting in studies of AMR in wastewater and related aquatic environments. FINDINGS Consensus was achieved among a multidisciplinary panel of twenty-one experts in three steps. The developed EMBRACE-WATERS statement incorporates 21 items. Each item contains essential elements of high-quality reporting and is followed by an explanation of their rationale and a reporting-example. The EMBRACE-WATERS statement is primarily intended to be used by investigators to ensure transparent and comprehensive reporting of their studies. It can also guide peer-reviewers and editors in evaluation of manuscripts on AMR in the aquatic environment. This statement is not intended to be used to guide investigators on the methodology of their research. INTERPRETATION We are hopeful that this statement will improve the reporting quality of future studies of AMR in wastewater and related aquatic environments. Its uptake would generate a common language to be used among researchers from different disciplines, thus advancing the One Health approach towards understanding AMR spread across aquatic environments. Similar initiatives are needed in other areas of One Health research.
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Affiliation(s)
- Nasreen Hassoun-Kheir
- Infectious Diseases Institute, Rambam Health Care Campus, HaAliya HaShniya St 8, Haifa 3109601, Israel
- The Ruth and Bruce Rappaport Faculty of Medicine, Technion – Israel Institute of Technology, Efron St 1, Haifa 3109601, Israel
| | - Yoav Stabholz
- Infectious Diseases Institute, Rambam Health Care Campus, HaAliya HaShniya St 8, Haifa 3109601, Israel
| | - Jan-Ulrich Kreft
- School of Biosciences, Institute of Microbiology and Infection (IMI), Centre for Computational Biology (CCB), University of Birmingham, Birmingham, UK
| | - Roberto de la Cruz
- School of Biosciences, Institute of Microbiology and Infection (IMI), Centre for Computational Biology (CCB), University of Birmingham, Birmingham, UK
| | - Arnaud Dechesne
- Technical University of Denmark, Department of Environmental Engineering, bygning 115, Bygningstorvet, 2800 Kongens Lyngby, Denmark
| | - Barth F. Smets
- Technical University of Denmark, Department of Environmental Engineering, bygning 115, Bygningstorvet, 2800 Kongens Lyngby, Denmark
| | - Jesús L. Romalde
- Department of Microbiology and Parasitology, CIBUS-Faculty of Biology, Universidade de Santiago de Compostela, Santiago de Compostela 15782, Spain
- CRETUS, Universidade de Santiago de Compostela, Santiago de Compostela 15782, Spain
| | - Alberto Lema
- Department of Microbiology and Parasitology, CIBUS-Faculty of Biology, Universidade de Santiago de Compostela, Santiago de Compostela 15782, Spain
| | - Sabela Balboa
- CRETUS, Universidade de Santiago de Compostela, Santiago de Compostela 15782, Spain
| | - Carlos García-Riestra
- Department of Microbiology and Parasitology, University Hospital Complex of Santiago (CHUS), Spain
| | - Eva Torres-Sangiao
- Escherichia coli Group, Research Foundation Institute (FIDIS), University Hospital Complex (CHUS), Santiago de Compostela, ES, Spain
| | - Ami Neuberger
- Infectious Diseases Institute, Rambam Health Care Campus, HaAliya HaShniya St 8, Haifa 3109601, Israel
- The Ruth and Bruce Rappaport Faculty of Medicine, Technion – Israel Institute of Technology, Efron St 1, Haifa 3109601, Israel
| | - David Graham
- School of Engineering, Newcastle University, Newcastle upon Tyne, UK
| | | | - Dov J. Stekel
- School of Biosciences, University of Nottingham, Sutton Bonington Campus, College Road, Loughborough LE12 5RD, UK
| | - Jay Graham
- University of California, Berkeley School of Public Health, Berkeley, CA, USA
| | - Amy Pruden
- The Charles Edward Via, Jr. Department of Civil and Environmental Engineering, Virginia Tech, Blacksburg, VA, USA
| | - Joseph Nesme
- Section of Microbiology, Department of Biology, Faculty of Science, University of Copenhagen, 2100 Copenhagen, Denmark
| | - Søren Johannes Sørensen
- Section of Microbiology, Department of Biology, Faculty of Science, University of Copenhagen, 2100 Copenhagen, Denmark
| | - Rupert Hough
- Information and Computational Sciences, The James Hutton Institute, Aberdeen AB15 8QH, Scotland, UK
| | - Mical Paul
- Infectious Diseases Institute, Rambam Health Care Campus, HaAliya HaShniya St 8, Haifa 3109601, Israel
- The Ruth and Bruce Rappaport Faculty of Medicine, Technion – Israel Institute of Technology, Efron St 1, Haifa 3109601, Israel
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Speich B, Gloy VL, Klatte K, Gryaznov D, Taji Heravi A, Ghosh N, Marian IR, Lee H, Mansouri A, Lohner S, Saccilotto R, Nury E, Chan AW, Blümle A, Odutayo A, Hopewell S, Briel M. Reliability of Trial Information Across Registries for Trials With Multiple Registrations: A Systematic Review. JAMA Netw Open 2021; 4:e2128898. [PMID: 34724557 PMCID: PMC8561329 DOI: 10.1001/jamanetworkopen.2021.28898] [Citation(s) in RCA: 9] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/14/2022] Open
Abstract
IMPORTANCE Clinical trial registries are important for gaining an overview of ongoing research efforts and for deterring and identifying publication bias and selective outcome reporting. The reliability of the information in trial registries is uncertain. OBJECTIVE To assess the reliability of information across registries for trials with multiple registrations. EVIDENCE REVIEW For this systematic review, 360 protocols of randomized clinical trials (RCTs) approved by research ethics committees in Switzerland, the UK, Canada, and Germany in 2012 were evaluated. Clinical trial registries were searched from March to September 2019 for corresponding registrations of these RCTs. For RCTS that were recorded in more than 1 clinical trial registry, key trial characteristics that should be identical among all trial registries (ie, sponsor, funding source, primary outcome, target sample size, trial status, date of first patient enrollment, results available, and main publication indexed) were extracted in duplicate. Agreement between the different trial registries for these key characteristics was analyzed descriptively. Data analyses were conducted from May 1 to November 30, 2020. Representatives from clinical trial registries were interviewed to discuss the study findings between February 1 and March 31, 2021. FINDINGS The analysis included 197 RCTs registered in more than 1 trial registry (151 in 2 registries and 46 in 3 registries), with 188 trials in ClinicalTrials.gov, 185 in the European Union Drug Regulating Authorities Clinical Trials Database (EudraCT), 20 in ISRCTN, and 47 in other registries. The agreement of key information across all registries was as follows: 178 of 197 RCTs (90%; 95% CI, 85%-94%) for sponsor, 18 of 20 (90%; 95% CI, 68%-99%) for funding source (funding was not reported on ClinicalTrials.gov), 154 of 197 (78%; 95% CI, 72%-84%) for primary outcome, 90 of 197 (46%; 95% CI, 39%-53%) for trial status, 122 of 194 (63%; 95% CI, 56%-70%) for target sample size, and 43 of 57 (75%; 95% CI, 62%-86%) for the date of first patient enrollment when the comparison time was increased to 30 days (date of first patient enrollment was not reported on EudraCT). For results availability in trial registries, agreement was 122 of 197 RCTs (62%; 95% CI, 55%-69%) for summary data reported in the registry and 91 of 197 (46%; 95% CI, 39%-53%) for whether a published article with the main results was indexed. Different legal requirements were stated as the main reason for inconsistencies by representatives of clinical trial registries. CONCLUSIONS AND RELEVANCE In this systematic review, for a substantial proportion of registered RCTs, information about key trial characteristics was inconsistent across trial registries, raising concerns about the reliability of the information provided in these registries. Further harmonization across clinical trial registries may be necessary to increase their usefulness.
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Affiliation(s)
- Benjamin Speich
- Basel Institute for Clinical Epidemiology and Biostatistics, Department of Clinical Research, University Hospital Basel, University of Basel, Basel, Switzerland
- Centre for Statistics in Medicine, Nuffield Department of Orthopaedics, Rheumatology and Musculoskeletal Sciences, University of Oxford, Oxford, United Kingdom
| | - Viktoria L. Gloy
- Basel Institute for Clinical Epidemiology and Biostatistics, Department of Clinical Research, University Hospital Basel, University of Basel, Basel, Switzerland
| | - Katharina Klatte
- Clinical Trial Unit, Department of Clinical Research, University Hospital Basel, University of Basel, Basel, Switzerland
| | - Dmitry Gryaznov
- Basel Institute for Clinical Epidemiology and Biostatistics, Department of Clinical Research, University Hospital Basel, University of Basel, Basel, Switzerland
| | - Ala Taji Heravi
- Basel Institute for Clinical Epidemiology and Biostatistics, Department of Clinical Research, University Hospital Basel, University of Basel, Basel, Switzerland
- Swiss Tropical and Public Health Institute, Basel, Switzerland
| | - Nilabh Ghosh
- Department of Neurosurgery and Department of Biomedicine, University Hospital Basel, University of Basel, Basel, Switzerland
| | - Ioana R. Marian
- Oxford Clinical Trials Research Unit, Centre for Statistics in Medicine, Nuffield Department of Orthopaedics, Rheumatology and Musculoskeletal Sciences, University of Oxford, Oxford, United Kingdom
| | - Hopin Lee
- Centre for Statistics in Medicine, Nuffield Department of Orthopaedics, Rheumatology and Musculoskeletal Sciences, University of Oxford, Oxford, United Kingdom
| | - Anita Mansouri
- Oxford Clinical Trials Research Unit, Centre for Statistics in Medicine, Nuffield Department of Orthopaedics, Rheumatology and Musculoskeletal Sciences, University of Oxford, Oxford, United Kingdom
| | - Szimonetta Lohner
- Cochrane Hungary, Clinical Centre of the University of Pécs, Medical School, University of Pécs, Pécs, Hungary
| | - Ramon Saccilotto
- Clinical Trial Unit, Department of Clinical Research, University Hospital Basel, University of Basel, Basel, Switzerland
| | - Edris Nury
- Institute for Evidence in Medicine (for Cochrane Germany Foundation), Faculty of Medicine and Medical Center, University of Freiburg, Freiburg, Germany
| | - An-Wen Chan
- Department of Medicine, Women’s College Research Institute, Women’s College Hospital, University of Toronto, Toronto, Ontario, Canada
| | - Anette Blümle
- Institute for Evidence in Medicine (for Cochrane Germany Foundation), Faculty of Medicine and Medical Center, University of Freiburg, Freiburg, Germany
| | - Ayodele Odutayo
- Centre for Statistics in Medicine, Nuffield Department of Orthopaedics, Rheumatology and Musculoskeletal Sciences, University of Oxford, Oxford, United Kingdom
- Applied Health Research Centre, Li Ka Shing Knowledge Institute of St Michael's Hospital, Toronto, Ontario, Canada
| | - Sally Hopewell
- Centre for Statistics in Medicine, Nuffield Department of Orthopaedics, Rheumatology and Musculoskeletal Sciences, University of Oxford, Oxford, United Kingdom
| | - Matthias Briel
- Basel Institute for Clinical Epidemiology and Biostatistics, Department of Clinical Research, University Hospital Basel, University of Basel, Basel, Switzerland
- Department of Health Research Methods, Evidence, and Impact, McMaster University, Hamilton, Ontario, Canada
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Reporting Policies in Neurosurgical Journals: A Meta-Science Study of the Current State and Case for Standardization. World Neurosurg 2021; 158:11-23. [PMID: 34715370 DOI: 10.1016/j.wneu.2021.10.143] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/20/2021] [Revised: 10/19/2021] [Accepted: 10/20/2021] [Indexed: 02/07/2023]
Abstract
BACKGROUND Reporting quality within the neurosurgical literature is low, limiting the ability of journals to act as gatekeepers for evidence-based neurosurgical care. Journal policies during article submission aim to improve reporting quality. We conducted a meta-science study characterizing the reporting policies of neurosurgical journals and other related peer-reviewed publications. METHODS Journals were retrieved in 7 searches using Journal Citation Reports and Google Scholar. Characteristics, impact metrics, and submission policies were extracted. RESULTS Of 486 results, 54 journals were included, including 27 neurosurgical and 27 related topical journals. Thirty-eight (70.4%) adopted authorship guidelines and 20 (37.0%) disclosure standards of the International Council of Medical Journal Editors. Twenty-six (48.1%) required data availability statement and 33 (61.1%) clinical trials registration. Twenty-one (38.9%) required and 11 (20.4%) recommended adherence to reporting guidelines. Twenty (37.0%) endorsed EQUATOR network guidelines. PRISMA was mentioned by 30 (55.6%) journals, CONSORT by 28 (51.9%), and STROBE by 18 (33.3%). Among neurosurgical journals, factors associated with a requirement or recommendation to follow reporting guidelines among neurosurgical journals included impact factor (P = 0.0013), Article Influence Score (P = 0.0236), SCImago h-index (P = 0.0152), SCImago journal rank (P = 0.002), and CiteScore (P = 0.0023), as well as recommendations pertaining to International Council of Medical Journal Editors authorship guidelines (P = 0.0085), ORCID (P = 0.014), clinical trials registration (P = 0.0369), or data availability statement (P = 0.0047). CONSORT, PRISMA, or STROBE delineations were significantly associated with the mention of another guideline (P < 0.01). CONCLUSIONS Neurosurgical journal submission policies are inconsistent. Frameworks to improve reporting quality are uncommonly used. Increasing rigor and standardization of reporting policies across journals publishers may improve quality.
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Struthers C, Harwood J, de Beyer JA, Dhiman P, Logullo P, Schlüssel M. GoodReports: developing a website to help health researchers find and use reporting guidelines. BMC Med Res Methodol 2021; 21:217. [PMID: 34657590 PMCID: PMC8520646 DOI: 10.1186/s12874-021-01402-x] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/01/2021] [Accepted: 09/13/2021] [Indexed: 12/18/2022] Open
Abstract
BACKGROUND Th EQUATOR Network improves the quality and transparency in health research, primarily by promoting awareness and use of reporting guidelines. In 2018, the UK EQUATOR Centre launched GoodReports.org , a website that helps authors find and use reporting guidelines. This paper describes the tool's development so far. We describe user experience and behaviour of using GoodReports.org both inside and outside a journal manuscript submission process. We intend to use our findings to inform future development and testing of the tool. METHODS We conducted a survey to collect data on user experience of the GoodReports website. We cross-checked a random sample of 100 manuscripts submitted to a partner journal to describe the level of agreement between the tool's checklist recommendation and what we would have recommended. We compared the proportion of authors submitting a completed reporting checklist alongside their manuscripts between groups exposed or not exposed to the GoodReports tool. We also conducted a study comparing completeness of reporting of manuscript text before an author received a reporting guideline recommendation from GoodReports.org with the completeness of the text subsequently submitted to a partner journal. RESULTS Seventy percent (423/599) of survey respondents rated GoodReports 8 or more out of 10 for usefulness, and 74% (198/267) said they had made changes to their manuscript after using the website. We agreed with the GoodReports reporting guideline recommendation in 84% (72/86) of cases. Of authors who completed the guideline finder questionnaire, 14% (10/69) failed to submit a completed checklist compared to 30% (41/136) who did not use the tool. Of the 69 authors who received a GoodReports reporting guideline recommendation, 20 manuscript pairs could be reviewed before and after use of GoodReports. Five included more information in their methods section after exposure to GoodReports. On average, authors reported 57% of necessary reporting items before completing a checklist on GoodReports.org and 60% after. CONCLUSION The data suggest that reporting guidance is needed early in the writing process, not at submission stage. We are developing GoodReports by adding more reporting guidelines and by creating editable article templates. We will test whether GoodReports users write more complete study reports in a randomised trial targeting researchers starting to write health research articles.
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Affiliation(s)
- Caroline Struthers
- UK EQUATOR Centre, Centre for Statistics in Medicine, NDORMS, University of Oxford, Oxford, UK.
| | - James Harwood
- UK EQUATOR Centre, Centre for Statistics in Medicine, NDORMS, University of Oxford, Oxford, UK
| | - Jennifer Anne de Beyer
- UK EQUATOR Centre, Centre for Statistics in Medicine, NDORMS, University of Oxford, Oxford, UK
| | - Paula Dhiman
- UK EQUATOR Centre, Centre for Statistics in Medicine, NDORMS, University of Oxford, Oxford, UK
- NIHR Oxford Biomedical Research Centre, Oxford University Hospitals NHS Foundation Trust, Oxford, UK
| | - Patricia Logullo
- UK EQUATOR Centre, Centre for Statistics in Medicine, NDORMS, University of Oxford, Oxford, UK
| | - Michael Schlüssel
- UK EQUATOR Centre, Centre for Statistics in Medicine, NDORMS, University of Oxford, Oxford, UK
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Dick AS, Lopez DA, Watts AL, Heeringa S, Reuter C, Bartsch H, Fan CC, Kennedy DN, Palmer C, Marshall A, Haist F, Hawes S, Nichols TE, Barch DM, Jernigan TL, Garavan H, Grant S, Pariyadath V, Hoffman E, Neale M, Stuart EA, Paulus MP, Sher KJ, Thompson WK. Meaningful associations in the adolescent brain cognitive development study. Neuroimage 2021; 239:118262. [PMID: 34147629 PMCID: PMC8803401 DOI: 10.1016/j.neuroimage.2021.118262] [Citation(s) in RCA: 84] [Impact Index Per Article: 28.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/13/2021] [Revised: 05/07/2021] [Accepted: 06/10/2021] [Indexed: 02/08/2023] Open
Abstract
The Adolescent Brain Cognitive Development (ABCD) Study is the largest single-cohort prospective longitudinal study of neurodevelopment and children's health in the United States. A cohort of n = 11,880 children aged 9-10 years (and their parents/guardians) were recruited across 22 sites and are being followed with in-person visits on an annual basis for at least 10 years. The study approximates the US population on several key sociodemographic variables, including sex, race, ethnicity, household income, and parental education. Data collected include assessments of health, mental health, substance use, culture and environment and neurocognition, as well as geocoded exposures, structural and functional magnetic resonance imaging (MRI), and whole-genome genotyping. Here, we describe the ABCD Study aims and design, as well as issues surrounding estimation of meaningful associations using its data, including population inferences, hypothesis testing, power and precision, control of covariates, interpretation of associations, and recommended best practices for reproducible research, analytical procedures and reporting of results.
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Affiliation(s)
- Anthony Steven Dick
- Department of Psychology and Center for Children and Families, Florida International University, Miami, FL, United States
| | - Daniel A Lopez
- Division of Epidemiology, Department of Public Health Sciences, University of Rochester Medical Center, Rochester, NY 14642, United States
| | - Ashley L Watts
- Department of Psychology, University of Missouri, MO, United States
| | - Steven Heeringa
- Institute for Social Research, University of Michigan, Ann Arbor, MI 48109, United States
| | - Chase Reuter
- Herbert Wertheim School of Public Health and Human Longevity Science, University of California, San Diego, La Jolla, CA 92093, United States
| | - Hauke Bartsch
- Mohn Medical Imaging and Visualization Center, Department of Radiology, Haukeland University Hospital, Bergen, Norway
| | - Chun Chieh Fan
- Population Neuroscience and Genetics Lab, University of California, San Diego, La Jolla, CA 92093, United States
| | - David N Kennedy
- Department of Psychiatry, University of Massachusetts Medical School, MA United States, 01604
| | - Clare Palmer
- Center for Human Development, University of California, San Diego, La Jolla, CA 92093, United States
| | - Andrew Marshall
- Children's Hospital Los Angeles, and the Department of Pediatrics, University of Southern California, Los Angeles, CA, United States
| | - Frank Haist
- Department of Radiology, University of California, San Diego, La Jolla, CA 92093, United States
| | - Samuel Hawes
- Department of Psychology and Center for Children and Families, Florida International University, Miami, FL, United States
| | - Thomas E Nichols
- Oxford Big Data Institute, Li Ka Shing Centre for Health Information and Discovery, Nuffield Department of Population Health, University of Oxford, Oxford, United Kingdom
| | - Deanna M Barch
- Departments of Psychological & Brain Sciences, Psychiatry and Radiology, Washington University, St. Louis, MO 63130, United States
| | - Terry L Jernigan
- Department of Psychiatry, University of Massachusetts Medical School, MA United States, 01604
| | - Hugh Garavan
- Department of Psychiatry, University of Vermont, Burlington, VT, 05405, United States
| | - Steven Grant
- Behavioral and Cognitive Neuroscience Branch, Division of Neuroscience and Behavior, National Institute on Drug Abuse, National Institutes of Health, Department of Health and Human Services, Bethesda, MD, United States
| | - Vani Pariyadath
- Behavioral and Cognitive Neuroscience Branch, Division of Neuroscience and Behavior, National Institute on Drug Abuse, National Institutes of Health, Department of Health and Human Services, Bethesda, MD, United States
| | - Elizabeth Hoffman
- National Institute on Drug Abuse, National Institutes of Health, Department of Heatlh and Human Services, Bethesda, MD, United States
| | - Michael Neale
- Department of Psychiatry, Virginia Commonwealth University, Richmond, VA 23298, United States
| | - Elizabeth A Stuart
- Department of Biostatistics, Bloomberg School of Public Health, Johns Hopkins University, Baltimore, MD, United States
| | - Martin P Paulus
- Laureate Institute for Brain Research, Tulsa, OK, United States
| | - Kenneth J Sher
- Department of Psychology, University of Missouri, MO, United States
| | - Wesley K Thompson
- Herbert Wertheim School of Public Health and Human Longevity Science, University of California, San Diego, La Jolla, CA 92093, United States; Population Neuroscience and Genetics Lab, University of California, San Diego, La Jolla, CA 92093, United States.
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Emary PC, Stuber KJ, Mbuagbaw L, Oremus M, Nolet PS, Nash JV, Bauman CA, Ciraco C, Couban RJ, Busse JW. Quality of reporting in chiropractic mixed methods research: a methodological review protocol. Chiropr Man Therap 2021; 29:35. [PMID: 34526065 PMCID: PMC8442283 DOI: 10.1186/s12998-021-00395-0] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/31/2021] [Accepted: 09/07/2021] [Indexed: 01/20/2023] Open
Abstract
Background Mixed methods designs are increasingly used in health care research to enrich findings. However, little is known about the frequency of use of this methodology in chiropractic research, or the quality of reporting among chiropractic studies using mixed methods.
Objective To quantify the use and quality of mixed methods in chiropractic research, and explore the association of study characteristics (e.g., authorship, expertise, journal impact factor, country and year of publication) with reporting quality.
Methods We will conduct a systematic search of MEDLINE, EMBASE, CINAHL, and the Index to Chiropractic Literature to identify all chiropractic mixed methods studies published from inception of each database to December 31, 2020. Articles reporting the use of both qualitative and quantitative methods, or mixed qualitative methods, will be included. Pairs of reviewers will perform article screening, data extraction, risk of bias with the Mixed Methods Appraisal Tool (MMAT), and appraisal of reporting quality using the Good Reporting of A Mixed Methods Study (GRAMMS) guideline. We will explore the correlation between GRAMMS and MMAT scores, and construct generalized estimating equations to explore factors associated with reporting quality. Discussion This will be the first methodological review to examine the reporting quality of published mixed methods studies involving chiropractic research. The results of our review will inform opportunities to improve reporting in chiropractic mixed methods studies. Our results will be disseminated in a peer-reviewed publication and presented publicly at conferences and as part of a doctoral thesis. Supplementary Information The online version contains supplementary material available at 10.1186/s12998-021-00395-0.
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Affiliation(s)
- Peter C Emary
- Department of Health Research Methods, Evidence and Impact, McMaster University, Hamilton, ON, Canada. .,Chiropractic Department, D'Youville College, Buffalo, NY, USA. .,Private Practice, Cambridge, ON, Canada.
| | - Kent J Stuber
- Department of Graduate Education and Research, Canadian Memorial Chiropractic College, Toronto, ON, Canada
| | - Lawrence Mbuagbaw
- Department of Health Research Methods, Evidence and Impact, McMaster University, Hamilton, ON, Canada.,Biostatistics Unit, Father Sean O'Sullivan Research Centre, St. Joseph's Healthcare-Hamilton, Hamilton, ON, Canada.,Centre for the Development of Best Practices in Health, Yaundé, Cameroon.,Division of Global Health, Stellenbosch University, Stellenbosch, South Africa
| | - Mark Oremus
- Department of Health Research Methods, Evidence and Impact, McMaster University, Hamilton, ON, Canada.,School of Public Health and Health Systems, University of Waterloo, Waterloo, ON, Canada
| | - Paul S Nolet
- Department of Graduate Education and Research, Canadian Memorial Chiropractic College, Toronto, ON, Canada.,Care and Public Health Research Institute, Maastricht University, Maastricht, Netherlands
| | - Jennifer V Nash
- Department of Anesthesia, McMaster University, Hamilton, ON, Canada
| | - Craig A Bauman
- Department of Family Medicine, McMaster University, Hamilton, ON, Canada.,The Centre for Family Medicine Family Health Team, Kitchener, ON, Canada
| | - Carla Ciraco
- Chiropractic Department, D'Youville College, Buffalo, NY, USA
| | - Rachel J Couban
- Michael G. DeGroote National Pain Centre, McMaster University, Hamilton, ON, Canada
| | - Jason W Busse
- Department of Health Research Methods, Evidence and Impact, McMaster University, Hamilton, ON, Canada.,Department of Anesthesia, McMaster University, Hamilton, ON, Canada.,Michael G. DeGroote National Pain Centre, McMaster University, Hamilton, ON, Canada.,Chronic Pain Centre of Excellence for Canadian Veterans, Hamilton, ON, Canada
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Chen H, Han KD, He ZJ, Huang YS. How to Choose a Survival Period? The Impact of Antibiotic Use on OS or PFS in NSCLC Patients Treated With Immune Checkpoint Inhibitors: A Systematic Review and Meta-Analysis. Technol Cancer Res Treat 2021; 20:15330338211033498. [PMID: 34323149 PMCID: PMC8330456 DOI: 10.1177/15330338211033498] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/17/2022] Open
Abstract
Background: The development of immunotherapy has dramatically changed the treatment of non-small-cell lung cancer. The negative association of antibiotics on the clinical activity of immune checkpoint inhibitors in patients with NSCLC is well known. Methods: PubMed, Embase, and Medline databases were searched until January 11, 2020. We included retrospective studies of ICIs (e.g., PD-1, PD-L1, and CTLA-4). The clinical outcomes were progression-free survival (PFS) and overall survival (OS). Hazard ratios (HRs) and 95% confidence intervals (CIs) were calculated, and subgroup and sensitivity analyses were performed. Results: Our results indicated that the use of antibiotics reduced the survival of NSCLC patients treated with ICIs. The pooled HRs of PFS and OS were HR = 1.41 (95% CI = 1.23-1.61; P < 0.001) and HR = 2.16 (95% CI = 1.79-2.60; P < 0.001). We divided the studies into 5 subgroups according to antibiotic exposure time. Subgroup analysis showed that the patients that were administered antibiotics [−60 days; 0 days] or [−30 days; 0 days] before the initiation of ICIs treatment had a poorer OS rate, whereas those patients that were administered antibiotics [0 days; 30 days] after the initiation of ICIs treatment had a poorer PFS rate. In summary, ATB treatment in patients [−60 days; +30 days] near the initiation of ICIs treatment significantly reduced the survival in NSCLC patients. Conclusion: Our results indicated that ATB use is negatively associated with survival in NSCLC patients treated with ICIs immunotherapy. Similar studies involving a larger sample of cases are still being published. This meta-analysis identified that the timing of ATB treatment in NSCLC patients receiving ICIs immunotherapy has different effects on the OS and PFS of these patients. ATB treatment prior to the initiation of ICIs treatment affects OS, whereas ATB treatment after the initiation of ICIs treatment affects PFS.
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Affiliation(s)
- Hua Chen
- Department of Oncology, 560204Maoming people's Hospital, Maoming, Guangdong Province, China
| | - Ke-Dong Han
- Department of Cardiology, 560204Maoming people's Hospital, Maoming, Guangdong Province, China
| | - Zhi-Jiang He
- Department of Oncology, 560204Maoming people's Hospital, Maoming, Guangdong Province, China
| | - Yi-Sheng Huang
- Department of Oncology, 560204Maoming people's Hospital, Maoming, Guangdong Province, China
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Rønsbo TN, Laigaard J, Pedersen C, Mathiesen O, Karlsen APH. Adherence to participant flow diagrams in trials on postoperative pain management after total hip and knee arthroplasty: a methodological review. Trials 2021; 22:280. [PMID: 33853643 PMCID: PMC8048275 DOI: 10.1186/s13063-021-05233-5] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/19/2020] [Accepted: 03/29/2021] [Indexed: 11/10/2022] Open
Abstract
BACKGROUND The Consolidated Standards of Reporting Trials (CONSORT) statement aims to improve transparent reporting of randomised clinical trials. It comprises a participant flow diagram with the reporting of essential numbers for enrolment, allocation and analyses. We aimed to quantify the use of participant flow diagrams in randomised clinical trials on postoperative pain management after total hip and knee arthroplasty. METHODS We searched PubMed, Embase and CENTRAL up till January 2020. The primary outcome was the proportion of trials with adequate reporting of participant flow diagrams, defined as reporting of number of participants screened for eligibility, randomised and included in the primary analysis. Secondary outcomes were recruitment (randomised:screened) and retention (analysed:randomised) rates, reporting of a statistical strategy, reasons for exclusion from the primary analysis and handling of missing outcome data. Trends over time were assessed with statistical process control. RESULTS Of the 570 included trials, we found adequate reporting in 240 (42%). Reporting with participant flow diagram increased significantly over time. Median recruitment was 73% (IQR 44-91%), and retention was 97% (IQR 93-100%). These rates did not change over time. Trials with adequate reporting of participant flow were more likely to report a statistical strategy (41% vs 8%), reasons for post-randomisation exclusions (100% vs 55%) and handling of missing outcome data (14% vs 6%). CONCLUSIONS Adherence to participant flow diagrams for RCTs has increased significantly over time. Still, there is room for improvement of adequate reporting of flow diagrams, to increase transparency of trials details.
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Affiliation(s)
- Thea Nørgaard Rønsbo
- Department of Anaesthesiology, Centre for Anaesthesiological Research, Zealand University Hospital, Lykkebækvej 1, 4600, Køge, Denmark
| | - Jens Laigaard
- Department of Anaesthesiology, Centre for Anaesthesiological Research, Zealand University Hospital, Lykkebækvej 1, 4600, Køge, Denmark
| | - Casper Pedersen
- Department of Anaesthesiology, Centre for Anaesthesiological Research, Zealand University Hospital, Lykkebækvej 1, 4600, Køge, Denmark
| | - Ole Mathiesen
- Department of Anaesthesiology, Centre for Anaesthesiological Research, Zealand University Hospital, Lykkebækvej 1, 4600, Køge, Denmark.,Department of Clinical Medicine, University of Copenhagen, Copenhagen, Denmark
| | - Anders Peder Højer Karlsen
- Department of Anaesthesiology, Centre for Anaesthesiological Research, Zealand University Hospital, Lykkebækvej 1, 4600, Køge, Denmark.
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Golden TL, Springs S, Kimmel HJ, Gupta S, Tiedemann A, Sandu CC, Magsamen S. The Use of Music in the Treatment and Management of Serious Mental Illness: A Global Scoping Review of the Literature. Front Psychol 2021; 12:649840. [PMID: 33868127 PMCID: PMC8044514 DOI: 10.3389/fpsyg.2021.649840] [Citation(s) in RCA: 14] [Impact Index Per Article: 4.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/05/2021] [Accepted: 03/01/2021] [Indexed: 12/25/2022] Open
Abstract
Mental and substance use disorders have been identified as the leading cause of global disability, and the global burden of mental illness is concentrated among those experiencing disability due to serious mental illness (SMI). Music has been studied as a support for SMIs for decades, with promising results; however, a lack of synthesized evidence has precluded increased uptake of and access to music-based approaches. The purpose of this scoping review was to identify the types and quantity of research at intersections of music and SMIs, document evidentiary gaps and opportunities, and generate recommendations for improving research and practice. Studies were included if they reported on music's utilization in treating or mitigating symptoms related to five SMIs: schizophrenia, bipolar disorder, generalized anxiety disorder, major depressive disorder, or post-traumatic stress disorder. Eight databases were searched; screening resulted in 349 included studies for data extraction. Schizophrenia was the most studied SMI, with bipolar disorder studied the least. Demographics, settings, and activity details were found to be inconsistently and insufficiently reported; however, listening to recorded music emerged as the most common musical activity, and activity details appeared to have been affected by the conditions under study. RCTs were the predominant study design, and 271 unique measures were utilized across 289 primary studies. Over two-thirds of primary studies (68.5%) reported positive results, with 2.8% reporting worse results than the comparator, and 12% producing indeterminate results. A key finding is that evidence synthesis is precluded by insufficient reporting, widely varied outcomes and measures, and intervention complexity; as a result, widespread changes are necessary to reduce heterogeneity (as feasible), increase replicability and transferability, and improve understandings of mechanisms and causal pathways. To that end, five detailed recommendations are offered to support the sharing and development of information across disciplines.
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Affiliation(s)
| | - Stacey Springs
- Department of Health Services, Policy and Practice, Brown University, Providence, RI, United States
| | - Hannah J. Kimmel
- Medical School, University of Michigan, Ann Arbor, MI, United States
| | - Sonakshi Gupta
- Department of Pharmacy, Birla Institute of Technology and Science, Pilani, India
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El Bairi K, Al Jarroudi O, Afqir S. Inexpensive Systemic Inflammatory Biomarkers in Ovarian Cancer: An Umbrella Systematic Review of 17 Prognostic Meta-Analyses. Front Oncol 2021; 11:694821. [PMID: 34631526 PMCID: PMC8495411 DOI: 10.3389/fonc.2021.694821] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/13/2021] [Accepted: 08/03/2021] [Indexed: 02/05/2023] Open
Abstract
UNLABELLED The association of several inflammation-based biomarkers [lymphocyte-to-monocyte, neutrophil-to-lymphocyte, and platelet-to-lymphocyte ratios (LMR, NLR, and PLR, respectively)] with the survival of epithelial ovarian cancer (EOC) patients has been extensively investigated in several systematic reviews and meta-analyses (MAs) of observational studies. The aim of this umbrella systematic review is to appraise all available results in published MAs that explored the association between these biomarkers and EOC outcomes. An umbrella systematic review of the current evidence for systemic inflammatory biomarkers in the peripheral blood of EOC patients was performed by searching several databases including PubMed/Medline and Web of Science. The quality of the MAs was appraised using the AMSTAR-2 tool as well as other qualitative criteria. The evidence was graded from convincing (Class I) to weak (Class IV). Our umbrella review appraised 17 MAs of retrospective studies (range: 7-16) with a number of enrolled patients ranging from 1,636 to 4,910 patients in each MA. All these MAs demonstrated that pretreatment high NLR and PLR, as well as low LMR, were independent predictors of poor overall survival and progression-free survival in EOC. Nearly all published MAs were conducted by Chinese researchers (16/17) and were redundant in their character. Another issue in these MAs is the absence of prior PROSPERO database registration as well as the earlier exclusion of the gray literature. On the other hand, Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) and Meta-analyses Of Observational Studies in Epidemiology (MOOSE)-based reporting guidelines were used in nine out of the 17 MAs. A good number of MAs have transparently provided funding acknowledgment. The AMSTAR-2-based assessment showed low quality in 11 out of the 17 reviewed MAs. This negative rating was largely due to the absence of critical domains. Finally, all evaluated MAs were rated as Class III or IV (suggestive and weak, respectively). Despite the power of MAs in increasing sampling and precision, the quality of the current non-randomized evidence on this topic is still weak. SYSTEMATIC REVIEW REGISTRATION PROSPERO, identifier CRD42020201493.
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Affiliation(s)
- Khalid El Bairi
- Department of Medical Oncology, Mohammed VI University Hospital, Oujda, Morocco
- Faculty of Medicine and Pharmacy, Mohammed Ist University, Oujda, Morocco
- *Correspondence: Khalid El Bairi,
| | - Ouissam Al Jarroudi
- Department of Medical Oncology, Mohammed VI University Hospital, Oujda, Morocco
- Faculty of Medicine and Pharmacy, Mohammed Ist University, Oujda, Morocco
| | - Said Afqir
- Department of Medical Oncology, Mohammed VI University Hospital, Oujda, Morocco
- Faculty of Medicine and Pharmacy, Mohammed Ist University, Oujda, Morocco
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Lawson DO, Puljak L, Pieper D, Schandelmaier S, Collins GS, Brignardello-Petersen R, Moher D, Tugwell P, Welch VA, Samaan Z, Thombs BD, Nørskov AK, Jakobsen JC, Allison DB, Mayo-Wilson E, Young T, Chan AW, Briel M, Guyatt GH, Thabane L, Mbuagbaw L. Reporting of methodological studies in health research: a protocol for the development of the MethodologIcal STudy reportIng Checklist (MISTIC). BMJ Open 2020; 10:e040478. [PMID: 33334836 PMCID: PMC7747548 DOI: 10.1136/bmjopen-2020-040478] [Citation(s) in RCA: 13] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/14/2020] [Revised: 11/05/2020] [Accepted: 11/23/2020] [Indexed: 12/24/2022] Open
Abstract
INTRODUCTION Methodological studies (ie, studies that evaluate the design, conduct, analysis or reporting of other studies in health research) address various facets of health research including, for instance, data collection techniques, differences in approaches to analyses, reporting quality, adherence to guidelines or publication bias. As a result, methodological studies can help to identify knowledge gaps in the methodology of health research and strategies for improvement in research practices. Differences in methodological study names and a lack of reporting guidance contribute to lack of comparability across studies and difficulties in identifying relevant previous methodological studies. This paper outlines the methods we will use to develop an evidence-based tool-the MethodologIcal STudy reportIng Checklist-to harmonise naming conventions and improve the reporting of methodological studies. METHODS AND ANALYSIS We will search for methodological studies in the Cumulative Index to Nursing and Allied Health Literature, Cochrane Library, Embase, MEDLINE, Web of Science, check reference lists and contact experts in the field. We will extract and summarise data on the study names, design and reporting features of the included methodological studies. Consensus on study terms and recommended reporting items will be achieved via video conference meetings with a panel of experts including researchers who have published methodological studies. ETHICS AND DISSEMINATION The consensus study has been exempt from ethics review by the Hamilton Integrated Research Ethics Board. The results of the review and the reporting guideline will be disseminated in stakeholder meetings, conferences, peer-reviewed publications, in requests to journal editors (to endorse or make the guideline a requirement for authors), and on the Enhancing the QUAlity and Transparency Of health Research (EQUATOR) Network and reporting guideline websites. REGISTRATION We have registered the development of the reporting guideline with the EQUATOR Network and publicly posted this project on the Open Science Framework (www.osf.io/9hgbq).
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Affiliation(s)
- Daeria O Lawson
- Department of Health Research Methods, Evidence, and Impact, McMaster University, Hamilton, Ontario, Canada
| | - Livia Puljak
- Center for Evidence-Based Medicine and Health Care, Catholic University of Croatia, Zagreb, Croatia
| | - Dawid Pieper
- Institute for Research in Operative Medicine, Witten/Herdecke University, Cologne, Germany
| | - Stefan Schandelmaier
- Department of Health Research Methods, Evidence, and Impact, McMaster University, Hamilton, Ontario, Canada
- Institute for Clinical Epidemiology and Biostatistics, Department of Clinical Research, University and University Hospital of Basel, Basel, Switzerland
| | - Gary S Collins
- Centre for Statistics in Medicine, Nuffield Department of Orthopaedics, Rheumatology and Musculoskeletal Sciences, University of Oxford, Oxford, UK
| | | | - David Moher
- Centre for Journalology, Clinical Epidemiology Program, Ottawa Hospital Research Institute, Ottawa, Ontario, Canada
- School of Epidemiology and Public Health, Faculty of Medicine, University of Ottawa, Ottawa, Ontario, Canada
| | - Peter Tugwell
- School of Epidemiology and Public Health, Faculty of Medicine and Department of Medicine, University of Ottawa, Ottawa, Ontario, Canada
- Bruyère Research Institute, Ottawa, Ontario, Canada
| | - Vivian A Welch
- School of Epidemiology and Public Health, Faculty of Medicine, University of Ottawa, Ottawa, Ontario, Canada
- Bruyère Research Institute, Ottawa, Ontario, Canada
| | - Zainab Samaan
- Department of Health Research Methods, Evidence, and Impact, McMaster University, Hamilton, Ontario, Canada
| | - Brett D Thombs
- Faculty of Medicine, McGill University, Montreal, Quebec, Canada
- Lady Davis Institute for Medical Research, Jewish General Hospital, Montreal, Quebec, Canada
| | - Anders K Nørskov
- Copenhagen Trial Unit, Rigshospitalet, Copenhagen University Hospital, Copenhagen, Denmark
| | - Janus C Jakobsen
- Copenhagen Trial Unit, Rigshospitalet, Copenhagen University Hospital, Copenhagen, Denmark
- Department of Regional Health Research, The Faculty of Heath Sciences, University of Southern Denmark, Odense, Denmark
| | - David B Allison
- Department of Epidemiology and Biostatistics, Indiana University School of Public Health-Bloomington, Bloomington, Indiana, USA
| | - Evan Mayo-Wilson
- Department of Epidemiology and Biostatistics, Indiana University School of Public Health-Bloomington, Bloomington, Indiana, USA
| | - Taryn Young
- Centre for Evidence-based Health Care, Division of Epidemiology and Biostatistics, Faculty of Medicine and Health Sciences, Stellenbosch University, Cape Town, South Africa
| | - An-Wen Chan
- Department of Medicine, Women's College Research Institute, University of Toronto, Toronto, Ontario, Canada
| | - Matthias Briel
- Department of Health Research Methods, Evidence, and Impact, McMaster University, Hamilton, Ontario, Canada
- Institute for Clinical Epidemiology and Biostatistics, Department of Clinical Research, University and University Hospital of Basel, Basel, Switzerland
| | - Gordon H Guyatt
- Department of Health Research Methods, Evidence, and Impact, McMaster University, Hamilton, Ontario, Canada
| | - Lehana Thabane
- Department of Health Research Methods, Evidence, and Impact, and Departments of Paediatrics and Anaesthesia, McMaster University, Hamilton, Ontario, Canada
- Biostatistics Unit, Father Sean O'Sullivan Research Centre and Centre for Evaluation of Medicine, Saint Joseph's Healthcare Hamilton, Hamilton, Ontario, Canada
- Population Health Research Institute, Hamilton Health Sciences, Hamilton, Ontario, Canada
| | - Lawrence Mbuagbaw
- Department of Health Research Methods, Evidence, and Impact, McMaster University, Hamilton, Ontario, Canada
- Biostatistics Unit, Father Sean O'Sullivan Research Centre, Saint Joseph's Healthcare Hamilton, Hamilton, Ontario, Canada
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Logullo P, de Beyer JA, Kirtley S, Struthers C, Collins GS. Reporting guidelines should be free to publish, read, and use. J Glob Health 2020; 10:0203107. [PMID: 33437467 PMCID: PMC7774013 DOI: 10.7189/jogh.10.0203107] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/16/2022] Open
Affiliation(s)
- Patricia Logullo
- UK EQUATOR Centre, Centre for Statistics in Medicine, Nuffield Department of Orthopaedics, Rheumatology & Musculoskeletal Sciences, University of Oxford, Oxford, United Kingdom
| | - Jennifer A de Beyer
- UK EQUATOR Centre, Centre for Statistics in Medicine, Nuffield Department of Orthopaedics, Rheumatology & Musculoskeletal Sciences, University of Oxford, Oxford, United Kingdom
| | - Shona Kirtley
- UK EQUATOR Centre, Centre for Statistics in Medicine, Nuffield Department of Orthopaedics, Rheumatology & Musculoskeletal Sciences, University of Oxford, Oxford, United Kingdom
| | - Caroline Struthers
- UK EQUATOR Centre, Centre for Statistics in Medicine, Nuffield Department of Orthopaedics, Rheumatology & Musculoskeletal Sciences, University of Oxford, Oxford, United Kingdom
| | - Gary S Collins
- UK EQUATOR Centre, Centre for Statistics in Medicine, Nuffield Department of Orthopaedics, Rheumatology & Musculoskeletal Sciences, University of Oxford, Oxford, United Kingdom
- National Institute for Health Research Oxford Biomedical Research Centre, John Radcliffe Hospital, Oxford, United Kingdom
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Innocenti T, Salvioli S, Giagio S, Feller D, Cartabellotta N, Chiarotto A. Declaration of use and appropriate use of reporting guidelines in high-impact rehabilitation journals is limited: a meta-research study. J Clin Epidemiol 2020; 131:43-50. [PMID: 33227447 DOI: 10.1016/j.jclinepi.2020.11.010] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/28/2020] [Revised: 11/03/2020] [Accepted: 11/13/2020] [Indexed: 12/13/2022]
Abstract
OBJECTIVES The main aims of this metaresearch study conducted among high-impact rehabilitation journals were: 1) to evaluate if the use of reporting guidelines (RGs) was declared and 2) to categorize the declared use as appropriate or inappropriate. STUDY DESIGN AND SETTING Cross-sectional analysis of a random sample of 200 studies published in the period 2010-2019 in five generic rehabilitation journals with the highest 5-year impact factor. Randomized controlled trials, systematic reviews, observational studies, and diagnostic studies were included. Prevalence with 95% confidence intervals (CIs) was estimated for the main outcomes. RESULTS Among the 200 selected studies, 17.5% (95% CI: 12.2-22.8%) declared using RGs. Among these studies, 48.6% (95% CI: 32-65.1%) declared an appropriate use. There was an increasing trend over time for authors to report the use of RGs (OR: 1.31; 95% CI: 1.13-1.53). Systematic reviews (n = 54) reported more frequently the use of RGs than other study designs (35.2%). CONCLUSION In high-impact rehabilitation journals, a small minority of article authors declared the use of RGs. In approximately half of these studies, RGs were used inappropriately. There is an urgent need to improve the use of RGs in this field of research.
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Affiliation(s)
- Tiziano Innocenti
- Department of Health Sciences, Amsterdam Public Health Research Institute, VU University, Amsterdam, the Netherlands.
| | - Stefano Salvioli
- Department of Neuroscience, Rehabilitation, Ophthalmology, Genetics, Maternal and Child Health (DINOGMI), University of Genoa, Genoa, Italy
| | - Silvia Giagio
- Department of Biomedical and Neuromotor Sciences (DIBINEM), Alma Mater Studiorum, University of Bologna, Bologna, Italy
| | - Daniel Feller
- Provincial Agency for Health of the Autonomous Province of Trento, Trento, Italy
| | | | - Alessandro Chiarotto
- Department of Health Sciences, Amsterdam Public Health Research Institute, VU University, Amsterdam, the Netherlands; Department of General Practice, Erasmus MC, University Medical Center, Rotterdam, the Netherlands
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Binda S, Hill C, Johansen E, Obis D, Pot B, Sanders ME, Tremblay A, Ouwehand AC. Criteria to Qualify Microorganisms as "Probiotic" in Foods and Dietary Supplements. Front Microbiol 2020; 11:1662. [PMID: 32793153 PMCID: PMC7394020 DOI: 10.3389/fmicb.2020.01662] [Citation(s) in RCA: 164] [Impact Index Per Article: 41.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/18/2020] [Accepted: 06/25/2020] [Indexed: 12/15/2022] Open
Abstract
Still relevant after 19 years, the FAO/WHO definition of probiotics can be translated into four simple and pragmatic criteria allowing one to conclude if specific strains of microorganisms qualify as a probiotic for use in foods and dietary supplements. Probiotic strains must be (i) sufficiently characterized; (ii) safe for the intended use; (iii) supported by at least one positive human clinical trial conducted according to generally accepted scientific standards or as per recommendations and provisions of local/national authorities when applicable; and (iv) alive in the product at an efficacious dose throughout shelf life. We provide clarity and detail how each of these four criteria can be assessed. The wide adoption of these criteria is necessary to ensure the proper use of the word probiotic in scientific publications, on product labels, and in communications with regulators and the general public.
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Affiliation(s)
- Sylvie Binda
- Danone Nutricia Research, Palaiseau Cedex, France
| | - Colin Hill
- APC Microbiome Ireland, University College Cork, Cork, Ireland
| | - Eric Johansen
- Emerging Technologies, Chr. Hansen A/S, Hørsholm, Denmark
| | - David Obis
- Danone Nutricia Research, Palaiseau Cedex, France
| | - Bruno Pot
- Science Europe, Yakult Europe BV, Almere, Netherlands
| | - Mary Ellen Sanders
- International Scientific Association for Probiotics and Prebiotics, Centennial, CO, United States
| | - Annie Tremblay
- Rosell Institute for Microbiome and Probiotics, Montreal, QC, Canada
| | - Arthur C. Ouwehand
- Global Health and Nutrition Sciences, DuPont Nutrition and Biosciences, Kantvik, Finland
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Rademaker MM, Ramakers GGJ, Smit AL, Hooft L, Stegeman I. The effect of the CONSORT statement on the amount of "unclear" Risk of Bias reporting in Cochrane Systematic Reviews. PLoS One 2020; 15:e0235535. [PMID: 32650340 PMCID: PMC7351499 DOI: 10.1371/journal.pone.0235535] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/12/2019] [Accepted: 06/18/2020] [Indexed: 11/23/2022] Open
Abstract
Background The Consolidated Standards of Reporting Trials (CONSORT) statement aims to improve clarity and consistency of transparency of reporting in Randomized Controlled Trials (RCTs). The Cochrane Risk of Bias (RoB) tool for RCTs helps authors to judge the RoB. as ‘‘low”, “high” or “unclear”. Objective In this study we aimed to assess whether the implementation and updates of the CONSORT statement influenced the trend of “unclear” RoB scores of RCTs included in Cochrane systematic reviews. Methods All Cochrane reviews published in December to October 2016 were retrieved. The publication year of RCTS included in the reviews were sorted into time frames (≤1995, 1996–2000, 2001–2009 and ≥2010) based on the release- and updates of the CONSORT statement (1996, 2001 and 2010). The association between “unclear” RoB versus “low or high” RoB and the year of publication in different time frames were calculated using a binary logistic regression. Results Data was extracted from 64 Cochrane reviews, with 989 RCTS (6471 items). The logistic regression showed that the odds of RCTs published ≥2010, compared to ≤1995 were more likely not to report an “unclear” RoB for the total data (Odds Ratio (OR) 0.69 (95% Confidence interval: 0.59–0.80)), random sequence generation (OR 0.32 (0.22–0.47), allocation concealment (0.64 (0.43–0.95)) and incomplete outcome data (OR 0.60 (0.39–0.91)). Conclusion A slight decrease of “unclear” RoB reporting over time was found. To improve quality of reporting authors are encouraged to adhere to reporting guidelines.
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Affiliation(s)
- Maaike M. Rademaker
- Division of Surgical Specialties, Department of Otorhinolaryngology-Head and Neck Surgery, University Medical Center Utrecht, Utrecht, The Netherlands
- UMC Utrecht Brain Center, Utrecht, The Netherlands
- * E-mail:
| | - Geerte G. J. Ramakers
- Division of Surgical Specialties, Department of Otorhinolaryngology-Head and Neck Surgery, University Medical Center Utrecht, Utrecht, The Netherlands
| | - Adriana L. Smit
- Division of Surgical Specialties, Department of Otorhinolaryngology-Head and Neck Surgery, University Medical Center Utrecht, Utrecht, The Netherlands
- UMC Utrecht Brain Center, Utrecht, The Netherlands
| | - Lotty Hooft
- Cochrane Netherlands, University Medical Center Utrecht, Utrecht University, Utrecht, The Netherlands
- Julius Center for Health Sciences and Primary Care, University Medical Center Utrecht, Utrecht University, Utrecht, The Netherlands
| | - Inge Stegeman
- Division of Surgical Specialties, Department of Otorhinolaryngology-Head and Neck Surgery, University Medical Center Utrecht, Utrecht, The Netherlands
- UMC Utrecht Brain Center, Utrecht, The Netherlands
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Bachelet VC, Carrasco VA, Bravo-Córdova F, Díaz RA, Lizana FJ, Meza-Ducaud N, Pardo-Hernandez H, Uribe FA, Vergara AF, Villanueva J, Navarrete MS. Quality of reporting for randomised clinical trials published in Latin American and Spanish journals: A protocol for a systematic survey of three clinical specialities. BMJ Open 2020; 10:e036148. [PMID: 32565468 PMCID: PMC7311006 DOI: 10.1136/bmjopen-2019-036148] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/18/2022] Open
Abstract
INTRODUCTION Quality of reporting refers to how published articles communicate how the research was done and what was found. Gaps and imprecisions of reporting hamper the assessment of the methodological quality and internal and external validity. The CONsolidated Standards of Reporting Trials (CONSORT) are a set of evidence-based recommendations of the minimum elements to be included in the reporting of randomised controlled trials (RCTs) to ensure a complete and transparent account of what was done, how it was done and what was found. Few studies have been conducted on the impact of CONSORT on RCTs published in Latin American and Spanish journals. We aim to assess the reporting quality of RCTs of three clinical specialities published in Spanish and Latin American journals, as well as to assess changes over time and associations of quality with journal and country indicators. METHODS AND ANALYSIS We will conduct a systematic survey of all RCTs published in Spanish-language journals in three clinical fields (dentistry, neurology and geriatrics) from 1990 to 2018. We will include RCTs from previous work that has identified all RCTs on these medical fields published in Spain and Latin America. We will update this work via handsearching of relevant journals. Assessment of quality of reporting will be conducted independently and in duplicate using the CONSORT 2010 Statement. We will also extract journal and country indicators. We will conduct descriptive statistics and secondary analyses considering the year, country, and journal of publication, among others. ETHICS AND DISSEMINATION The Universidad de Santiago de Chile's ethics committee approved the protocol. We will disseminate the results of this work in peer-reviewed scientific journals and conference proceedings. We expect to raise awareness among researchers, journal editors and funders on the importance of training in reporting guidelines and using them from the inception of RCT protocols.
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Affiliation(s)
- Vivienne C Bachelet
- Escuela de Medicina, Facultad de Ciencias Médicas, Universidad de Santiago de Chile (USACH), Santiago, Chile
| | - Víctor A Carrasco
- Escuela de Medicina, Facultad de Ciencias Médicas, Universidad de Santiago de Chile (USACH), Santiago, Chile
| | - Fabiana Bravo-Córdova
- Escuela de Medicina, Facultad de Ciencias Médicas, Universidad de Santiago de Chile (USACH), Santiago, Chile
| | - Ruben A Díaz
- Escuela de Medicina, Facultad de Ciencias Médicas, Universidad de Santiago de Chile (USACH), Santiago, Chile
| | - Francisca J Lizana
- Escuela de Medicina, Facultad de Ciencias Médicas, Universidad de Santiago de Chile (USACH), Santiago, Chile
| | - Nicolás Meza-Ducaud
- Escuela de Medicina, Facultad de Ciencias Médicas, Universidad de Santiago de Chile (USACH), Santiago, Chile
| | - Hector Pardo-Hernandez
- Iberoamerican Cochrane Center, Biomedical Research Institute Sant Pau (IIB Sant Pau) - CIBER Epidemiología y Salud Pública (CIBERESP), Barcelona, Spain
| | - Francisco A Uribe
- Escuela de Medicina, Facultad de Ciencias Médicas, Universidad de Santiago de Chile (USACH), Santiago, Chile
| | - Alonso F Vergara
- Escuela de Medicina, Facultad de Ciencias Médicas, Universidad de Santiago de Chile (USACH), Santiago, Chile
| | - Julio Villanueva
- Facultad de Odontología, Universidad de Chile, Santiago de Chile, Chile
| | - María S Navarrete
- Escuela de Medicina, Facultad de Ciencias Médicas, Universidad de Santiago de Chile (USACH), Santiago, Chile
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48
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Dimairo M, Pallmann P, Wason J, Todd S, Jaki T, Julious SA, Mander AP, Weir CJ, Koenig F, Walton MK, Nicholl JP, Coates E, Biggs K, Hamasaki T, Proschan MA, Scott JA, Ando Y, Hind D, Altman DG. The adaptive designs CONSORT extension (ACE) statement: a checklist with explanation and elaboration guideline for reporting randomised trials that use an adaptive design. Trials 2020; 21:528. [PMID: 32546273 PMCID: PMC7298968 DOI: 10.1186/s13063-020-04334-x] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/11/2022] Open
Abstract
Adaptive designs (ADs) allow pre-planned changes to an ongoing trial without compromising the validity of conclusions and it is essential to distinguish pre-planned from unplanned changes that may also occur. The reporting of ADs in randomised trials is inconsistent and needs improving. Incompletely reported AD randomised trials are difficult to reproduce and are hard to interpret and synthesise. This consequently hampers their ability to inform practice as well as future research and contributes to research waste. Better transparency and adequate reporting will enable the potential benefits of ADs to be realised.This extension to the Consolidated Standards Of Reporting Trials (CONSORT) 2010 statement was developed to enhance the reporting of randomised AD clinical trials. We developed an Adaptive designs CONSORT Extension (ACE) guideline through a two-stage Delphi process with input from multidisciplinary key stakeholders in clinical trials research in the public and private sectors from 21 countries, followed by a consensus meeting. Members of the CONSORT Group were involved during the development process.The paper presents the ACE checklists for AD randomised trial reports and abstracts, as well as an explanation with examples to aid the application of the guideline. The ACE checklist comprises seven new items, nine modified items, six unchanged items for which additional explanatory text clarifies further considerations for ADs, and 20 unchanged items not requiring further explanatory text. The ACE abstract checklist has one new item, one modified item, one unchanged item with additional explanatory text for ADs, and 15 unchanged items not requiring further explanatory text.The intention is to enhance transparency and improve reporting of AD randomised trials to improve the interpretability of their results and reproducibility of their methods, results and inference. We also hope indirectly to facilitate the much-needed knowledge transfer of innovative trial designs to maximise their potential benefits. In order to encourage its wide dissemination this article is freely accessible on the BMJ and Trials journal websites."To maximise the benefit to society, you need to not just do research but do it well" Douglas G Altman.
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Affiliation(s)
- Munyaradzi Dimairo
- School of Health and Related Research, University of Sheffield, Sheffield, S1 4DA, UK.
| | | | - James Wason
- MRC Biostatistics Unit, University of Cambridge, Cambridge, UK
- Institute of Health and Society, Newcastle University, Newcastle, UK
| | - Susan Todd
- Department of Mathematics and Statistics, University of Reading, Reading, UK
| | - Thomas Jaki
- Department of Mathematics and Statistics, Lancaster University, Lancaster, UK
| | - Steven A Julious
- School of Health and Related Research, University of Sheffield, Sheffield, S1 4DA, UK
| | - Adrian P Mander
- Centre for Trials Research, Cardiff University, Cardiff, UK
- MRC Biostatistics Unit, University of Cambridge, Cambridge, UK
| | - Christopher J Weir
- Edinburgh Clinical Trials Unit, Usher Institute, University of Edinburgh, Edinburgh, UK
| | - Franz Koenig
- Centre for Medical Statistics, Informatics, and Intelligent Systems, Medical University of Vienna, Vienna, Austria
| | - Marc K Walton
- Janssen Pharmaceuticals, Titusville, New Jersey, USA
| | - Jon P Nicholl
- School of Health and Related Research, University of Sheffield, Sheffield, S1 4DA, UK
| | - Elizabeth Coates
- School of Health and Related Research, University of Sheffield, Sheffield, S1 4DA, UK
| | - Katie Biggs
- School of Health and Related Research, University of Sheffield, Sheffield, S1 4DA, UK
| | | | - Michael A Proschan
- National Institute of Allergy and Infectious Diseases, National Institutes of Health, Bethesda, USA
| | - John A Scott
- Division of Biostatistics in the Center for Biologics Evaluation and Research, Food and Drug Administration, Rockville, USA
| | - Yuki Ando
- Pharmaceuticals and Medical Devices Agency, Tokyo, Japan
| | - Daniel Hind
- School of Health and Related Research, University of Sheffield, Sheffield, S1 4DA, UK
| | - Douglas G Altman
- Centre for Statistics in Medicine, University of Oxford, Oxford, UK
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49
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Dimairo M, Pallmann P, Wason J, Todd S, Jaki T, Julious SA, Mander AP, Weir CJ, Koenig F, Walton MK, Nicholl JP, Coates E, Biggs K, Hamasaki T, Proschan MA, Scott JA, Ando Y, Hind D, Altman DG. The Adaptive designs CONSORT Extension (ACE) statement: a checklist with explanation and elaboration guideline for reporting randomised trials that use an adaptive design. BMJ 2020; 369:m115. [PMID: 32554564 PMCID: PMC7298567 DOI: 10.1136/bmj.m115] [Citation(s) in RCA: 55] [Impact Index Per Article: 13.8] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Accepted: 11/19/2019] [Indexed: 12/11/2022]
Abstract
Adaptive designs (ADs) allow pre-planned changes to an ongoing trial without compromising the validity of conclusions and it is essential to distinguish pre-planned from unplanned changes that may also occur. The reporting of ADs in randomised trials is inconsistent and needs improving. Incompletely reported AD randomised trials are difficult to reproduce and are hard to interpret and synthesise. This consequently hampers their ability to inform practice as well as future research and contributes to research waste. Better transparency and adequate reporting will enable the potential benefits of ADs to be realised.This extension to the Consolidated Standards Of Reporting Trials (CONSORT) 2010 statement was developed to enhance the reporting of randomised AD clinical trials. We developed an Adaptive designs CONSORT Extension (ACE) guideline through a two-stage Delphi process with input from multidisciplinary key stakeholders in clinical trials research in the public and private sectors from 21 countries, followed by a consensus meeting. Members of the CONSORT Group were involved during the development process.The paper presents the ACE checklists for AD randomised trial reports and abstracts, as well as an explanation with examples to aid the application of the guideline. The ACE checklist comprises seven new items, nine modified items, six unchanged items for which additional explanatory text clarifies further considerations for ADs, and 20 unchanged items not requiring further explanatory text. The ACE abstract checklist has one new item, one modified item, one unchanged item with additional explanatory text for ADs, and 15 unchanged items not requiring further explanatory text.The intention is to enhance transparency and improve reporting of AD randomised trials to improve the interpretability of their results and reproducibility of their methods, results and inference. We also hope indirectly to facilitate the much-needed knowledge transfer of innovative trial designs to maximise their potential benefits.
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Affiliation(s)
- Munyaradzi Dimairo
- School of Health and Related Research, University of Sheffield, Sheffield S1 4DA, UK
| | | | - James Wason
- MRC Biostatistics Unit, University of Cambridge, UK
- Institute of Health and Society, Newcastle University, UK
| | - Susan Todd
- Department of Mathematics and Statistics, University of Reading, UK
| | - Thomas Jaki
- Department of Mathematics and Statistics, Lancaster University, UK
| | - Steven A Julious
- School of Health and Related Research, University of Sheffield, Sheffield S1 4DA, UK
| | - Adrian P Mander
- Centre for Trials Research, Cardiff University, UK
- MRC Biostatistics Unit, University of Cambridge, UK
| | - Christopher J Weir
- Edinburgh Clinical Trials Unit, Usher Institute, University of Edinburgh, UK
| | - Franz Koenig
- Centre for Medical Statistics, Informatics, and Intelligent Systems, Medical University of Vienna, Austria
| | | | - Jon P Nicholl
- School of Health and Related Research, University of Sheffield, Sheffield S1 4DA, UK
| | - Elizabeth Coates
- School of Health and Related Research, University of Sheffield, Sheffield S1 4DA, UK
| | - Katie Biggs
- School of Health and Related Research, University of Sheffield, Sheffield S1 4DA, UK
| | | | - Michael A Proschan
- National Institute of Allergy and Infectious Diseases, National Institutes of Health, USA
| | - John A Scott
- Division of Biostatistics in the Center for Biologics Evaluation and Research, Food and Drug Administration, USA
| | - Yuki Ando
- Pharmaceuticals and Medical Devices Agency, Japan
| | - Daniel Hind
- School of Health and Related Research, University of Sheffield, Sheffield S1 4DA, UK
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50
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Clyne B, Boland F, Murphy N, Murphy E, Moriarty F, Barry A, Wallace E, Devine T, Smith SM, Devane D, Murphy A, Fahey T. Quality, scope and reporting standards of randomised controlled trials in Irish Health Research: an observational study. Trials 2020; 21:494. [PMID: 32513240 PMCID: PMC7278139 DOI: 10.1186/s13063-020-04396-x] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/07/2020] [Accepted: 05/08/2020] [Indexed: 12/13/2022] Open
Abstract
Background Despite efforts to improve the accuracy and transparency of the design, conduct, and reporting of randomised controlled trials (RCTs), deficiencies remain. Such deficiencies contribute to significant, avoidable waste of health research investment and impede reproducibility. This study aimed to synthesise and critically analyse changes over time in the conduct and reporting of internationally published evidence on patient and/or population health-oriented RCTs conducted in one country. Methods This observational study drew on systematic review methods. We searched six databases for published RCTs (database inception to December 2018) where ≥ 80% of participants were recruited in the Republic of Ireland. RCTs of interventions targeted at patients, providers and/or policy makers intended to improve health, healthcare or health research were included. For each study, screening, data extraction and methodological quality appraisal were conducted by one member of the author team. Results From 17,560 titles and abstracts, 752 unique RCTs were published in 745 papers between 1968 and 2018, with a steady year-on-year increase since 1968. The number of participants was in the range of 2–8628. The majority were parallel design (86%) and classified as treatment evaluation. Of the 418 RCTs published since the introduction of mandatory clinical trial registration by the International Committee of Medical Journal Editors in 2005, 32% (n = 134) provided a trial registration number. This increased to 47% when taking studies published between 2013 and 2018 (n = 232). Since the 1996 publication of the CONSORT statement, 16% of included RCTs made specific reference to a standardised reporting guideline and this increased to 31% for more recent studies published between 2013 and 2018. Overall, 7% (n = 53) of studies referred to a published study protocol, increasing to 20% for studies published between 2013 and 2018. Conclusion Evidence from this single-country study of RCTs published in the international literature suggests that both the number overall, the number registered and the number referencing reporting guidelines have increased steadily over time. Despite widespread endorsement of reporting standards, reporting of RCTs remains suboptimal in domains such as compliance with the CONSORT statement and prospective trial registration. Researchers, funders and journal editors, nationally and internationally, should continue to focus on improving reporting and examining avoidable waste of health research investment.
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Affiliation(s)
- Barbara Clyne
- HRB Centre for Primary Care Research, Department of General Practice, Royal College of Surgeons in Ireland, 123 St Stephens Green, Dublin 2, Ireland.
| | - Fiona Boland
- HRB Centre for Primary Care Research, Department of General Practice, Royal College of Surgeons in Ireland, 123 St Stephens Green, Dublin 2, Ireland
| | - Norah Murphy
- HRB Centre for Primary Care Research, Department of General Practice, Royal College of Surgeons in Ireland, 123 St Stephens Green, Dublin 2, Ireland
| | - Edel Murphy
- Public and Patient Involvement (PPI) Ignite, NUI Galway, Galway, Ireland
| | - Frank Moriarty
- HRB Centre for Primary Care Research, Department of General Practice, Royal College of Surgeons in Ireland, 123 St Stephens Green, Dublin 2, Ireland
| | - Alan Barry
- HRB Centre for Primary Care Research, Department of General Practice, Royal College of Surgeons in Ireland, 123 St Stephens Green, Dublin 2, Ireland
| | - Emma Wallace
- HRB Centre for Primary Care Research, Department of General Practice, Royal College of Surgeons in Ireland, 123 St Stephens Green, Dublin 2, Ireland
| | - Tatyana Devine
- HRB Centre for Primary Care Research, Department of General Practice, Royal College of Surgeons in Ireland, 123 St Stephens Green, Dublin 2, Ireland
| | - Susan M Smith
- HRB Centre for Primary Care Research, Department of General Practice, Royal College of Surgeons in Ireland, 123 St Stephens Green, Dublin 2, Ireland
| | - Declan Devane
- HRB-Trials Methodology Research Network, School of Nursing & Midwifery, NUI Galway, Galway, Ireland
| | - Andrew Murphy
- HRB Primary Care Clinical Trials Network Ireland, Department of General Practice, NUI Galway, Galway, Ireland
| | - Tom Fahey
- HRB Centre for Primary Care Research, Department of General Practice, Royal College of Surgeons in Ireland, 123 St Stephens Green, Dublin 2, Ireland
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