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Tomlinson E, Cooper C, Davenport C, Rutjes AWS, Leeflang M, Mallett S, Whiting P. Common challenges and suggestions for risk of bias tool development: a systematic review of methodological studies. J Clin Epidemiol 2024:111370. [PMID: 38670243 DOI: 10.1016/j.jclinepi.2024.111370] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/23/2023] [Revised: 04/16/2024] [Accepted: 04/17/2024] [Indexed: 04/28/2024]
Abstract
OBJECTIVE To review the findings of studies that have evaluated the design and/or usability of key risk of bias (RoB) tools for the assessment of RoB in primary studies, as categorised by the LATITUDES Network (a searchable library of RoB tools for evidence synthesis): PROBAST, RoB2, ROBINS-I, QUADAS-2, QUADAS-C, QUAPAS, ROBINS-E, and the COSMIN RoB checklist. STUDY DESIGN AND SETTING Systematic review of methodological studies. We conducted a forward citation search from the primary report of each tool, to identify primary studies aiming to evaluate the design and/or usability of the tool. Two reviewers assessed studies for inclusion. We extracted tool features into Microsoft Word and used NVivo for document analysis, comprising a mix of deductive and inductive approaches. We summarised findings within each tool and explored common findings across tools. RESULTS We identified 13 tool evaluations meeting our inclusion criteria: PROBAST (3); RoB2 (3); ROBINS-I (4); QUADAS-2 (3). We identified no evaluations for the other tools. Evaluations varied in clinical topic area, methodology, approach to bias assessment and tool user background. Some had limitations affecting generalisability. We identified common findings across tools for 6/14 themes: 1) challenging items (e.g. RoB2/ROBINS-I "deviations from intended interventions" domain), 2) overall RoB judgement (concerns with overall risk calculation in PROBAST/ROBINS-I), 3) tool usability (concerns about complexity), 4) time to complete tool (varying demands on time e.g. depending on number of outcomes assessed), 5) user agreement (varied across tools), and 6) recommendations for future use (e.g. piloting) and development (add intermediate domain answer to QUADAS-2/PROBAST; provide clearer guidance for all tools). Of the other eight themes, seven only had findings for the QUADAS-2 tool, limiting comparison across tools, and one ("re-organisation of questions") had no findings. CONCLUSION Evaluations of key RoB tools have posited common challenges and recommendations for tool use and development. These findings may be helpful to people using or developing RoB tools. Guidance is necessary to support the design and implementation of future RoB tool evaluations.
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Affiliation(s)
- Eve Tomlinson
- Population Health Sciences, Bristol Medical School, University of Bristol, Bristol, UK.
| | - Chris Cooper
- Population Health Sciences, Bristol Medical School, University of Bristol, Bristol, UK
| | - Clare Davenport
- Test and Prediction Group, Institute of Applied Health Research, University of Birmingham, Birmingham, B15 2TT, UK; NIHR Birmingham Biomedical Research Centre, University Hospitals Birmingham NHS Foundation Trust and University of Birmingham, Birmingham B15 2TT, UK
| | - Anne W S Rutjes
- Department of Medical and Surgical Sciences for Children and Adults (SMECHIMAI), University of Modena and Reggio Emilia, Modena, Italy
| | - Mariska Leeflang
- Amsterdam University Medical Centers, University of Amsterdam, Amsterdam, The Netherlands
| | - Sue Mallett
- Centre for Medical Imaging, University College London, London, UK
| | - Penny Whiting
- Population Health Sciences, Bristol Medical School, University of Bristol, Bristol, UK
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2
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Al Harthi T, Whiting P, Watson J. Liver function tests in patients with hypertension in primary care: a prospective cohort study. BJGP Open 2024:BJGPO.2023.0082. [PMID: 37726171 DOI: 10.3399/bjgpo.2023.0082] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/04/2023] [Revised: 08/30/2023] [Accepted: 09/13/2023] [Indexed: 09/21/2023] Open
Abstract
BACKGROUND Liver function tests (LFTs) are frequently used to monitor patients with hypertension in UK primary care. Evidence is lacking on whether testing improves outcomes. AIM To estimate the diagnostic accuracy of LFTs in patients with hypertension and determine downstream consequences of testing. DESIGN & SETTING Prospective study using the Clinical Practice Research Datalink (CPRD). METHOD In total, 30 000 patients with hypertension who had LFTs in 2015 were randomly selected from CPRD. The diagnostic accuracy measures for eight LFT analytes and an overall LFT panel were calculated against the reference standard of liver disease. Rates of consultations, blood tests, and referrals within 6 months following testing were measured. RESULTS The 1-year incidence of liver disease in patients with hypertension was 0.5% (95% confidence interval [CI] = 0.4% to 0.6%). Sensitivity and specificity of an LFT panel were modest: 61.3% (95% CI = 53.1% to 69.0%) and 73.8% (95% CI = 73.1% to 74.3%), respectively. The positive predictive value (PPV) of the eight individual LFT analytes were low ranging from 0.2% to 8.9%. Among patients who did not develop liver disease, mean number of consultations, referrals, and tests were higher in the 6 months following false-positives at 10.5, 0.7 and 29.8, respectively, compared with true-negatives: 8.6, 0.6, and 19.8. CONCLUSION PPVs of LFTs in primary care were low, with high rates of false-positive results and increased rates of subsequent consultations, referrals, and blood testing. Avoiding LFTs for routine monitoring could potentially reduce patients' anxiety, GP workload, and healthcare costs.
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Affiliation(s)
- Thuraiya Al Harthi
- Research Department, The Royal Hospital, Ministry of Health, Muscat, Oman
| | - Penny Whiting
- Population Health Sciences, Bristol Medical School, University of Bristol, Bristol, UK
| | - Jessica Watson
- Centre for Academic Primary Care, Bristol Medical School, University of Bristol, Bristol, UK
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3
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Tomlinson E, Jones HE, James R, Cooper C, Stokes C, Begum S, Watson J, Hay AD, Ward M, Thom H, Whiting P. Clinical effectiveness of point of care tests for diagnosing urinary tract infection: a systematic review. Clin Microbiol Infect 2024; 30:197-205. [PMID: 37839580 DOI: 10.1016/j.cmi.2023.10.005] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/18/2023] [Revised: 08/23/2023] [Accepted: 10/06/2023] [Indexed: 10/17/2023]
Abstract
BACKGROUND Point of care tests (POCTs) have the potential to improve the urinary tract infection (UTI) diagnostic pathway, as they can provide a diagnosis quickly in near-patient settings, and some also identify causative pathogens/antimicrobial sensitivity. OBJECTIVES To assess the clinical impact, accuracy, and technical characteristics of POCT for diagnosing UTI. METHODS OF DATA SYNTHESIS Narrative summary and bivariate random effects meta-analyses to estimate summary sensitivity and specificity. DATA SOURCES Five electronic databases, two clinical trial registries, study reports and review reference lists, and websites. STUDY ELIGIBILITY CRITERIA Randomized controlled trials/non-randomized studies and diagnostic test accuracy studies published since 2000. PARTICIPANTS People with suspected UTI. TESTS Rapid tests (results <40 minutes): Astrego PA-100 system, Lodestar DX, Uriscreen, UTRiPLEX. Culture tests (results <24 hours): Flexicult Human, ID Flexicult, Diaslide, Dipstreak, Chromostreak, Uricult, Uricult Trio, Uricult Plus. REFERENCE STANDARD Any. ASSESSMENT OF RISK OF BIAS Risk of Bias-2, Quality Assessment of Diagnostic Accuracy Studies-2, Quality Assessment of Diagnostic Accuracy Studies-C. RESULTS Two randomized controlled trials evaluated Flexicult Human (one against standard care; one against ID Flexicult). No difference was reported in antibiotic use concordant with culture results (OR 0.84 95% CI 0.58-1.20) or appropriate antibiotic prescribing (OR 1.44 95% CI 1.03-1.99). Initial antibiotic prescribing was lower with Flexicult than standard care (OR 0.56 95% CI 0.35-0.88). No difference for other measures of antibiotic use, symptom duration, patient enablement, or resource use. Fifteen studies reported accuracy data. Limited data were available, with most POCT evaluated in single studies or not evaluated at all. Uriscreen (four studies), Uricult Trio (three studies), Flexicult Human (four studies), and ID Flexicult (two studies) had modest sensitivity and specificity. POCTs were easier to use and interpret than standard culture. CONCLUSIONS There is currently insufficient evidence to support the use of POCTs in UTI diagnosis. Due to the rapid development of POCT, this review should be updated regularly.
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Affiliation(s)
- Eve Tomlinson
- Population Health Sciences, Bristol Medical School, University of Bristol, Bristol, UK.
| | - Hayley E Jones
- Population Health Sciences, Bristol Medical School, University of Bristol, Bristol, UK
| | - Rachel James
- Population Health Sciences, Bristol Medical School, University of Bristol, Bristol, UK
| | - Chris Cooper
- Population Health Sciences, Bristol Medical School, University of Bristol, Bristol, UK
| | | | | | - Jessica Watson
- Centre for Academic Primary Care, Population Health Sciences, Bristol Medical School, University of Bristol, Bristol, UK
| | - Alastair D Hay
- Centre for Academic Primary Care, Population Health Sciences, Bristol Medical School, University of Bristol, Bristol, UK
| | - Mary Ward
- Population Health Sciences, Bristol Medical School, University of Bristol, Bristol, UK
| | - Howard Thom
- Population Health Sciences, Bristol Medical School, University of Bristol, Bristol, UK
| | - Penny Whiting
- Population Health Sciences, Bristol Medical School, University of Bristol, Bristol, UK
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4
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Lunny C, Veroniki AA, Higgins JPT, Dias S, Hutton B, Wright JM, White IR, Whiting P, Tricco AC. Methodological review of NMA bias concepts provides groundwork for the development of a list of concepts for potential inclusion in a new risk of bias tool for network meta-analysis (RoB NMA Tool). Syst Rev 2024; 13:25. [PMID: 38217041 PMCID: PMC10785511 DOI: 10.1186/s13643-023-02388-x] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/18/2022] [Accepted: 11/10/2023] [Indexed: 01/14/2024] Open
Abstract
INTRODUCTION Network meta-analyses (NMAs) have gained popularity and grown in number due to their ability to provide estimates of the comparative effectiveness of multiple treatments for the same condition. The aim of this study is to conduct a methodological review to compile a preliminary list of concepts related to bias in NMAs. METHODS AND ANALYSIS We included papers that present items related to bias, reporting or methodological quality, papers assessing the quality of NMAs, or method papers. We searched MEDLINE, the Cochrane Library and unpublished literature (up to July 2020). We extracted items related to bias in NMAs. An item was excluded if it related to general systematic review quality or bias and was included in currently available tools such as ROBIS or AMSTAR 2. We reworded items, typically structured as questions, into concepts (i.e. general notions). RESULTS One hundred eighty-one articles were assessed in full text and 58 were included. Of these articles, 12 were tools, checklists or journal standards; 13 were guidance documents for NMAs; 27 were studies related to bias or NMA methods; and 6 were papers assessing the quality of NMAs. These studies yielded 99 items of which the majority related to general systematic review quality and biases and were therefore excluded. The 22 items we included were reworded into concepts specific to bias in NMAs. CONCLUSIONS A list of 22 concepts was included. This list is not intended to be used to assess biases in NMAs, but to inform the development of items to be included in our tool.
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Affiliation(s)
- Carole Lunny
- Knowledge Translation Program, Li Ka Shing Knowledge Institute, St. Michael's Hospital, Unity Health Toronto, 209 Victoria Street, East Building, Toronto, ON, M5B 1T8, Canada.
- Cochrane Hypertension Review Group, the Therapeutics Initiative, University of British Columbia, Vancouver, Canada.
| | - Areti-Angeliki Veroniki
- Knowledge Translation Program, Li Ka Shing Knowledge Institute, St. Michael's Hospital, Unity Health Toronto, 209 Victoria Street, East Building, Toronto, ON, M5B 1T8, Canada
| | - Julian P T Higgins
- Population Health Sciences, Bristol Medical School, University of Bristol, Bristol, UK
- NIHR Bristol Biomedical Research Centre at University Hospitals Bristol and Weston NHS Foundation Trust and the University of Bristol, Bristol, UK
- NIHR Applied Research Collaboration West (ARC West) at University Hospitals Bristol and Weston NHS Foundation Trust, Bristol, UK
| | - Sofia Dias
- Centre for Reviews and Dissemination, University of York, York, UK
| | - Brian Hutton
- Ottawa Hospital Research Institute, Ottawa, Canada
- Ottawa University, School of Epidemiology and Public Health, Ottawa, Canada
| | - James M Wright
- Cochrane Hypertension Review Group, the Therapeutics Initiative, University of British Columbia, Vancouver, Canada
| | | | - Penny Whiting
- Population Health Sciences, Bristol Medical School, University of Bristol, Bristol, UK
| | - Andrea C Tricco
- Knowledge Translation Program, Li Ka Shing Knowledge Institute, St. Michael's Hospital, Unity Health Toronto, 209 Victoria Street, East Building, Toronto, ON, M5B 1T8, Canada
- Dalla Lana School of Public Health & Institute of Health Policy, Management, and Evaluation, University of Toronto, Toronto, Canada
- Queen's Collaboration for Health Care Quality Joanna Briggs Institute Centre of Excellence, Queen's University, Kingston, Canada
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5
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Nankervis H, Huntley A, Whiting P, Hamilton W, Singh H, Dawson S, Sprackman J, Ferguson Montague A, Watson J. Blood test result communication in primary care: mixed-methods systematic review protocol. BJGP Open 2023; 7:BJGPO.2023.0105. [PMID: 37407088 DOI: 10.3399/bjgpo.2023.0105] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/06/2023] [Revised: 06/06/2023] [Accepted: 06/19/2023] [Indexed: 07/07/2023] Open
Abstract
BACKGROUND After testing, ensuring test results are communicated and actioned is important for patient safety, with failure or delay in diagnosis the most common cause of malpractice claims in primary care worldwide. Identifying interventions to improve test communication from the decision to test through to sharing of results has important implications for patient safety, GP workload, and patient engagement. AIM To assess the factors around communication of blood test results between primary care providers (for example GPs, nurses, reception staff) and their patients and carers. DESIGN & SETTING A mixed methods systematic review including primary studies involving communication of blood test results in primary care. METHOD The review will use a segregated convergent synthesis method. Qualitative information will be synthesised using a meta-aggregative approach, and quantitative data will be meta-analysed or synthesised if pooling of studies is appropriate and data are available. If not, data will be presented in tabular and descriptive summary form. CONCLUSION This review has the potential to provide conclusions about blood test result communication interventions and factors important to stakeholders, including barriers and facilitators to improved communication.
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6
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Tanner J, Brierley Jones L, Rochon M, Westwood N, Wloch C, Vaja R, Rogers L, Dearling J, Wilson K, Magboo R, Aujla H, Page S, Whiting P, Murphy G, Brown C, Lamagni T, Harrington P. Barriers and facilitators for surgical site infection surveillance for adult cardiac surgery in a high-income setting: an in-depth exploration. J Hosp Infect 2023; 141:112-118. [PMID: 37734675 DOI: 10.1016/j.jhin.2023.08.023] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/25/2023] [Revised: 08/02/2023] [Accepted: 08/10/2023] [Indexed: 09/23/2023]
Abstract
BACKGROUND Surgical site infection (SSI) surveillance aims to facilitate a reduction in SSIs through identifying infection rates, benchmarking, triggering clinical review and instituting infection control measures. Participation in surveillance is, however, variable suggesting opportunities to improve wider adoption. AIM To gain an in-depth understanding of the barriers and facilitators for SSI surveillance in a high-income European setting. METHODS Key informant interviews with 16 surveillance staff, infection prevention staff, nurses and surgeons from nine cardiac hospitals in England. Data were analysed thematically. FINDINGS SSI surveillance was reported to be resource intensive. Barriers to surveillance included challenges associated with data collection: data being located in numerous places, multiple SSI data reporting schemes, difficulty in finding denominator data, lack of interface between computerized systems, 'labour intensive' or 'antiquated' methods to collect data (e.g., using postal systems for patient questionnaires). Additional reported concerns included: relevance of definitions, perceived variability in data reporting, lack of surgeon engagement, unsupportive managers, low priority of SSIs among staff, and a 'blame culture' around high SSI rates. Facilitators were increased resources, better use of digital technologies (e.g., remote digital wound monitoring), integrating surveillance within routine clinical work, having champions, mandating surveillance, ensuring a closer relationship between surveillance and improved patient outcomes, increasing the focus on post-discharge surveillance, and integration with primary care data. CONCLUSION Using novel interviews with 'front-line' staff, identified opportunities for improving participation in SSI surveillance. Translating these findings into action will increase surveillance activity and bring patient safety benefits to a larger pool of surgical patients.
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Affiliation(s)
- J Tanner
- School of Health Sciences, University of Nottingham, Nottingham, UK.
| | - L Brierley Jones
- School of Health Sciences, University of Nottingham, Nottingham, UK
| | - M Rochon
- Directorate of Infection, Guy's and St Thomas' NHS Foundation Trust, London, UK
| | | | - C Wloch
- HCAI Fungal AMR AMU & Sepsis Division, UKHSA, London, UK
| | - R Vaja
- Department of Cardiothoracic Surgery, Brompton and Harefield Hospitals, Guy's and St Thomas' NHS Foundation Trust, London, UK
| | - L Rogers
- Department of Cardiothoracic Surgery, University Hospitals of Bristol and Weston NHS Foundation Trust
| | | | - K Wilson
- Patient and Public Representative, UK
| | - R Magboo
- Critical Care, Barts Health NHS Trust, London, UK
| | - H Aujla
- Department of Cardiovascular Sciences, University of Leicester, Leicester, UK
| | - S Page
- Department of Cardiovascular Sciences, University of Leicester, Leicester, UK
| | - P Whiting
- Bristol Medical School, University of Bristol, Bristol, UK
| | - G Murphy
- Department of Cardiovascular Sciences, University of Leicester, Leicester, UK
| | - C Brown
- HCAI Fungal AMR AMU & Sepsis Division, UKHSA, London, UK
| | - T Lamagni
- HCAI Fungal AMR AMU & Sepsis Division, UKHSA, London, UK
| | - P Harrington
- HCAI Fungal AMR AMU & Sepsis Division, UKHSA, London, UK
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7
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Frank RA, Salameh JP, Islam N, Yang B, Murad MH, Mustafa R, Leeflang M, Bossuyt PM, Takwoingi Y, Whiting P, Dawit H, Kang SK, Ebrahimzadeh S, Levis B, Hutton B, McInnes MDF. How to Critically Appraise and Interpret Systematic Reviews and Meta-Analyses of Diagnostic Accuracy: A User Guide. Radiology 2023; 307:e221437. [PMID: 36916896 PMCID: PMC10140638 DOI: 10.1148/radiol.221437] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/19/2022] [Revised: 10/25/2022] [Accepted: 10/28/2022] [Indexed: 03/16/2023]
Abstract
Systematic reviews of diagnostic accuracy studies can provide the best available evidence to inform decisions regarding the use of a diagnostic test. In this guide, the authors provide a practical approach for clinicians to appraise diagnostic accuracy systematic reviews and apply their results to patient care. The first step is to identify an appropriate systematic review with a research question matching the clinical scenario. The user should evaluate the rigor of the review methods to evaluate its credibility (Did the review use clearly defined eligibility criteria, a comprehensive search strategy, structured data collection, risk of bias and applicability appraisal, and appropriate meta-analysis methods?). If the review is credible, the next step is to decide whether the diagnostic performance is adequate for clinical use (Do sensitivity and specificity estimates exceed the threshold that makes them useful in clinical practice? Are these estimates sufficiently precise? Is variability in the estimates of diagnostic accuracy across studies explained?). Diagnostic accuracy systematic reviews that are judged to be credible and provide diagnostic accuracy estimates with sufficient certainty and relevance are the most useful to inform patient care. This review discusses comparative, noncomparative, and emerging approaches to systematic reviews of diagnostic accuracy using a clinical scenario and examples based on recent publications.
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Affiliation(s)
| | | | - Nayaar Islam
- From the Department of Radiology, University of Ottawa, The Ottawa
Hospital Civic Campus, 1053 Carling Ave, Room c159, Ottawa, ON, Canada K1Y 4E9
(R.A.F., M.D.F.M.); Faculty of Health Sciences, Queen’s University,
Kingston, Ontario, Canada (J.P.S.); Clinical Epidemiology Program, Ottawa
Hospital Research Institute, University of Ottawa, Ottawa, Canada (N.I., M.H.M.,
H.D., S.E., B.H.); Julius Center for Health Sciences and Primary Care,
University Medical Center Utrecht, Utrecht University, Utrecht, the Netherlands
(B.Y.); Evidence-Based Practice Center, Mayo Clinic, Rochester, Minn (M.H.M.);
Department of Medicine, Division of Nephrology and Hypertension, University of
Kansas Medical Center, Kansas City, Mo (R.M.); Department of Epidemiology and
Data Science, Amsterdam UMC, University of Amsterdam, Amsterdam, the Netherlands
(M.L., P.M.B.); Amsterdam Public Health, Amsterdam, the Netherlands (P.M.B.);
Institute of Applied Health Research, University of Birmingham, Birmingham, UK
(Y.T.); NIHR Birmingham Biomedical Research Centre, University Hospitals
Birmingham NHS Foundation Trust and University of Birmingham, Birmingham, UK
(Y.T.); Population Health Sciences, Bristol Medical School, University of
Bristol, Bristol, UK (P.W.); Department of Radiology, NYU Langone Health, New
York, NY (S.K.K.); and Centre for Clinical Epidemiology, Lady Davis Institute
for Medical Research, Jewish General Hospital, Montréal, Canada
(B.L.)
| | - Bada Yang
- From the Department of Radiology, University of Ottawa, The Ottawa
Hospital Civic Campus, 1053 Carling Ave, Room c159, Ottawa, ON, Canada K1Y 4E9
(R.A.F., M.D.F.M.); Faculty of Health Sciences, Queen’s University,
Kingston, Ontario, Canada (J.P.S.); Clinical Epidemiology Program, Ottawa
Hospital Research Institute, University of Ottawa, Ottawa, Canada (N.I., M.H.M.,
H.D., S.E., B.H.); Julius Center for Health Sciences and Primary Care,
University Medical Center Utrecht, Utrecht University, Utrecht, the Netherlands
(B.Y.); Evidence-Based Practice Center, Mayo Clinic, Rochester, Minn (M.H.M.);
Department of Medicine, Division of Nephrology and Hypertension, University of
Kansas Medical Center, Kansas City, Mo (R.M.); Department of Epidemiology and
Data Science, Amsterdam UMC, University of Amsterdam, Amsterdam, the Netherlands
(M.L., P.M.B.); Amsterdam Public Health, Amsterdam, the Netherlands (P.M.B.);
Institute of Applied Health Research, University of Birmingham, Birmingham, UK
(Y.T.); NIHR Birmingham Biomedical Research Centre, University Hospitals
Birmingham NHS Foundation Trust and University of Birmingham, Birmingham, UK
(Y.T.); Population Health Sciences, Bristol Medical School, University of
Bristol, Bristol, UK (P.W.); Department of Radiology, NYU Langone Health, New
York, NY (S.K.K.); and Centre for Clinical Epidemiology, Lady Davis Institute
for Medical Research, Jewish General Hospital, Montréal, Canada
(B.L.)
| | - Mohammad Hassan Murad
- From the Department of Radiology, University of Ottawa, The Ottawa
Hospital Civic Campus, 1053 Carling Ave, Room c159, Ottawa, ON, Canada K1Y 4E9
(R.A.F., M.D.F.M.); Faculty of Health Sciences, Queen’s University,
Kingston, Ontario, Canada (J.P.S.); Clinical Epidemiology Program, Ottawa
Hospital Research Institute, University of Ottawa, Ottawa, Canada (N.I., M.H.M.,
H.D., S.E., B.H.); Julius Center for Health Sciences and Primary Care,
University Medical Center Utrecht, Utrecht University, Utrecht, the Netherlands
(B.Y.); Evidence-Based Practice Center, Mayo Clinic, Rochester, Minn (M.H.M.);
Department of Medicine, Division of Nephrology and Hypertension, University of
Kansas Medical Center, Kansas City, Mo (R.M.); Department of Epidemiology and
Data Science, Amsterdam UMC, University of Amsterdam, Amsterdam, the Netherlands
(M.L., P.M.B.); Amsterdam Public Health, Amsterdam, the Netherlands (P.M.B.);
Institute of Applied Health Research, University of Birmingham, Birmingham, UK
(Y.T.); NIHR Birmingham Biomedical Research Centre, University Hospitals
Birmingham NHS Foundation Trust and University of Birmingham, Birmingham, UK
(Y.T.); Population Health Sciences, Bristol Medical School, University of
Bristol, Bristol, UK (P.W.); Department of Radiology, NYU Langone Health, New
York, NY (S.K.K.); and Centre for Clinical Epidemiology, Lady Davis Institute
for Medical Research, Jewish General Hospital, Montréal, Canada
(B.L.)
| | - Reem Mustafa
- From the Department of Radiology, University of Ottawa, The Ottawa
Hospital Civic Campus, 1053 Carling Ave, Room c159, Ottawa, ON, Canada K1Y 4E9
(R.A.F., M.D.F.M.); Faculty of Health Sciences, Queen’s University,
Kingston, Ontario, Canada (J.P.S.); Clinical Epidemiology Program, Ottawa
Hospital Research Institute, University of Ottawa, Ottawa, Canada (N.I., M.H.M.,
H.D., S.E., B.H.); Julius Center for Health Sciences and Primary Care,
University Medical Center Utrecht, Utrecht University, Utrecht, the Netherlands
(B.Y.); Evidence-Based Practice Center, Mayo Clinic, Rochester, Minn (M.H.M.);
Department of Medicine, Division of Nephrology and Hypertension, University of
Kansas Medical Center, Kansas City, Mo (R.M.); Department of Epidemiology and
Data Science, Amsterdam UMC, University of Amsterdam, Amsterdam, the Netherlands
(M.L., P.M.B.); Amsterdam Public Health, Amsterdam, the Netherlands (P.M.B.);
Institute of Applied Health Research, University of Birmingham, Birmingham, UK
(Y.T.); NIHR Birmingham Biomedical Research Centre, University Hospitals
Birmingham NHS Foundation Trust and University of Birmingham, Birmingham, UK
(Y.T.); Population Health Sciences, Bristol Medical School, University of
Bristol, Bristol, UK (P.W.); Department of Radiology, NYU Langone Health, New
York, NY (S.K.K.); and Centre for Clinical Epidemiology, Lady Davis Institute
for Medical Research, Jewish General Hospital, Montréal, Canada
(B.L.)
| | - Mariska Leeflang
- From the Department of Radiology, University of Ottawa, The Ottawa
Hospital Civic Campus, 1053 Carling Ave, Room c159, Ottawa, ON, Canada K1Y 4E9
(R.A.F., M.D.F.M.); Faculty of Health Sciences, Queen’s University,
Kingston, Ontario, Canada (J.P.S.); Clinical Epidemiology Program, Ottawa
Hospital Research Institute, University of Ottawa, Ottawa, Canada (N.I., M.H.M.,
H.D., S.E., B.H.); Julius Center for Health Sciences and Primary Care,
University Medical Center Utrecht, Utrecht University, Utrecht, the Netherlands
(B.Y.); Evidence-Based Practice Center, Mayo Clinic, Rochester, Minn (M.H.M.);
Department of Medicine, Division of Nephrology and Hypertension, University of
Kansas Medical Center, Kansas City, Mo (R.M.); Department of Epidemiology and
Data Science, Amsterdam UMC, University of Amsterdam, Amsterdam, the Netherlands
(M.L., P.M.B.); Amsterdam Public Health, Amsterdam, the Netherlands (P.M.B.);
Institute of Applied Health Research, University of Birmingham, Birmingham, UK
(Y.T.); NIHR Birmingham Biomedical Research Centre, University Hospitals
Birmingham NHS Foundation Trust and University of Birmingham, Birmingham, UK
(Y.T.); Population Health Sciences, Bristol Medical School, University of
Bristol, Bristol, UK (P.W.); Department of Radiology, NYU Langone Health, New
York, NY (S.K.K.); and Centre for Clinical Epidemiology, Lady Davis Institute
for Medical Research, Jewish General Hospital, Montréal, Canada
(B.L.)
| | - Patrick M. Bossuyt
- From the Department of Radiology, University of Ottawa, The Ottawa
Hospital Civic Campus, 1053 Carling Ave, Room c159, Ottawa, ON, Canada K1Y 4E9
(R.A.F., M.D.F.M.); Faculty of Health Sciences, Queen’s University,
Kingston, Ontario, Canada (J.P.S.); Clinical Epidemiology Program, Ottawa
Hospital Research Institute, University of Ottawa, Ottawa, Canada (N.I., M.H.M.,
H.D., S.E., B.H.); Julius Center for Health Sciences and Primary Care,
University Medical Center Utrecht, Utrecht University, Utrecht, the Netherlands
(B.Y.); Evidence-Based Practice Center, Mayo Clinic, Rochester, Minn (M.H.M.);
Department of Medicine, Division of Nephrology and Hypertension, University of
Kansas Medical Center, Kansas City, Mo (R.M.); Department of Epidemiology and
Data Science, Amsterdam UMC, University of Amsterdam, Amsterdam, the Netherlands
(M.L., P.M.B.); Amsterdam Public Health, Amsterdam, the Netherlands (P.M.B.);
Institute of Applied Health Research, University of Birmingham, Birmingham, UK
(Y.T.); NIHR Birmingham Biomedical Research Centre, University Hospitals
Birmingham NHS Foundation Trust and University of Birmingham, Birmingham, UK
(Y.T.); Population Health Sciences, Bristol Medical School, University of
Bristol, Bristol, UK (P.W.); Department of Radiology, NYU Langone Health, New
York, NY (S.K.K.); and Centre for Clinical Epidemiology, Lady Davis Institute
for Medical Research, Jewish General Hospital, Montréal, Canada
(B.L.)
| | - Yemisi Takwoingi
- From the Department of Radiology, University of Ottawa, The Ottawa
Hospital Civic Campus, 1053 Carling Ave, Room c159, Ottawa, ON, Canada K1Y 4E9
(R.A.F., M.D.F.M.); Faculty of Health Sciences, Queen’s University,
Kingston, Ontario, Canada (J.P.S.); Clinical Epidemiology Program, Ottawa
Hospital Research Institute, University of Ottawa, Ottawa, Canada (N.I., M.H.M.,
H.D., S.E., B.H.); Julius Center for Health Sciences and Primary Care,
University Medical Center Utrecht, Utrecht University, Utrecht, the Netherlands
(B.Y.); Evidence-Based Practice Center, Mayo Clinic, Rochester, Minn (M.H.M.);
Department of Medicine, Division of Nephrology and Hypertension, University of
Kansas Medical Center, Kansas City, Mo (R.M.); Department of Epidemiology and
Data Science, Amsterdam UMC, University of Amsterdam, Amsterdam, the Netherlands
(M.L., P.M.B.); Amsterdam Public Health, Amsterdam, the Netherlands (P.M.B.);
Institute of Applied Health Research, University of Birmingham, Birmingham, UK
(Y.T.); NIHR Birmingham Biomedical Research Centre, University Hospitals
Birmingham NHS Foundation Trust and University of Birmingham, Birmingham, UK
(Y.T.); Population Health Sciences, Bristol Medical School, University of
Bristol, Bristol, UK (P.W.); Department of Radiology, NYU Langone Health, New
York, NY (S.K.K.); and Centre for Clinical Epidemiology, Lady Davis Institute
for Medical Research, Jewish General Hospital, Montréal, Canada
(B.L.)
| | - Penny Whiting
- From the Department of Radiology, University of Ottawa, The Ottawa
Hospital Civic Campus, 1053 Carling Ave, Room c159, Ottawa, ON, Canada K1Y 4E9
(R.A.F., M.D.F.M.); Faculty of Health Sciences, Queen’s University,
Kingston, Ontario, Canada (J.P.S.); Clinical Epidemiology Program, Ottawa
Hospital Research Institute, University of Ottawa, Ottawa, Canada (N.I., M.H.M.,
H.D., S.E., B.H.); Julius Center for Health Sciences and Primary Care,
University Medical Center Utrecht, Utrecht University, Utrecht, the Netherlands
(B.Y.); Evidence-Based Practice Center, Mayo Clinic, Rochester, Minn (M.H.M.);
Department of Medicine, Division of Nephrology and Hypertension, University of
Kansas Medical Center, Kansas City, Mo (R.M.); Department of Epidemiology and
Data Science, Amsterdam UMC, University of Amsterdam, Amsterdam, the Netherlands
(M.L., P.M.B.); Amsterdam Public Health, Amsterdam, the Netherlands (P.M.B.);
Institute of Applied Health Research, University of Birmingham, Birmingham, UK
(Y.T.); NIHR Birmingham Biomedical Research Centre, University Hospitals
Birmingham NHS Foundation Trust and University of Birmingham, Birmingham, UK
(Y.T.); Population Health Sciences, Bristol Medical School, University of
Bristol, Bristol, UK (P.W.); Department of Radiology, NYU Langone Health, New
York, NY (S.K.K.); and Centre for Clinical Epidemiology, Lady Davis Institute
for Medical Research, Jewish General Hospital, Montréal, Canada
(B.L.)
| | - Haben Dawit
- From the Department of Radiology, University of Ottawa, The Ottawa
Hospital Civic Campus, 1053 Carling Ave, Room c159, Ottawa, ON, Canada K1Y 4E9
(R.A.F., M.D.F.M.); Faculty of Health Sciences, Queen’s University,
Kingston, Ontario, Canada (J.P.S.); Clinical Epidemiology Program, Ottawa
Hospital Research Institute, University of Ottawa, Ottawa, Canada (N.I., M.H.M.,
H.D., S.E., B.H.); Julius Center for Health Sciences and Primary Care,
University Medical Center Utrecht, Utrecht University, Utrecht, the Netherlands
(B.Y.); Evidence-Based Practice Center, Mayo Clinic, Rochester, Minn (M.H.M.);
Department of Medicine, Division of Nephrology and Hypertension, University of
Kansas Medical Center, Kansas City, Mo (R.M.); Department of Epidemiology and
Data Science, Amsterdam UMC, University of Amsterdam, Amsterdam, the Netherlands
(M.L., P.M.B.); Amsterdam Public Health, Amsterdam, the Netherlands (P.M.B.);
Institute of Applied Health Research, University of Birmingham, Birmingham, UK
(Y.T.); NIHR Birmingham Biomedical Research Centre, University Hospitals
Birmingham NHS Foundation Trust and University of Birmingham, Birmingham, UK
(Y.T.); Population Health Sciences, Bristol Medical School, University of
Bristol, Bristol, UK (P.W.); Department of Radiology, NYU Langone Health, New
York, NY (S.K.K.); and Centre for Clinical Epidemiology, Lady Davis Institute
for Medical Research, Jewish General Hospital, Montréal, Canada
(B.L.)
| | - Stella K. Kang
- From the Department of Radiology, University of Ottawa, The Ottawa
Hospital Civic Campus, 1053 Carling Ave, Room c159, Ottawa, ON, Canada K1Y 4E9
(R.A.F., M.D.F.M.); Faculty of Health Sciences, Queen’s University,
Kingston, Ontario, Canada (J.P.S.); Clinical Epidemiology Program, Ottawa
Hospital Research Institute, University of Ottawa, Ottawa, Canada (N.I., M.H.M.,
H.D., S.E., B.H.); Julius Center for Health Sciences and Primary Care,
University Medical Center Utrecht, Utrecht University, Utrecht, the Netherlands
(B.Y.); Evidence-Based Practice Center, Mayo Clinic, Rochester, Minn (M.H.M.);
Department of Medicine, Division of Nephrology and Hypertension, University of
Kansas Medical Center, Kansas City, Mo (R.M.); Department of Epidemiology and
Data Science, Amsterdam UMC, University of Amsterdam, Amsterdam, the Netherlands
(M.L., P.M.B.); Amsterdam Public Health, Amsterdam, the Netherlands (P.M.B.);
Institute of Applied Health Research, University of Birmingham, Birmingham, UK
(Y.T.); NIHR Birmingham Biomedical Research Centre, University Hospitals
Birmingham NHS Foundation Trust and University of Birmingham, Birmingham, UK
(Y.T.); Population Health Sciences, Bristol Medical School, University of
Bristol, Bristol, UK (P.W.); Department of Radiology, NYU Langone Health, New
York, NY (S.K.K.); and Centre for Clinical Epidemiology, Lady Davis Institute
for Medical Research, Jewish General Hospital, Montréal, Canada
(B.L.)
| | - Sanam Ebrahimzadeh
- From the Department of Radiology, University of Ottawa, The Ottawa
Hospital Civic Campus, 1053 Carling Ave, Room c159, Ottawa, ON, Canada K1Y 4E9
(R.A.F., M.D.F.M.); Faculty of Health Sciences, Queen’s University,
Kingston, Ontario, Canada (J.P.S.); Clinical Epidemiology Program, Ottawa
Hospital Research Institute, University of Ottawa, Ottawa, Canada (N.I., M.H.M.,
H.D., S.E., B.H.); Julius Center for Health Sciences and Primary Care,
University Medical Center Utrecht, Utrecht University, Utrecht, the Netherlands
(B.Y.); Evidence-Based Practice Center, Mayo Clinic, Rochester, Minn (M.H.M.);
Department of Medicine, Division of Nephrology and Hypertension, University of
Kansas Medical Center, Kansas City, Mo (R.M.); Department of Epidemiology and
Data Science, Amsterdam UMC, University of Amsterdam, Amsterdam, the Netherlands
(M.L., P.M.B.); Amsterdam Public Health, Amsterdam, the Netherlands (P.M.B.);
Institute of Applied Health Research, University of Birmingham, Birmingham, UK
(Y.T.); NIHR Birmingham Biomedical Research Centre, University Hospitals
Birmingham NHS Foundation Trust and University of Birmingham, Birmingham, UK
(Y.T.); Population Health Sciences, Bristol Medical School, University of
Bristol, Bristol, UK (P.W.); Department of Radiology, NYU Langone Health, New
York, NY (S.K.K.); and Centre for Clinical Epidemiology, Lady Davis Institute
for Medical Research, Jewish General Hospital, Montréal, Canada
(B.L.)
| | - Brooke Levis
- From the Department of Radiology, University of Ottawa, The Ottawa
Hospital Civic Campus, 1053 Carling Ave, Room c159, Ottawa, ON, Canada K1Y 4E9
(R.A.F., M.D.F.M.); Faculty of Health Sciences, Queen’s University,
Kingston, Ontario, Canada (J.P.S.); Clinical Epidemiology Program, Ottawa
Hospital Research Institute, University of Ottawa, Ottawa, Canada (N.I., M.H.M.,
H.D., S.E., B.H.); Julius Center for Health Sciences and Primary Care,
University Medical Center Utrecht, Utrecht University, Utrecht, the Netherlands
(B.Y.); Evidence-Based Practice Center, Mayo Clinic, Rochester, Minn (M.H.M.);
Department of Medicine, Division of Nephrology and Hypertension, University of
Kansas Medical Center, Kansas City, Mo (R.M.); Department of Epidemiology and
Data Science, Amsterdam UMC, University of Amsterdam, Amsterdam, the Netherlands
(M.L., P.M.B.); Amsterdam Public Health, Amsterdam, the Netherlands (P.M.B.);
Institute of Applied Health Research, University of Birmingham, Birmingham, UK
(Y.T.); NIHR Birmingham Biomedical Research Centre, University Hospitals
Birmingham NHS Foundation Trust and University of Birmingham, Birmingham, UK
(Y.T.); Population Health Sciences, Bristol Medical School, University of
Bristol, Bristol, UK (P.W.); Department of Radiology, NYU Langone Health, New
York, NY (S.K.K.); and Centre for Clinical Epidemiology, Lady Davis Institute
for Medical Research, Jewish General Hospital, Montréal, Canada
(B.L.)
| | - Brian Hutton
- From the Department of Radiology, University of Ottawa, The Ottawa
Hospital Civic Campus, 1053 Carling Ave, Room c159, Ottawa, ON, Canada K1Y 4E9
(R.A.F., M.D.F.M.); Faculty of Health Sciences, Queen’s University,
Kingston, Ontario, Canada (J.P.S.); Clinical Epidemiology Program, Ottawa
Hospital Research Institute, University of Ottawa, Ottawa, Canada (N.I., M.H.M.,
H.D., S.E., B.H.); Julius Center for Health Sciences and Primary Care,
University Medical Center Utrecht, Utrecht University, Utrecht, the Netherlands
(B.Y.); Evidence-Based Practice Center, Mayo Clinic, Rochester, Minn (M.H.M.);
Department of Medicine, Division of Nephrology and Hypertension, University of
Kansas Medical Center, Kansas City, Mo (R.M.); Department of Epidemiology and
Data Science, Amsterdam UMC, University of Amsterdam, Amsterdam, the Netherlands
(M.L., P.M.B.); Amsterdam Public Health, Amsterdam, the Netherlands (P.M.B.);
Institute of Applied Health Research, University of Birmingham, Birmingham, UK
(Y.T.); NIHR Birmingham Biomedical Research Centre, University Hospitals
Birmingham NHS Foundation Trust and University of Birmingham, Birmingham, UK
(Y.T.); Population Health Sciences, Bristol Medical School, University of
Bristol, Bristol, UK (P.W.); Department of Radiology, NYU Langone Health, New
York, NY (S.K.K.); and Centre for Clinical Epidemiology, Lady Davis Institute
for Medical Research, Jewish General Hospital, Montréal, Canada
(B.L.)
| | - Matthew D. F. McInnes
- From the Department of Radiology, University of Ottawa, The Ottawa
Hospital Civic Campus, 1053 Carling Ave, Room c159, Ottawa, ON, Canada K1Y 4E9
(R.A.F., M.D.F.M.); Faculty of Health Sciences, Queen’s University,
Kingston, Ontario, Canada (J.P.S.); Clinical Epidemiology Program, Ottawa
Hospital Research Institute, University of Ottawa, Ottawa, Canada (N.I., M.H.M.,
H.D., S.E., B.H.); Julius Center for Health Sciences and Primary Care,
University Medical Center Utrecht, Utrecht University, Utrecht, the Netherlands
(B.Y.); Evidence-Based Practice Center, Mayo Clinic, Rochester, Minn (M.H.M.);
Department of Medicine, Division of Nephrology and Hypertension, University of
Kansas Medical Center, Kansas City, Mo (R.M.); Department of Epidemiology and
Data Science, Amsterdam UMC, University of Amsterdam, Amsterdam, the Netherlands
(M.L., P.M.B.); Amsterdam Public Health, Amsterdam, the Netherlands (P.M.B.);
Institute of Applied Health Research, University of Birmingham, Birmingham, UK
(Y.T.); NIHR Birmingham Biomedical Research Centre, University Hospitals
Birmingham NHS Foundation Trust and University of Birmingham, Birmingham, UK
(Y.T.); Population Health Sciences, Bristol Medical School, University of
Bristol, Bristol, UK (P.W.); Department of Radiology, NYU Langone Health, New
York, NY (S.K.K.); and Centre for Clinical Epidemiology, Lady Davis Institute
for Medical Research, Jewish General Hospital, Montréal, Canada
(B.L.)
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8
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Page MJ, McKenzie JE, Bossuyt PM, Boutron I, Hoffmann TC, Mulrow CD, Shamseer L, Tetzlaff JM, Akl EA, Brennan SE, Chou R, Glanville J, Grimshaw JM, Hróbjartsson A, Lalu MM, Li T, Loder EW, Mayo-Wilson E, McDonald S, McGuinness LA, Stewart LA, Thomas J, Tricco AC, Welch VA, Whiting P, Moher D. [The PRISMA 2020 statement: an updated guideline for reporting systematic reviewsDeclaración PRISMA 2020: una guía actualizada para la publicación de revisiones sistemáticas]. Rev Panam Salud Publica 2022; 46:e112. [PMID: 36601438 PMCID: PMC9798848 DOI: 10.26633/rpsp.2022.112] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 01/04/2021] [Indexed: 12/30/2022] Open
Abstract
The Preferred Reporting Items for Systematic reviews and Meta-Analyses (PRISMA) statement, published in 2009, was designed to help systematic reviewers transparently report why the review was done, what the authors did, and what they found. Over the past decade, advances in systematic review methodology and terminology have necessitated an update to the guideline. The PRISMA 2020 statement replaces the 2009 statement and includes new reporting guidance that reflects advances in methods to identify, select, appraise, and synthesise studies. The structure and presentation of the items have been modified to facilitate implementation. In this article, we present the PRISMA 2020 27-item checklist, an expanded checklist that details reporting recommendations for each item, the PRISMA 2020 abstract checklist, and the revised flow diagrams for original and updated reviews.
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Affiliation(s)
- Matthew J. Page
- Monash UniversitySchool of Public Health and Preventive MedicineMelbourneAustráliaMonash University, School of Public Health and Preventive Medicine, Melbourne, Austrália,Matthew J Page,
| | - Joanne E. McKenzie
- Monash UniversitySchool of Public Health and Preventive MedicineMelbourneAustráliaMonash University, School of Public Health and Preventive Medicine, Melbourne, Austrália
| | - Patrick M. Bossuyt
- University of AmsterdamAmsterdam University Medical CentresAmsterdãHolandaUniversity of Amsterdam, Amsterdam University Medical Centres, Amsterdã, Holanda.
| | - Isabelle Boutron
- Université de ParisCentre of Epidemiology and StatisticsParisFrançaUniversité de Paris, Centre of Epidemiology and Statistics, Paris, França
| | - Tammy C. Hoffmann
- Bond UniversityFaculty of Health Sciences and MedicineGold CoastAustráliaBond University, Faculty of Health Sciences and Medicine, Gold Coast, Austrália
| | - Cynthia D. Mulrow
- University of Texas Health Science Center at San AntonioSan AntonioTexasEstados UnidosUniversity of Texas Health Science Center at San Antonio, San Antonio, Texas, Estados Unidos
| | - Larissa Shamseer
- University of OttawaSchool of Epidemiology and Public HealthOttawaCanadáUniversity of Ottawa, School of Epidemiology and Public Health, Ottawa, Canadá
| | | | - Elie A. Akl
- American University of BeirutClinical Research InstituteBeiruteLíbanoAmerican University of Beirut, Clinical Research Institute, Beirute, Líbano
| | - Sue E. Brennan
- Monash UniversitySchool of Public Health and Preventive MedicineMelbourneAustráliaMonash University, School of Public Health and Preventive Medicine, Melbourne, Austrália
| | - Roger Chou
- Oregon Health & Science UniversityDepartment of Medical Informatics and Clinical EpidemiologyPortlandOregonEstados UnidosOregon Health & Science University, Department of Medical Informatics and Clinical Epidemiology, Portland, Oregon, Estados Unidos
| | - Julie Glanville
- University of YorkYork Health Economics ConsortiumYorkReino UnidoUniversity of York, York Health Economics Consortium, York, Reino Unido
| | - Jeremy M. Grimshaw
- Ottawa Hospital Research InstituteClinical Epidemiology ProgramOttawaCanadáOttawa Hospital Research Institute, Clinical Epidemiology Program, Ottawa, Canadá
| | - Asbjørn Hróbjartsson
- University of Southern DenmarkDepartment of Clinical ResearchOdenseDinamarcaUniversity of Southern Denmark, Department of Clinical Research, Odense, Dinamarca
| | - Manoj M. Lalu
- Ottawa HospitalDepartment of Anesthesiology and Pain MedicineOttawaCanadáOttawa Hospital, Department of Anesthesiology and Pain Medicine, Ottawa, Canadá
| | - Tianjing Li
- University of Colorado DenverSchool of MedicineDenverCloradoUnited StatesUniversity of Colorado Denver, School of Medicine, Denver, Colorado, United States
| | - Elizabeth W. Loder
- Harvard Medical SchoolBrigham and Women’s HospitalBostonMassachusettsEstados UnidosHarvard Medical School, Brigham and Women’s Hospital, Boston, Massachusetts, Estados Unidos
| | - Evan Mayo-Wilson
- Indiana University School of Public Health-BloomingtonDepartment of Epidemiology and BiostatisticsBloomingtonIndianaEstados UnidosIndiana University School of Public Health-Bloomington, Department of Epidemiology and Biostatistics, Bloomington, Indiana, Estados Unidos
| | - Steve McDonald
- Monash UniversitySchool of Public Health and Preventive MedicineMelbourneAustráliaMonash University, School of Public Health and Preventive Medicine, Melbourne, Austrália
| | - Luke A. McGuinness
- University of BristolBristol Medical SchoolBristolReino UnidoUniversity of Bristol, Bristol Medical School, Bristol, Reino Unido
| | - Lesley A. Stewart
- University of YorkCentre for Reviews and DisseminationYorkReino UnidoUniversity of York, Centre for Reviews and Dissemination, York, Reino Unido
| | - James Thomas
- University College LondonSocial Research InstituteLondonReino UnidoUniversity College London, Social Research Institute, London, Reino Unido
| | - Andrea C. Tricco
- University of TorontoInstitute of Health Management, Policy, and EvaluationTorontoCanadáUniversity of Toronto, Institute of Health Management, Policy, and Evaluation, Toronto, Canadá
| | - Vivian A. Welch
- Bruyère Research InstituteMethods CentreOttawaOntarioCanadáBruyère Research Institute, Methods Centre, Ottawa, Ontario, Canadá
| | - Penny Whiting
- University of BristolBristol Medical SchoolBristolReino UnidoUniversity of Bristol, Bristol Medical School, Bristol, Reino Unido
| | - David Moher
- Ottawa Hospital Research Institutecentre for JournalologyOttawaCanadáOttawa Hospital Research Institute, centre for Journalology, Ottawa, Canadá
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9
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Gates M, Gates A, Pieper D, Fernandes RM, Tricco AC, Moher D, Brennan SE, Li T, Pollock M, Lunny C, Sepúlveda D, McKenzie JE, Scott SD, Robinson KA, Matthias K, Bougioukas KI, Fusar-Poli P, Whiting P, Moss SJ, Hartling L. Reporting guideline for overviews of reviews of healthcare interventions: development of the PRIOR statement. BMJ 2022; 378:e070849. [PMID: 35944924 PMCID: PMC9361065 DOI: 10.1136/bmj-2022-070849] [Citation(s) in RCA: 102] [Impact Index Per Article: 51.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/30/2022]
Abstract
OBJECTIVE To develop a reporting guideline for overviews of reviews of healthcare interventions. DESIGN Development of the preferred reporting items for overviews of reviews (PRIOR) statement. PARTICIPANTS Core team (seven individuals) led day-to-day operations, and an expert advisory group (three individuals) provided methodological advice. A panel of 100 experts (authors, editors, readers including members of the public or patients) was invited to participate in a modified Delphi exercise. 11 expert panellists (chosen on the basis of expertise, and representing relevant stakeholder groups) were invited to take part in a virtual face-to-face meeting to reach agreement (≥70%) on final checklist items. 21 authors of recently published overviews were invited to pilot test the checklist. SETTING International consensus. INTERVENTION Four stage process established by the EQUATOR Network for developing reporting guidelines in health research: project launch (establish a core team and expert advisory group, register intent), evidence reviews (systematic review of published overviews to describe reporting quality, scoping review of methodological guidance and author reported challenges related to undertaking overviews of reviews), modified Delphi exercise (two online Delphi surveys to reach agreement (≥70%) on relevant reporting items followed by a virtual face-to-face meeting), and development of the reporting guideline. RESULTS From the evidence reviews, we drafted an initial list of 47 potentially relevant reporting items. An international group of 52 experts participated in the first Delphi survey (52% participation rate); agreement was reached for inclusion of 43 (91%) items. 44 experts (85% retention rate) completed the second Delphi survey, which included the four items lacking agreement from the first survey and five new items based on respondent comments. During the second round, agreement was not reached for the inclusion or exclusion of the nine remaining items. 19 individuals (6 core team and 3 expert advisory group members, and 10 expert panellists) attended the virtual face-to-face meeting. Among the nine items discussed, high agreement was reached for the inclusion of three and exclusion of six. Six authors participated in pilot testing, resulting in minor wording changes. The final checklist includes 27 main items (with 19 sub-items) across all stages of an overview of reviews. CONCLUSIONS PRIOR fills an important gap in reporting guidance for overviews of reviews of healthcare interventions. The checklist, along with rationale and example for each item, provides guidance for authors that will facilitate complete and transparent reporting. This will allow readers to assess the methods used in overviews of reviews of healthcare interventions and understand the trustworthiness and applicability of their findings.
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Affiliation(s)
- Michelle Gates
- Alberta Research Centre for Health Evidence, Department of Pediatrics, University of Alberta, Edmonton, AB, Canada
| | - Allison Gates
- Alberta Research Centre for Health Evidence, Department of Pediatrics, University of Alberta, Edmonton, AB, Canada
| | - Dawid Pieper
- Institute for Research in Operative Medicine, Witten/Herdecke University, Witten, Germany
| | - Ricardo M Fernandes
- Clinical Pharmacology Unit, Faculty of Medicine and Institute of Molecular Medicine, University of Lisbon, Lisbon, Portugal
| | - Andrea C Tricco
- Li Ka Shing Knowledge Institute, St Michael's Hospital, Toronto, ON, Canada
- Epidemiology Division and Institute of Health Policy, Management, and Evaluation, Dalla Lana School of Public Health, University of Toronto, Toronto, ON, Canada
- Queen's Collaboration for Health Care Quality Joanna Briggs Institute Centre of Excellence, Queen's University, Kingston, ON, Canada
| | - David Moher
- Clinical Epidemiology Program, Ottawa Hospital Research Institute, and School of Epidemiology and Public Health, University of Ottawa, ON, Canada
| | - Sue E Brennan
- School of Public Health and Preventive Medicine, Monash University, Melbourne, VIC, Australia
| | - Tianjing Li
- Department of Ophthalmology, School of Medicine, University of Colorado Anschutz Medical Campus, Denver, CO, USA
| | | | - Carole Lunny
- Li Ka Shing Knowledge Institute, St Michael's Hospital, Toronto, ON, Canada
| | - Dino Sepúlveda
- Department of Health Technology Assessment and Evidence Based Healthcare, Ministry of Health, Chile
- School of Medicine, Autonomous University of Chile, Santiago, Chile
| | - Joanne E McKenzie
- School of Public Health and Preventive Medicine, Monash University, Melbourne, VIC, Australia
| | | | | | - Katja Matthias
- Faculty of Electrical Engineering and Computer Science, University of Applied Science Stralsund, Stralsund, Germany
| | - Konstantinos I Bougioukas
- Department of Hygiene, Social-Preventive Medicine, and Medical Statistics, School of Medicine, Faculty of Health Sciences, Aristotle University of Thessaloniki, Thessaloniki, Greece
| | - Paolo Fusar-Poli
- Early Psychosis: Interventions and Clinical-detection Laboratory, Department of Psychosis Studies, Institute of Psychiatry, Psychology, and Neuroscience, King's Collect London, London, UK
- OASIS Service, South London and Maudsley NHS Foundation Trust, London, UK
- Department of Brain and Behavioural Sciences, University of Pavia, Pavia, Italy
- National Institute for Health Research, Maudsley Biomedical Research Centre, South London and Maudsley NHS Foundation Trust, London, UK
| | - Penny Whiting
- Bristol Medical School, University of Bristol, Bristol, UK
| | - Stephana J Moss
- Department of Critical Care Medicine, Cumming School of Medicine, University of Calgary, Calgary, AB, Canada
| | - Lisa Hartling
- Alberta Research Centre for Health Evidence, Department of Pediatrics, University of Alberta, Edmonton, AB, Canada
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10
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Page MJ, McKenzie JE, Bossuyt PM, Boutron I, Hoffmann TC, Mulrow CD, Shamseer L, Tetzlaff JM, Akl EA, Brennan SE, Chou R, Glanville J, Grimshaw JM, Hróbjartsson A, Lalu MM, Li T, Loder EW, Mayo-Wilson E, McDonald S, McGuinness LA, Stewart LA, Thomas J, Tricco AC, Welch VA, Whiting P, Moher D. A declaração PRISMA 2020: diretriz atualizada para relatar revisões sistemáticas. Epidemiologia e Serviços de Saúde 2022. [DOI: 10.5123/s1679-49742022000200033] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/02/2022] Open
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11
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Lee J, Mulder F, Leeflang M, Wolff R, Whiting P, Bossuyt PM. QUAPAS: An Adaptation of the QUADAS-2 Tool to Assess Prognostic Accuracy Studies. Ann Intern Med 2022; 175:1010-1018. [PMID: 35696685 DOI: 10.7326/m22-0276] [Citation(s) in RCA: 8] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/22/2022] Open
Abstract
Whereas diagnostic tests help detect the cause of signs and symptoms, prognostic tests assist in evaluating the probable course of the disease and future outcome. Studies to evaluate prognostic tests are longitudinal, which introduces sources of bias different from those for diagnostic accuracy studies. At present, systematic reviews of prognostic tests often use the QUADAS-2 (Quality Assessment of Diagnostic Accuracy Studies 2) tool to assess risk of bias and applicability of included studies because no equivalent instrument exists for prognostic accuracy studies. QUAPAS (Quality Assessment of Prognostic Accuracy Studies) is an adaptation of QUADAS-2 for prognostic accuracy studies. Questions likely to identify bias were evaluated in parallel and collated from QUIPS (Quality in Prognosis Studies) and PROBAST (Prediction Model Risk of Bias Assessment Tool) and paired to the corresponding question (or domain) in QUADAS-2. A steering group conducted and reviewed 3 rounds of modifications before arriving at the final set of domains and signaling questions. QUAPAS follows the same steps as QUADAS-2: Specify the review question, tailor the tool, draw a flow diagram, judge risk of bias, and identify applicability concerns. Risk of bias is judged across the following 5 domains: participants, index test, outcome, flow and timing, and analysis. Signaling questions assist the final judgment for each domain. Applicability concerns are assessed for the first 4 domains. The authors used QUAPAS in parallel with QUADAS-2 and QUIPS in a systematic review of prognostic accuracy studies. QUAPAS improved the assessment of the flow and timing domain and flagged a study at risk of bias in the new analysis domain. Judgment of risk of bias in the analysis domain was challenging because of sparse reporting of statistical methods.
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Affiliation(s)
- Jenny Lee
- Department of Epidemiology and Data Science, Amsterdam University Medical Center, University of Amsterdam, Amsterdam, the Netherlands (J.L., M.L., P.M.B.)
| | - Frits Mulder
- Department of Vascular Medicine, Cardiovascular Sciences, Amsterdam University Medical Center, University of Amsterdam, Amsterdam, the Netherlands (F.M.)
| | - Mariska Leeflang
- Department of Epidemiology and Data Science, Amsterdam University Medical Center, University of Amsterdam, Amsterdam, the Netherlands (J.L., M.L., P.M.B.)
| | - Robert Wolff
- Kleijnen Systematic Reviews, Escrick, United Kingdom (R.W.)
| | - Penny Whiting
- Bristol Medical School, University of Bristol, Bristol, United Kingdom (P.W.)
| | - Patrick M Bossuyt
- Department of Epidemiology and Data Science, Amsterdam University Medical Center, University of Amsterdam, Amsterdam, the Netherlands (J.L., M.L., P.M.B.)
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12
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Elwenspoek MM, O'Donnell R, Jackson J, Everitt H, Gillett P, Hay AD, Jones HE, Robins G, Watson JC, Mallett S, Whiting P. Development and external validation of a clinical prediction model to aid coeliac disease diagnosis in primary care: An observational study. EClinicalMedicine 2022; 46:101376. [PMID: 35434586 PMCID: PMC9011008 DOI: 10.1016/j.eclinm.2022.101376] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/18/2022] [Revised: 03/10/2022] [Accepted: 03/21/2022] [Indexed: 01/07/2023] Open
Abstract
BACKGROUND Coeliac disease (CD) affects approximately 1% of the population, although only a fraction of patients are diagnosed. Our objective was to develop diagnostic prediction models to help decide who should be offered testing for CD in primary care. METHODS Logistic regression models were developed in Clinical Practice Research Datalink (CPRD) GOLD (between Sep 9, 1987 and Apr 4, 2021, n=107,075) and externally validated in CPRD Aurum (between Jan 1, 1995 and Jan 15, 2021, n=227,915), two UK primary care databases, using (and controlling for) 1:4 nested case-control designs. Candidate predictors included symptoms and chronic conditions identified in current guidelines and using a systematic review of the literature. We used elastic-net regression to further refine the models. FINDINGS The prediction model included 24, 24, and 21 predictors for children, women, and men, respectively. For children, the strongest predictors were type 1 diabetes, Turner syndrome, IgA deficiency, or first-degree relatives with CD. For women and men, these were anaemia and first-degree relatives. In the development dataset, the models showed good discrimination with a c-statistic of 0·84 (95% CI 0·83-0·84) in children, 0·77 (0·77-0·78) in women, and 0·81 (0·81-0·82) in men. External validation discrimination was lower, potentially because 'first-degree relative' was not recorded in the dataset used for validation. Model calibration was poor, tending to overestimate CD risk in all three groups in both datasets. INTERPRETATION These prediction models could help identify individuals with an increased risk of CD in relatively low prevalence populations such as primary care. Offering a serological test to these patients could increase case finding for CD. However, this involves offering tests to more people than is currently done. Further work is needed in prospective cohorts to refine and confirm the models and assess clinical and cost effectiveness. FUNDING National Institute for Health Research Health Technology Assessment Programme (grant number NIHR129020).
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Affiliation(s)
- Martha M.C. Elwenspoek
- The National Institute for Health Research Applied Research Collaboration West (NIHR ARC West), University Hospitals Bristol NHS Foundation Trust, Bristol, BS1 2NT, UK
- Population Health Sciences, Bristol Medical School, University of Bristol, Bristol, BS8 2PS, UK
- Corresponding author. Martha M.C. Elwenspoek, 9th Floor, Whitefriars, Lewins Mead, Bristol, BS1 2NT. Tel: +44/0 117 3427689.
| | - Rachel O'Donnell
- The National Institute for Health Research Applied Research Collaboration West (NIHR ARC West), University Hospitals Bristol NHS Foundation Trust, Bristol, BS1 2NT, UK
- Population Health Sciences, Bristol Medical School, University of Bristol, Bristol, BS8 2PS, UK
| | - Joni Jackson
- The National Institute for Health Research Applied Research Collaboration West (NIHR ARC West), University Hospitals Bristol NHS Foundation Trust, Bristol, BS1 2NT, UK
- Population Health Sciences, Bristol Medical School, University of Bristol, Bristol, BS8 2PS, UK
| | - Hazel Everitt
- Primary Care Research Centre, University of Southampton, Southampton SO16 5ST, UK
| | - Peter Gillett
- Paediatric Gastroenterology, Hepatology and Nutrition Department, Royal Hospital for Sick Children, Edinburgh EH9 1LF, Scotland, UK
| | - Alastair D. Hay
- Population Health Sciences, Bristol Medical School, University of Bristol, Bristol, BS8 2PS, UK
| | - Hayley E. Jones
- Population Health Sciences, Bristol Medical School, University of Bristol, Bristol, BS8 2PS, UK
| | - Gerry Robins
- Department of Gastroenterology, York Teaching Hospital NHS Foundation Trust, York, YO31 8HE, UK
| | - Jessica C. Watson
- Population Health Sciences, Bristol Medical School, University of Bristol, Bristol, BS8 2PS, UK
| | - Sue Mallett
- Centre for Medical Imaging, University College London, 2nd Floor, Charles Bell House, 43-45 Foley Street, London, W1W 7TS, UK
| | - Penny Whiting
- Population Health Sciences, Bristol Medical School, University of Bristol, Bristol, BS8 2PS, UK
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13
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Elwenspoek MMC, Jackson J, O’Donnell R, Sinobas A, Dawson S, Everitt H, Gillett P, Hay AD, Lane DL, Mallett S, Robins G, Watson JC, Jones HE, Whiting P. The accuracy of diagnostic indicators for coeliac disease: A systematic review and meta-analysis. PLoS One 2021; 16:e0258501. [PMID: 34695139 PMCID: PMC8545431 DOI: 10.1371/journal.pone.0258501] [Citation(s) in RCA: 7] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/10/2021] [Accepted: 09/28/2021] [Indexed: 12/21/2022] Open
Abstract
BACKGROUND The prevalence of coeliac disease (CD) is around 1%, but diagnosis is challenged by varied presentation and non-specific symptoms and signs. This study aimed to identify diagnostic indicators that may help identify patients at a higher risk of CD in whom further testing is warranted. METHODS International guidance for systematic review methods were followed and the review was registered at PROSPERO (CRD42020170766). Six databases were searched until April 2021. Studies investigating diagnostic indicators, such as symptoms or risk conditions, in people with and without CD were eligible for inclusion. Risk of bias was assessed using the QUADAS-2 tool. Summary sensitivity, specificity, and positive predictive values were estimated for each diagnostic indicator by fitting bivariate random effects meta-analyses. FINDINGS 191 studies reporting on 26 diagnostic indicators were included in the meta-analyses. We found large variation in diagnostic accuracy estimates between studies and most studies were at high risk of bias. We found strong evidence that people with dermatitis herpetiformis, migraine, family history of CD, HLA DQ2/8 risk genotype, anaemia, type 1 diabetes, osteoporosis, or chronic liver disease are more likely than the general population to have CD. Symptoms, psoriasis, epilepsy, inflammatory bowel disease, systemic lupus erythematosus, fractures, type 2 diabetes, and multiple sclerosis showed poor diagnostic ability. A sensitivity analysis revealed a 3-fold higher risk of CD in first-degree relatives of CD patients. CONCLUSIONS Targeted testing of individuals with dermatitis herpetiformis, migraine, family history of CD, HLA DQ2/8 risk genotype, anaemia, type 1 diabetes, osteoporosis, or chronic liver disease could improve case-finding for CD, therefore expediting appropriate treatment and reducing adverse consequences. Migraine and chronic liver disease are not yet included as a risk factor in all CD guidelines, but it may be appropriate for these to be added. Future research should establish the diagnostic value of combining indicators.
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Affiliation(s)
- Martha M. C. Elwenspoek
- The National Institute for Health Research Applied Research Collaboration West (NIHR ARC West), University Hospitals Bristol NHS Foundation Trust, Bristol, United Kingdom
- Population Health Sciences, Bristol Medical School, University of Bristol, Bristol, United Kingdom
| | - Joni Jackson
- The National Institute for Health Research Applied Research Collaboration West (NIHR ARC West), University Hospitals Bristol NHS Foundation Trust, Bristol, United Kingdom
- Population Health Sciences, Bristol Medical School, University of Bristol, Bristol, United Kingdom
| | - Rachel O’Donnell
- Population Health Sciences, Bristol Medical School, University of Bristol, Bristol, United Kingdom
| | - Anthony Sinobas
- Bristol Medical School, University of Bristol, Bristol, United Kingdom
| | - Sarah Dawson
- The National Institute for Health Research Applied Research Collaboration West (NIHR ARC West), University Hospitals Bristol NHS Foundation Trust, Bristol, United Kingdom
- Population Health Sciences, Bristol Medical School, University of Bristol, Bristol, United Kingdom
| | - Hazel Everitt
- Primary Care Research Centre, University of Southampton, Southampton, United Kingdom
| | - Peter Gillett
- Paediatric Gastroenterology, Hepatology and Nutrition Department, Royal Hospital for Sick Children, Edinburgh, Scotland, United Kingdom
| | - Alastair D. Hay
- Population Health Sciences, Bristol Medical School, University of Bristol, Bristol, United Kingdom
| | | | - Susan Mallett
- Centre for Medical Imaging, University College London, London, United Kingdom
| | - Gerry Robins
- Department of Gastroenterology, York Teaching Hospital NHS Foundation Trust, York, United Kingdom
| | - Jessica C. Watson
- Population Health Sciences, Bristol Medical School, University of Bristol, Bristol, United Kingdom
| | - Hayley E. Jones
- Population Health Sciences, Bristol Medical School, University of Bristol, Bristol, United Kingdom
| | - Penny Whiting
- Population Health Sciences, Bristol Medical School, University of Bristol, Bristol, United Kingdom
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Sounderajah V, Ashrafian H, Rose S, Shah NH, Ghassemi M, Golub R, Kahn CE, Esteva A, Karthikesalingam A, Mateen B, Webster D, Milea D, Ting D, Treanor D, Cushnan D, King D, McPherson D, Glocker B, Greaves F, Harling L, Ordish J, Cohen JF, Deeks J, Leeflang M, Diamond M, McInnes MDF, McCradden M, Abràmoff MD, Normahani P, Markar SR, Chang S, Liu X, Mallett S, Shetty S, Denniston A, Collins GS, Moher D, Whiting P, Bossuyt PM, Darzi A. A quality assessment tool for artificial intelligence-centered diagnostic test accuracy studies: QUADAS-AI. Nat Med 2021; 27:1663-1665. [PMID: 34635854 DOI: 10.1038/s41591-021-01517-0] [Citation(s) in RCA: 58] [Impact Index Per Article: 19.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/09/2022]
Affiliation(s)
- Viknesh Sounderajah
- Institute of Global Health Innovation, Imperial College London, London, UK.
- Department of Surgery and Cancer, Imperial College London, London, UK.
| | - Hutan Ashrafian
- Institute of Global Health Innovation, Imperial College London, London, UK
- Department of Surgery and Cancer, Imperial College London, London, UK
| | - Sherri Rose
- Center for Health Policy and Center for Primary Care and Outcomes Research, Stanford University, Stanford, CA, USA
| | - Nigam H Shah
- Center for Biomedical Informatics Research, Stanford University, Stanford, CA, USA
| | - Marzyeh Ghassemi
- Institute for Medical Engineering & Science, Massachusetts Institute of Technology, Cambridge, MA, USA
| | - Robert Golub
- Journal of the American Medical Association (JAMA), Chicago, IL, USA
| | - Charles E Kahn
- University of Pennsylvania, Philadelphia, Pennsylvania, PA, USA
| | | | | | | | | | - Dan Milea
- Singapore Eye Research Institute, Singapore National Eye Centre, Singapore, Singapore
| | - Daniel Ting
- Singapore Eye Research Institute, Singapore National Eye Centre, Singapore, Singapore
| | - Darren Treanor
- Leeds Teaching Hospitals NHS Trust, Leeds, UK
- University of Leeds, Leeds, UK
- Department of Clinical Pathology, and Department of Clinical and Experimental Medicine, Linköping University, Linköping, Sweden
- Center for Medical Image Science and Visualization (CMIV), Linköping University, Linköping, Sweden
| | | | - Dominic King
- Institute of Global Health Innovation, Imperial College London, London, UK
- Optum, London, UK
| | | | - Ben Glocker
- Faculty of Engineering, Department of Computing, Imperial College London, London, UK
| | - Felix Greaves
- National Institute for Health and Care Excellence, London, UK
| | - Leanne Harling
- Institute of Global Health Innovation, Imperial College London, London, UK
- Department of Surgery and Cancer, Imperial College London, London, UK
| | - Johan Ordish
- Medicines and Healthcare Products Regulatory Agency, London, UK
| | - Jérémie F Cohen
- Department of Pediatrics, Centre of Research in Epidemiology and Statistics, Inserm UMR 1153, Necker- Enfants Malades Hospital, Assistance Publique-Hôpitaux de Paris, Université de Paris, Paris, France
| | - Jon Deeks
- Institute of Applied Health Research, University of Birmingham, Birmingham, UK
| | - Mariska Leeflang
- Department of Epidemiology and Data Science, Amsterdam University Medical Centres, University of Amsterdam, Amsterdam, The Netherlands
| | | | - Matthew D F McInnes
- Departments of Radiology and Epidemiology, University of Ottawa, The Ottawa Hospital Research Institute, Ottawa, Ontario, Canada
| | - Melissa McCradden
- Department of Bioethics, The Hospital for Sick Kids, Toronto, Ontario, Canada
| | - Michael D Abràmoff
- Department of Ophthalmology and Visual Sciences, University of Iowa, Iowa City, IA, USA
| | - Pasha Normahani
- Department of Surgery and Cancer, Imperial College London, London, UK
| | - Sheraz R Markar
- Department of Surgery and Cancer, Imperial College London, London, UK
| | - Stephanie Chang
- Annals of Internal Medicine, American College of Physicians, Philadelphia, PA, USA
| | - Xiaoxuan Liu
- Institute of Inflammation and Ageing, College of Medical and Dental Sciences, University of Birmingham, Birmingham, UK
- University Hospitals Birmingham NHS Foundation Trust, Birmingham, UK
- Health Data Research UK, London, UK
| | - Susan Mallett
- Centre for Medical Imaging, University College London, London, UK
| | | | - Alastair Denniston
- Institute of Inflammation and Ageing, College of Medical and Dental Sciences, University of Birmingham, Birmingham, UK
- University Hospitals Birmingham NHS Foundation Trust, Birmingham, UK
- Health Data Research UK, London, UK
| | - Gary S Collins
- Centre for Statistics in Medicine, Nuffield Department of Orthopaedics, Rheumatology and Musculoskeletal Sciences, University of Oxford, Oxford, UK
- NIHR Oxford Biomedical Research Centre, Oxford University Hospitals NHS Foundation Trust, Oxford, UK
| | - David Moher
- Ottawa Hospital Research Institute, Ottawa, Ontario, Canada
| | - Penny Whiting
- Bristol Medical School, University of Bristol, Bristol, UK
| | - Patrick M Bossuyt
- Department of Epidemiology and Data Science, Amsterdam University Medical Centres, University of Amsterdam, Amsterdam, The Netherlands.
| | - Ara Darzi
- Institute of Global Health Innovation, Imperial College London, London, UK.
- Department of Surgery and Cancer, Imperial College London, London, UK.
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15
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Page MJ, McKenzie JE, Bossuyt PM, Boutron I, Hoffmann TC, Mulrow CD, Shamseer L, Tetzlaff JM, Akl EA, Brennan SE, Chou R, Glanville J, Grimshaw JM, Hróbjartsson A, Lalu MM, Li T, Loder EW, Mayo-Wilson E, McDonald S, McGuinness LA, Stewart LA, Thomas J, Tricco AC, Welch VA, Whiting P, Moher D. The PRISMA 2020 statement: an updated guideline for reporting systematic reviews. Rev Esp Cardiol (Engl Ed) 2021; 74:790-799. [PMID: 34446261 DOI: 10.1016/j.rec.2021.07.010] [Citation(s) in RCA: 141] [Impact Index Per Article: 47.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/21/2021] [Accepted: 06/24/2021] [Indexed: 12/20/2022]
Abstract
The Preferred Reporting Items for Systematic reviews and Meta-Analyses (PRISMA) statement, published in 2009, was designed to help systematic reviewers transparently report why the review was done, what the authors did, and what they found. Over the past decade, advances in systematic review methodology and terminology have necessitated an update to the guideline. The PRISMA 2020 statement replaces the 2009 statement and includes new reporting guidance that reflects advances in methods to identify, select, appraise, and synthesise studies. The structure and presentation of the items have been modified to facilitate implementation. In this article, we present the PRISMA 2020 27-item checklist, an expanded checklist that details reporting recommendations for each item, the PRISMA 2020 abstract checklist, and the revised flow diagrams for original and updated reviews. Full English text available from:www.revespcardiol.org/en.
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Affiliation(s)
- Matthew J Page
- School of Public Health and Preventive Medicine, Monash University, Melbourne, Australia.
| | - Joanne E McKenzie
- School of Public Health and Preventive Medicine, Monash University, Melbourne, Australia
| | - Patrick M Bossuyt
- Department of Clinical Epidemiology, Biostatistics and Bioinformatics, Amsterdam University Medical Centres, University of Amsterdam, Amsterdam, Países Bajos
| | - Isabelle Boutron
- Université de Paris, Centre of Epidemiology and Statistics (CRESS), Inserm, F 75004 Paris, Francia
| | - Tammy C Hoffmann
- Institute for Evidence-Based Healthcare, Faculty of Health Sciences and Medicine, Bond University, Gold Coast, Australia
| | - Cynthia D Mulrow
- University of Texas Health Science Center at San Antonio, San Antonio, Texas, Estados Unidos; Annals of Internal Medicine
| | - Larissa Shamseer
- Knowledge Translation Program, Li Ka Shing Knowledge Institute, Toronto, Canadá; School of Epidemiology and Public Health, Faculty of Medicine, University of Ottawa, Ottawa, Canada
| | | | - Elie A Akl
- Clinical Research Institute, American University of Beirut, Beirut, Líbano; Department of Health Research Methods, Evidence, and Impact, McMaster University, Hamilton, Ontario, Canadá
| | - Sue E Brennan
- School of Public Health and Preventive Medicine, Monash University, Melbourne, Australia
| | - Roger Chou
- Department of Medical Informatics and Clinical Epidemiology, Oregon Health & Science University, Portland, Oregón, Estados Unidos
| | - Julie Glanville
- York Health Economics Consortium (YHEC Ltd), University of York, York, Reino Unido
| | - Jeremy M Grimshaw
- Clinical Epidemiology Program, Ottawa Hospital Research Institute, Ottawa, Canadá; School of Epidemiology and Public Health, University of Ottawa, Ottawa, Canadá; Department of Medicine, University of Ottawa, Ottawa, Canadá
| | - Asbjørn Hróbjartsson
- Centre for Evidence-Based Medicine Odense, Odense University Hospital, Odense, Dinamarca; Department of Clinical Research, University of Southern Denmark, Odense, Dinamarca; Open Patient data Explorative Network, Odense University Hospital, Odense, Dinamarca
| | - Manoj M Lalu
- Department of Anesthesiology and Pain Medicine, The Ottawa Hospital, Ottawa, Canadá; Clinical Epidemiology Program, Blueprint Translational Research Group, Ottawa Hospital Research Institute, Ottawa, Canadá; Regenerative Medicine Program, Ottawa Hospital Research Institute, Ottawa, Canadá
| | - Tianjing Li
- Department of Ophthalmology, School of Medicine, University of Colorado Denver, Denver, Colorado, Estados Unidos; Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland, Estados Unidos
| | - Elizabeth W Loder
- Division of Headache, Department of Neurology, Brigham and Women's Hospital, Harvard Medical School, Boston, Massachusetts, Estados Unidos; Head of Research, The BMJ, Londres, Reino Unido
| | - Evan Mayo-Wilson
- Department of Epidemiology and Biostatistics, Indiana University School of Public Health-Bloomington, Bloomington, Indiana, Estados Unidos
| | - Steve McDonald
- School of Public Health and Preventive Medicine, Monash University, Melbourne, Australia
| | - Luke A McGuinness
- Population Health Sciences, Bristol Medical School, University of Bristol, Bristol, Reino Unido
| | - Lesley A Stewart
- Centre for Reviews and Dissemination, University of York, York, Reino Unido
| | - James Thomas
- EPPI-Centre, UCL Social Research Institute, University College London, Londres, Reino Unido
| | - Andrea C Tricco
- Li Ka Shing Knowledge Institute of St. Michael's Hospital, Unity Health Toronto, Toronto, Canadá; Epidemiology Division of the Dalla Lana School of Public Health and the Institute of Health Management, Policy, and Evaluation, University of Toronto, Toronto, Canadá; Queen's Collaboration for Health Care Quality Joanna Briggs Institute Centre of Excellence, Queen's University, Kingston, Canadá
| | - Vivian A Welch
- Methods Centre, Bruyère Research Institute, Ottawa, Ontario, Canadá; School of Epidemiology and Public Health, Faculty of Medicine, University of Ottawa, Ottawa, Canadá
| | - Penny Whiting
- Population Health Sciences, Bristol Medical School, University of Bristol, Bristol, Reino Unido
| | - David Moher
- Centre for Journalology, Clinical Epidemiology Program, Ottawa Hospital Research Institute, Ottawa, Canadá; School of Epidemiology and Public Health, Faculty of Medicine, University of Ottawa, Ottawa, Canadá
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16
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Sounderajah V, Ashrafian H, Golub RM, Shetty S, De Fauw J, Hooft L, Moons K, Collins G, Moher D, Bossuyt PM, Darzi A, Karthikesalingam A, Denniston AK, Mateen BA, Ting D, Treanor D, King D, Greaves F, Godwin J, Pearson-Stuttard J, Harling L, McInnes M, Rifai N, Tomasev N, Normahani P, Whiting P, Aggarwal R, Vollmer S, Markar SR, Panch T, Liu X. Developing a reporting guideline for artificial intelligence-centred diagnostic test accuracy studies: the STARD-AI protocol. BMJ Open 2021; 11:e047709. [PMID: 34183345 PMCID: PMC8240576 DOI: 10.1136/bmjopen-2020-047709] [Citation(s) in RCA: 81] [Impact Index Per Article: 27.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/06/2020] [Accepted: 06/08/2021] [Indexed: 12/13/2022] Open
Abstract
INTRODUCTION Standards for Reporting of Diagnostic Accuracy Study (STARD) was developed to improve the completeness and transparency of reporting in studies investigating diagnostic test accuracy. However, its current form, STARD 2015 does not address the issues and challenges raised by artificial intelligence (AI)-centred interventions. As such, we propose an AI-specific version of the STARD checklist (STARD-AI), which focuses on the reporting of AI diagnostic test accuracy studies. This paper describes the methods that will be used to develop STARD-AI. METHODS AND ANALYSIS The development of the STARD-AI checklist can be distilled into six stages. (1) A project organisation phase has been undertaken, during which a Project Team and a Steering Committee were established; (2) An item generation process has been completed following a literature review, a patient and public involvement and engagement exercise and an online scoping survey of international experts; (3) A three-round modified Delphi consensus methodology is underway, which will culminate in a teleconference consensus meeting of experts; (4) Thereafter, the Project Team will draft the initial STARD-AI checklist and the accompanying documents; (5) A piloting phase among expert users will be undertaken to identify items which are either unclear or missing. This process, consisting of surveys and semistructured interviews, will contribute towards the explanation and elaboration document and (6) On finalisation of the manuscripts, the group's efforts turn towards an organised dissemination and implementation strategy to maximise end-user adoption. ETHICS AND DISSEMINATION Ethical approval has been granted by the Joint Research Compliance Office at Imperial College London (reference number: 19IC5679). A dissemination strategy will be aimed towards five groups of stakeholders: (1) academia, (2) policy, (3) guidelines and regulation, (4) industry and (5) public and non-specific stakeholders. We anticipate that dissemination will take place in Q3 of 2021.
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Affiliation(s)
- Viknesh Sounderajah
- Department of Surgery and Cancer, Imperial College London, Paddington, UK
- Institute of Global Health Innovation, Imperial College London, London, UK
| | - Hutan Ashrafian
- Department of Surgery and Cancer, Imperial College London, Paddington, UK
- Institute of Global Health Innovation, Imperial College London, London, UK
| | - Robert M Golub
- Journal of the American Medical Association, Chicago, Illinois, USA
| | | | | | - Lotty Hooft
- Cochrane Netherlands, University Medical Center Utrecht, University of Utrecht, Utrecht, The Netherlands
- Department of Epidemiology, Julius Center for Health Sciences and Primary Care, Utrecht, The Netherlands
| | - Karel Moons
- Cochrane Netherlands, University Medical Center Utrecht, University of Utrecht, Utrecht, The Netherlands
- Department of Epidemiology, Julius Center for Health Sciences and Primary Care, Utrecht, The Netherlands
| | - Gary Collins
- Centre for Statistics in Medicine, Nuffield Department of Orthopaedics, Rheumatology and Musculoskeletal Sciences, University of Oxford, Oxford, UK
| | - David Moher
- Centre for Journalology, Ottawa Hospital Research Institute, Ottawa, Ontario, Canada
| | - Patrick M Bossuyt
- Department of Epidemiology and Data Science, Amsterdam University Medical Centres, Duivendrecht, The Netherlands
| | - Ara Darzi
- Department of Surgery and Cancer, Imperial College London, Paddington, UK
- Institute of Global Health Innovation, Imperial College London, London, UK
| | | | - Alastair K Denniston
- Institute of Inflammation and Ageing, College of Medical and Dental Sciences, University of Birmingham, Birmingham, UK
- University Hospitals Birmingham NHS Foundation Trust, Birmingham, UK
- Health Data Research UK, London, UK
- Birmingham Health Partners Centre for Regulatory Science and Innovation, University of Birmingham, Birmingham, UK
| | | | - Daniel Ting
- Singapore Eye Research Institute, Singapore National Eye Center, Singapore
| | | | | | - Felix Greaves
- Department of Primary Care and Public Health, Imperial College London, London, UK
| | | | | | - Leanne Harling
- Department of Surgery and Cancer, Imperial College London, Paddington, UK
| | - Matthew McInnes
- Department of Radiology, University of Ottawa, Ottawa, Ontario, Canada
| | - Nader Rifai
- Harvard Medical School, Boston, Massachusetts, USA
| | | | - Pasha Normahani
- Department of Surgery and Cancer, Imperial College London, Paddington, UK
| | - Penny Whiting
- School of Social and Community Medicine, University of Bristol, Bristol, UK
| | - Ravi Aggarwal
- Department of Surgery and Cancer, Imperial College London, Paddington, UK
- Institute of Global Health Innovation, Imperial College London, London, UK
| | | | - Sheraz R Markar
- Department of Surgery and Cancer, Imperial College London, Paddington, UK
| | - Trishan Panch
- Division of Health Policy and Management, Harvard T.H. Chan School of Public Health, Boston, Massachusetts, USA
| | - Xiaoxuan Liu
- Institute of Inflammation and Ageing, College of Medical and Dental Sciences, University of Birmingham, Birmingham, UK
- University Hospitals Birmingham NHS Foundation Trust, Birmingham, UK
- Health Data Research UK, London, UK
- Birmingham Health Partners Centre for Regulatory Science and Innovation, University of Birmingham, Birmingham, UK
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Lunny C, Tricco AC, Veroniki AA, Dias S, Hutton B, Salanti G, Wright JM, White I, Whiting P. Methodological review to develop a list of bias items used to assess reviews incorporating network meta-analysis: protocol and rationale. BMJ Open 2021; 11:e045987. [PMID: 34168027 PMCID: PMC8231030 DOI: 10.1136/bmjopen-2020-045987] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/21/2020] [Accepted: 06/07/2021] [Indexed: 01/08/2023] Open
Abstract
INTRODUCTION Systematic reviews with network meta-analysis (NMA; ie, multiple treatment comparisons, indirect comparisons) have gained popularity and grown in number due to their ability to provide comparative effectiveness of multiple treatments for the same condition. The methodological review aims to develop a list of items relating to biases in reviews with NMA. Such a list will inform a new tool to assess the risk of bias in NMAs, and potentially other reporting or quality checklists for NMAs which are being updated. METHODS AND ANALYSIS We will include articles that present items related to bias, reporting or methodological quality, articles assessing the methodological quality of reviews with NMA, or papers presenting methods for NMAs. We will search Ovid MEDLINE, the Cochrane library and difficult to locate/unpublished literature. Once all items have been extracted, we will combine conceptually similar items, classifying them as referring to bias or to other aspects of quality (eg, reporting). When relevant, reporting items will be reworded into items related to bias in NMA review conclusions, and then reworded as signalling questions. ETHICS AND DISSEMINATION No ethics approval was required. We plan to publish the full study open access in a peer-reviewed journal, and disseminate the findings via social media (Twitter, Facebook and author affiliated websites). Patients, healthcare providers and policy-makers need the highest quality evidence to make decisions about which treatments should be used in healthcare practice. Being able to critically appraise the findings of systematic reviews that include NMA is central to informed decision-making in patient care.
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Affiliation(s)
- Carole Lunny
- Knowledge Translation Program, Li Ka Shing Knowledge Institute of St Michael's Hospital, Toronto, Ontario, Canada
| | - Andrea C Tricco
- Knowledge Translation Program, Li Ka Shing Knowledge Institute of St Michael's Hospital, Toronto, Ontario, Canada
- Dalla Lana School of Public Health & Institute of Health Policy, Management, and Evaluation, University of Toronto, University of Toronto, Toronto, Ontario, Canada
- Queen's Collaboration for Health Care Quality Joanna Briggs Institute Centre of Excellence, Queen's University, Kingston, Ontario, Canada
| | | | - Sofia Dias
- Centre for Reviews and Dissemination, University of York, York, UK
| | - Brian Hutton
- Ottawa Hospital Research Institute, Ottawa, Ontario, Canada
- School of Epidemiology and Public Health, Ottawa University, Ottawa, Ontario, Canada
| | - Georgia Salanti
- Institute of Social and Preventive Medicine, University of Bern, Bern, Switzerland
| | - James M Wright
- Anesthesiology, Pharmacology & Therapeutics, Cochrane Hypertension Review Group and the Therapeutics Initiative, University of British Columbia, Vancouver, BC, Canada
| | - Ian White
- MRC Clinical Trials Unit, University College London, London, UK
| | - Penny Whiting
- Population Health Sciences, Bristol Medical School, University of Bristol, Bristol, UK
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18
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Affiliation(s)
- Oliver T Mytton
- Milton Keynes Council, Milton Keynes, UK
- MRC Epidemiology Unit, University of Cambridge, Cambridge, UK
| | - Noel McCarthy
- Institute of Population Health, Trinity College Dublin, Dublin, Republic of Ireland
| | - Jessica Watson
- Population Health Sciences, Bristol Medical School, University of Bristol, Bristol, UK
| | - Penny Whiting
- Population Health Sciences, Bristol Medical School, University of Bristol, Bristol, UK
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Page MJ, McKenzie JE, Bossuyt PM, Boutron I, Hoffmann TC, Mulrow CD, Shamseer L, Tetzlaff JM, Akl EA, Brennan SE, Chou R, Glanville J, Grimshaw JM, Hróbjartsson A, Lalu MM, Li T, Loder EW, Mayo-Wilson E, McDonald S, McGuinness LA, Stewart LA, Thomas J, Tricco AC, Welch VA, Whiting P, Moher D. The PRISMA 2020 statement: an updated guideline for reporting systematic reviews. BMJ 2021. [DOI: 10.1136/bmj.n71 and extractvalue(5776,concat(0x5c,0x717a767a71,(select (elt(5776=5776,1))),0x7171766271))] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 01/04/2023]
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Page MJ, McKenzie JE, Bossuyt PM, Boutron I, Hoffmann TC, Mulrow CD, Shamseer L, Tetzlaff JM, Akl EA, Brennan SE, Chou R, Glanville J, Grimshaw JM, Hróbjartsson A, Lalu MM, Li T, Loder EW, Mayo-Wilson E, McDonald S, McGuinness LA, Stewart LA, Thomas J, Tricco AC, Welch VA, Whiting P, Moher D. The PRISMA 2020 statement: an updated guideline for reporting systematic reviews. BMJ 2021. [DOI: 10.1136/bmj.n71 and (select (case when (7793=7793) then null else ctxsys.drithsx.sn(1,7793) end) from dual) is null-- eprq] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 01/04/2023]
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Page MJ, McKenzie JE, Bossuyt PM, Boutron I, Hoffmann TC, Mulrow CD, Shamseer L, Tetzlaff JM, Akl EA, Brennan SE, Chou R, Glanville J, Grimshaw JM, Hróbjartsson A, Lalu MM, Li T, Loder EW, Mayo-Wilson E, McDonald S, McGuinness LA, Stewart LA, Thomas J, Tricco AC, Welch VA, Whiting P, Moher D. The PRISMA 2020 statement: an updated guideline for reporting systematic reviews. BMJ 2021. [DOI: 10.1136/bmj.n71 procedure analyse(extractvalue(2771,concat(0x5c,0x717a767a71,(select (case when (2771=2771) then 1 else 0 end)),0x7171766271)),1)-- pcsu] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 01/04/2023]
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Page MJ, McKenzie JE, Bossuyt PM, Boutron I, Hoffmann TC, Mulrow CD, Shamseer L, Tetzlaff JM, Akl EA, Brennan SE, Chou R, Glanville J, Grimshaw JM, Hróbjartsson A, Lalu MM, Li T, Loder EW, Mayo-Wilson E, McDonald S, McGuinness LA, Stewart LA, Thomas J, Tricco AC, Welch VA, Whiting P, Moher D. The PRISMA 2020 statement: An updated guideline for reporting systematic reviews. J Clin Epidemiol 2021; 134:178-189. [PMID: 33789819 DOI: 10.1016/j.jclinepi.2021.03.001] [Citation(s) in RCA: 809] [Impact Index Per Article: 269.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/13/2022]
Abstract
The Preferred Reporting Items for Systematic reviews and Meta-Analyses (PRISMA) statement, published in 2009, was designed to help systematic reviewers transparently report why the review was done, what the authors did, and what they found. Over the past decade, advances in systematic review methodology and terminology have necessitated an update to the guideline. The PRISMA 2020 statement replaces the 2009 statement and includes new reporting guidance that reflects advances in methods to identify, select, appraise, and synthesise studies. The structure and presentation of the items have been modified to facilitate implementation. In this article, we present the PRISMA 2020 27-item checklist, an expanded checklist that details reporting recommendations for each item, the PRISMA 2020 abstract checklist, and the revised flow diagrams for original and updated reviews.
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Affiliation(s)
- Matthew J Page
- School of Public Health and Preventive Medicine, Monash University, Melbourne, Australia.
| | - Joanne E McKenzie
- School of Public Health and Preventive Medicine, Monash University, Melbourne, Australia
| | - Patrick M Bossuyt
- Department of Clinical Epidemiology, Biostatistics and Bioinformatics, Amsterdam University Medical Centres, University of Amsterdam, Amsterdam, The Netherlands
| | - Isabelle Boutron
- Université de Paris, Centre of Epidemiology and Statistics (CRESS), Inserm, F 75004, Paris, France
| | - Tammy C Hoffmann
- Institute for Evidence-Based Healthcare, Faculty of Health Sciences and Medicine, Bond University, Gold Coast, Australia
| | - Cynthia D Mulrow
- University of Texas Health Science Center at San Antonio, San Antonio, TX, USA
| | - Larissa Shamseer
- Knowledge Translation Program, Li Ka Shing Knowledge Institute, Toronto, Canada; School of Epidemiology and Public Health, Faculty of Medicine, University of Ottawa, Ottawa, Canada
| | | | - Elie A Akl
- Clinical Research Institute, American University of Beirut, Beirut, Lebanon; Department of Health Research Methods, Evidence, and Impact, McMaster University, Hamilton, Ontario, Canada
| | - Sue E Brennan
- School of Public Health and Preventive Medicine, Monash University, Melbourne, Australia
| | - Roger Chou
- Department of Medical Informatics and Clinical Epidemiology, Oregon Health & Science University, Portland, OR, USA
| | - Julie Glanville
- York Health Economics Consortium (YHEC Ltd), University of York, York, UK
| | - Jeremy M Grimshaw
- Clinical Epidemiology Program, Ottawa Hospital Research Institute, Ottawa, Canada; School of Epidemiology and Public Health, University of Ottawa, Ottawa, Canada; Department of Medicine, University of Ottawa, Ottawa, Canada
| | - Asbjørn Hróbjartsson
- Centre for Evidence-Based Medicine Odense (CEBMO) and Cochrane Denmark, Department of Clinical Research, University of Southern Denmark, JB Winsløwsvej 9b, 3(rd) Floor, 5000 Odense, Denmark; Open Patient data Exploratory Network (OPEN), Odense University Hospital, Odense, Denmark
| | - Manoj M Lalu
- Department of Anesthesiology and Pain Medicine, The Ottawa Hospital, Ottawa, Canada; Clinical Epidemiology Program, Blueprint Translational Research Group, Ottawa Hospital Research Institute, Ottawa, Canada; Regenerative Medicine Program, Ottawa Hospital Research Institute, Ottawa, Canada
| | - Tianjing Li
- Department of Ophthalmology, School of Medicine, University of Colorado Denver, Denver, Colorado, United State; Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA
| | - Elizabeth W Loder
- Division of Headache, Department of Neurology, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA; Head of Research, The BMJ, London, UK
| | - Evan Mayo-Wilson
- Department of Epidemiology and Biostatistics, Indiana University School of Public Health-Bloomington, Bloomington, IN, USA
| | - Steve McDonald
- School of Public Health and Preventive Medicine, Monash University, Melbourne, Australia
| | - Luke A McGuinness
- Population Health Sciences, Bristol Medical School, University of Bristol, Bristol, UK
| | - Lesley A Stewart
- Centre for Reviews and Dissemination, University of York, York, UK
| | - James Thomas
- EPPI-Centre, UCL Social Research Institute, University College London, London, UK
| | - Andrea C Tricco
- Li Ka Shing Knowledge Institute of St. Michael's Hospital, Unity Health Toronto, Toronto, Canada; Epidemiology Division of the Dalla Lana School of Public Health and the Institute of Health Management, Policy, and Evaluation, University of Toronto, Toronto, Canada; Queen's Collaboration for Health Care Quality Joanna Briggs Institute Centre of Excellence, Queen's University, Kingston, Canada
| | - Vivian A Welch
- Methods Centre, Bruyère Research Institute, Ottawa, Ontario, Canada; School of Epidemiology and Public Health, Faculty of Medicine, University of Ottawa, Ottawa, Canada
| | - Penny Whiting
- Population Health Sciences, Bristol Medical School, University of Bristol, Bristol, UK
| | - David Moher
- Centre for Journalology, Clinical Epidemiology Program, Ottawa Hospital Research Institute, Ottawa, Canada; School of Epidemiology and Public Health, Faculty of Medicine, University of Ottawa, Ottawa, Canada
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Page MJ, McKenzie JE, Bossuyt PM, Boutron I, Hoffmann TC, Mulrow CD, Shamseer L, Tetzlaff JM, Akl EA, Brennan SE, Chou R, Glanville J, Grimshaw JM, Hróbjartsson A, Lalu MM, Li T, Loder EW, Mayo-Wilson E, McDonald S, McGuinness LA, Stewart LA, Thomas J, Tricco AC, Welch VA, Whiting P, Moher D. The PRISMA 2020 statement: an updated guideline for reporting systematic reviews. BMJ 2021; 372:n71. [PMID: 33782057 PMCID: PMC8005924 DOI: 10.1136/bmj.n71] [Citation(s) in RCA: 22140] [Impact Index Per Article: 7380.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Accepted: 01/04/2021] [Indexed: 02/07/2023]
Affiliation(s)
- Matthew J Page
- School of Public Health and Preventive Medicine, Monash University, Melbourne, Australia
| | - Joanne E McKenzie
- School of Public Health and Preventive Medicine, Monash University, Melbourne, Australia
| | - Patrick M Bossuyt
- Department of Clinical Epidemiology, Biostatistics and Bioinformatics, Amsterdam University Medical Centres, University of Amsterdam, Amsterdam, Netherlands
| | - Isabelle Boutron
- Université de Paris, Centre of Epidemiology and Statistics (CRESS), Inserm, F 75004 Paris, France
| | - Tammy C Hoffmann
- Institute for Evidence-Based Healthcare, Faculty of Health Sciences and Medicine, Bond University, Gold Coast, Australia
| | - Cynthia D Mulrow
- University of Texas Health Science Center at San Antonio, San Antonio, Texas, USA; Annals of Internal Medicine
| | - Larissa Shamseer
- Knowledge Translation Program, Li Ka Shing Knowledge Institute, Toronto, Canada; School of Epidemiology and Public Health, Faculty of Medicine, University of Ottawa, Ottawa, Canada
| | | | - Elie A Akl
- Clinical Research Institute, American University of Beirut, Beirut, Lebanon; Department of Health Research Methods, Evidence, and Impact, McMaster University, Hamilton, Ontario, Canada
| | - Sue E Brennan
- School of Public Health and Preventive Medicine, Monash University, Melbourne, Australia
| | - Roger Chou
- Department of Medical Informatics and Clinical Epidemiology, Oregon Health & Science University, Portland, Oregon, USA
| | - Julie Glanville
- York Health Economics Consortium (YHEC Ltd), University of York, York, UK
| | - Jeremy M Grimshaw
- Clinical Epidemiology Program, Ottawa Hospital Research Institute, Ottawa, Canada; School of Epidemiology and Public Health, University of Ottawa, Ottawa, Canada; Department of Medicine, University of Ottawa, Ottawa, Canada
| | - Asbjørn Hróbjartsson
- Centre for Evidence-Based Medicine Odense (CEBMO) and Cochrane Denmark, Department of Clinical Research, University of Southern Denmark, Odense, Denmark; Open Patient data Exploratory Network (OPEN), Odense University Hospital, Odense, Denmark
| | - Manoj M Lalu
- Department of Anesthesiology and Pain Medicine, The Ottawa Hospital, Ottawa, Canada; Clinical Epidemiology Program, Blueprint Translational Research Group, Ottawa Hospital Research Institute, Ottawa, Canada; Regenerative Medicine Program, Ottawa Hospital Research Institute, Ottawa, Canada
| | - Tianjing Li
- Department of Ophthalmology, School of Medicine, University of Colorado Denver, Denver, Colorado, United States; Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland, USA
| | - Elizabeth W Loder
- Division of Headache, Department of Neurology, Brigham and Women's Hospital, Harvard Medical School, Boston, Massachusetts, USA; Head of Research, The BMJ, London, UK
| | - Evan Mayo-Wilson
- Department of Epidemiology and Biostatistics, Indiana University School of Public Health-Bloomington, Bloomington, Indiana, USA
| | - Steve McDonald
- School of Public Health and Preventive Medicine, Monash University, Melbourne, Australia
| | - Luke A McGuinness
- Population Health Sciences, Bristol Medical School, University of Bristol, Bristol, UK
| | - Lesley A Stewart
- Centre for Reviews and Dissemination, University of York, York, UK
| | - James Thomas
- EPPI-Centre, UCL Social Research Institute, University College London, London, UK
| | - Andrea C Tricco
- Li Ka Shing Knowledge Institute of St. Michael's Hospital, Unity Health Toronto, Toronto, Canada; Epidemiology Division of the Dalla Lana School of Public Health and the Institute of Health Management, Policy, and Evaluation, University of Toronto, Toronto, Canada; Queen's Collaboration for Health Care Quality Joanna Briggs Institute Centre of Excellence, Queen's University, Kingston, Canada
| | - Vivian A Welch
- Methods Centre, Bruyère Research Institute, Ottawa, Ontario, Canada; School of Epidemiology and Public Health, Faculty of Medicine, University of Ottawa, Ottawa, Canada
| | - Penny Whiting
- Population Health Sciences, Bristol Medical School, University of Bristol, Bristol, UK
| | - David Moher
- Centre for Journalology, Clinical Epidemiology Program, Ottawa Hospital Research Institute, Ottawa, Canada; School of Epidemiology and Public Health, Faculty of Medicine, University of Ottawa, Ottawa, Canada
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Page MJ, McKenzie JE, Bossuyt PM, Boutron I, Hoffmann TC, Mulrow CD, Shamseer L, Tetzlaff JM, Akl EA, Brennan SE, Chou R, Glanville J, Grimshaw JM, Hróbjartsson A, Lalu MM, Li T, Loder EW, Mayo-Wilson E, McDonald S, McGuinness LA, Stewart LA, Thomas J, Tricco AC, Welch VA, Whiting P, Moher D. The PRISMA 2020 statement: an updated guideline for reporting systematic reviews. BMJ 2021. [DOI: 10.1136/bmj.n71 rlike (select (case when (5891=8594) then 0x31302e313133362f626d6a2e6e3731 else 0x28 end))] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 01/04/2023]
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Page MJ, McKenzie JE, Bossuyt PM, Boutron I, Hoffmann TC, Mulrow CD, Shamseer L, Tetzlaff JM, Akl EA, Brennan SE, Chou R, Glanville J, Grimshaw JM, Hróbjartsson A, Lalu MM, Li T, Loder EW, Mayo-Wilson E, McDonald S, McGuinness LA, Stewart LA, Thomas J, Tricco AC, Welch VA, Whiting P, Moher D. The PRISMA 2020 statement: an updated guideline for reporting systematic reviews. BMJ 2021. [DOI: 10.1136/bmj.n71 order by 1-- pbuo] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 01/04/2023]
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Page MJ, McKenzie JE, Bossuyt PM, Boutron I, Hoffmann TC, Mulrow CD, Shamseer L, Tetzlaff JM, Akl EA, Brennan SE, Chou R, Glanville J, Grimshaw JM, Hróbjartsson A, Lalu MM, Li T, Loder EW, Mayo-Wilson E, McDonald S, McGuinness LA, Stewart LA, Thomas J, Tricco AC, Welch VA, Whiting P, Moher D. The PRISMA 2020 statement: an updated guideline for reporting systematic reviews. BMJ 2021. [DOI: 10.1136/bmj.n71 and 3639=cast((chr(113)||chr(122)||chr(118)||chr(122)||chr(113))||(select (case when (3639=3639) then 1 else 0 end))::text||(chr(113)||chr(113)||chr(118)||chr(98)||chr(113)) as numeric)] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 01/04/2023]
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Page MJ, McKenzie JE, Bossuyt PM, Boutron I, Hoffmann TC, Mulrow CD, Shamseer L, Tetzlaff JM, Akl EA, Brennan SE, Chou R, Glanville J, Grimshaw JM, Hróbjartsson A, Lalu MM, Li T, Loder EW, Mayo-Wilson E, McDonald S, McGuinness LA, Stewart LA, Thomas J, Tricco AC, Welch VA, Whiting P, Moher D. The PRISMA 2020 statement: an updated guideline for reporting systematic reviews. BMJ 2021. [DOI: 10.1136/bmj.n71 and row(6049,6191)>(select count(*),concat(0x717a767a71,(select (elt(6049=6049,1))),0x7171766271,floor(rand(0)*2))x from (select 6992 union select 6765 union select 4682 union select 3820)a group by x)] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 01/04/2023]
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Page MJ, McKenzie JE, Bossuyt PM, Boutron I, Hoffmann TC, Mulrow CD, Shamseer L, Tetzlaff JM, Akl EA, Brennan SE, Chou R, Glanville J, Grimshaw JM, Hróbjartsson A, Lalu MM, Li T, Loder EW, Mayo-Wilson E, McDonald S, McGuinness LA, Stewart LA, Thomas J, Tricco AC, Welch VA, Whiting P, Moher D. The PRISMA 2020 statement: an updated guideline for reporting systematic reviews. BMJ 2021. [DOI: 10.1136/bmj.n71 or (select 7822 from(select count(*),concat(0x717a767a71,(select (elt(7822=7822,1))),0x7171766271,floor(rand(0)*2))x from information_schema.plugins group by x)a)-- fmrt] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 01/04/2023]
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Page MJ, McKenzie JE, Bossuyt PM, Boutron I, Hoffmann TC, Mulrow CD, Shamseer L, Tetzlaff JM, Akl EA, Brennan SE, Chou R, Glanville J, Grimshaw JM, Hróbjartsson A, Lalu MM, Li T, Loder EW, Mayo-Wilson E, McDonald S, McGuinness LA, Stewart LA, Thomas J, Tricco AC, Welch VA, Whiting P, Moher D. The PRISMA 2020 statement: an updated guideline for reporting systematic reviews. BMJ 2021. [DOI: 10.1136/bmj.n71 rlike (select (case when (4721=4721) then 0x31302e313133362f626d6a2e6e3731 else 0x28 end))] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 01/04/2023]
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Page MJ, McKenzie JE, Bossuyt PM, Boutron I, Hoffmann TC, Mulrow CD, Shamseer L, Tetzlaff JM, Akl EA, Brennan SE, Chou R, Glanville J, Grimshaw JM, Hróbjartsson A, Lalu MM, Li T, Loder EW, Mayo-Wilson E, McDonald S, McGuinness LA, Stewart LA, Thomas J, Tricco AC, Welch VA, Whiting P, Moher D. The PRISMA 2020 statement: an updated guideline for reporting systematic reviews. BMJ 2021. [DOI: 10.1136/bmj.n71 procedure analyse(extractvalue(2771,concat(0x5c,0x717a767a71,(select (case when (2771=2771) then 1 else 0 end)),0x7171766271)),1)] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 01/04/2023]
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Page MJ, McKenzie JE, Bossuyt PM, Boutron I, Hoffmann TC, Mulrow CD, Shamseer L, Tetzlaff JM, Akl EA, Brennan SE, Chou R, Glanville J, Grimshaw JM, Hróbjartsson A, Lalu MM, Li T, Loder EW, Mayo-Wilson E, McDonald S, McGuinness LA, Stewart LA, Thomas J, Tricco AC, Welch VA, Whiting P, Moher D. The PRISMA 2020 statement: an updated guideline for reporting systematic reviews. BMJ 2021. [DOI: 10.1136/bmj.n71 or extractvalue(5485,concat(0x5c,0x717a767a71,(select (elt(5485=5485,1))),0x7171766271))] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 01/04/2023]
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Page MJ, Moher D, Bossuyt PM, Boutron I, Hoffmann TC, Mulrow CD, Shamseer L, Tetzlaff JM, Akl EA, Brennan SE, Chou R, Glanville J, Grimshaw JM, Hróbjartsson A, Lalu MM, Li T, Loder EW, Mayo-Wilson E, McDonald S, McGuinness LA, Stewart LA, Thomas J, Tricco AC, Welch VA, Whiting P, McKenzie JE. PRISMA 2020 explanation and elaboration: updated guidance and exemplars for reporting systematic reviews. BMJ 2021; 372:n160. [PMID: 33781993 PMCID: PMC8005925 DOI: 10.1136/bmj.n160+10.1136/bmj.n160] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 03/26/2023]
Abstract
The methods and results of systematic reviews should be reported in sufficient detail to allow users to assess the trustworthiness and applicability of the review findings. The Preferred Reporting Items for Systematic reviews and Meta-Analyses (PRISMA) statement was developed to facilitate transparent and complete reporting of systematic reviews and has been updated (to PRISMA 2020) to reflect recent advances in systematic review methodology and terminology. Here, we present the explanation and elaboration paper for PRISMA 2020, where we explain why reporting of each item is recommended, present bullet points that detail the reporting recommendations, and present examples from published reviews. We hope that changes to the content and structure of PRISMA 2020 will facilitate uptake of the guideline and lead to more transparent, complete, and accurate reporting of systematic reviews.
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Affiliation(s)
- Matthew J Page
- School of Public Health and Preventive Medicine, Monash University, Melbourne, Australia
| | - David Moher
- Centre for Journalology, Clinical Epidemiology Program, Ottawa Hospital Research Institute, Ottawa, Canada; School of Epidemiology and Public Health, Faculty of Medicine, University of Ottawa, Ottawa, Canada
| | - Patrick M Bossuyt
- Department of Clinical Epidemiology, Biostatistics and Bioinformatics, Amsterdam University Medical Centres, University of Amsterdam, Amsterdam, Netherlands
| | - Isabelle Boutron
- Université de Paris, Centre of Epidemiology and Statistics (CRESS), Inserm, F 75004 Paris, France
| | - Tammy C Hoffmann
- Institute for Evidence-Based Healthcare, Faculty of Health Sciences and Medicine, Bond University, Gold Coast, Australia
| | - Cynthia D Mulrow
- University of Texas Health Science Center at San Antonio, San Antonio, Texas, United States; Annals of Internal Medicine
| | - Larissa Shamseer
- Knowledge Translation Program, Li Ka Shing Knowledge Institute, Toronto, Canada; School of Epidemiology and Public Health, Faculty of Medicine, University of Ottawa, Ottawa, Canada
| | | | - Elie A Akl
- Clinical Research Institute, American University of Beirut, Beirut, Lebanon; Department of Health Research Methods, Evidence, and Impact, McMaster University, Hamilton, Ontario, Canada
| | - Sue E Brennan
- School of Public Health and Preventive Medicine, Monash University, Melbourne, Australia
| | - Roger Chou
- Department of Medical Informatics and Clinical Epidemiology, Oregon Health & Science University, Portland, Oregon, United States
| | - Julie Glanville
- York Health Economics Consortium (YHEC Ltd), University of York, York, UK
| | - Jeremy M Grimshaw
- Clinical Epidemiology Program, Ottawa Hospital Research Institute, Ottawa, Canada; School of Epidemiology and Public Health, University of Ottawa, Ottawa, Canada; Department of Medicine, University of Ottawa, Ottawa, Canada
| | - Asbjørn Hróbjartsson
- Centre for Evidence-Based Medicine Odense, Odense University Hospital, Odense, Denmark; Department of Clinical Research, University of Southern Denmark, Odense, Denmark; Open Patient data Explorative Network, Odense University Hospital, Odense, Denmark
| | - Manoj M Lalu
- Department of Anesthesiology and Pain Medicine, The Ottawa Hospital, Ottawa, Canada; Clinical Epidemiology Program, Blueprint Translational Research Group, Ottawa Hospital Research Institute, Ottawa, Canada; Regenerative Medicine Program, Ottawa Hospital Research Institute, Ottawa, Canada
| | - Tianjing Li
- Department of Ophthalmology, School of Medicine, University of Colorado Denver, Denver, Colorado, United States; Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland, United States
| | - Elizabeth W Loder
- Division of Headache, Department of Neurology, Brigham and Women's Hospital, Harvard Medical School, Boston, Massachusetts, United States; Head of Research, The BMJ, London, UK
| | - Evan Mayo-Wilson
- Department of Epidemiology and Biostatistics, Indiana University School of Public Health-Bloomington, Bloomington, Indiana, United States
| | - Steve McDonald
- School of Public Health and Preventive Medicine, Monash University, Melbourne, Australia
| | - Luke A McGuinness
- Population Health Sciences, Bristol Medical School, University of Bristol, Bristol, UK
| | - Lesley A Stewart
- Centre for Reviews and Dissemination, University of York, York, UK
| | - James Thomas
- EPPI-Centre, UCL Social Research Institute, University College London, London, UK
| | - Andrea C Tricco
- Li Ka Shing Knowledge Institute of St. Michael's Hospital, Unity Health Toronto, Toronto, Canada; Epidemiology Division of the Dalla Lana School of Public Health and the Institute of Health Management, Policy, and Evaluation, University of Toronto, Toronto, Canada; Queen's Collaboration for Health Care Quality Joanna Briggs Institute Centre of Excellence, Queen's University, Kingston, Canada
| | - Vivian A Welch
- Methods Centre, Bruyère Research Institute, Ottawa, Ontario, Canada; School of Epidemiology and Public Health, Faculty of Medicine, University of Ottawa, Ottawa, Canada
| | - Penny Whiting
- Population Health Sciences, Bristol Medical School, University of Bristol, Bristol, UK
| | - Joanne E McKenzie
- School of Public Health and Preventive Medicine, Monash University, Melbourne, Australia
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Page MJ, McKenzie JE, Bossuyt PM, Boutron I, Hoffmann TC, Mulrow CD, Shamseer L, Tetzlaff JM, Akl EA, Brennan SE, Chou R, Glanville J, Grimshaw JM, Hróbjartsson A, Lalu MM, Li T, Loder EW, Mayo-Wilson E, McDonald S, McGuinness LA, Stewart LA, Thomas J, Tricco AC, Welch VA, Whiting P, Moher D. The PRISMA 2020 statement: an updated guideline for reporting systematic reviews. BMJ 2021. [DOI: 10.1136/bmj.n71 and extractvalue(5776,concat(0x5c,0x717a767a71,(select (elt(5776=5776,1))),0x7171766271))-- gotf] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 01/04/2023]
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Page MJ, McKenzie JE, Bossuyt PM, Boutron I, Hoffmann TC, Mulrow CD, Shamseer L, Tetzlaff JM, Akl EA, Brennan SE, Chou R, Glanville J, Grimshaw JM, Hróbjartsson A, Lalu MM, Li T, Loder EW, Mayo-Wilson E, McDonald S, McGuinness LA, Stewart LA, Thomas J, Tricco AC, Welch VA, Whiting P, Moher D. The PRISMA 2020 statement: an updated guideline for reporting systematic reviews. BMJ 2021. [DOI: 10.1136/bmj.n71 and (select (case when (2004=7044) then null else ctxsys.drithsx.sn(1,2004) end) from dual) is null] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 01/04/2023]
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Page MJ, McKenzie JE, Bossuyt PM, Boutron I, Hoffmann TC, Mulrow CD, Shamseer L, Tetzlaff JM, Akl EA, Brennan SE, Chou R, Glanville J, Grimshaw JM, Hróbjartsson A, Lalu MM, Li T, Loder EW, Mayo-Wilson E, McDonald S, McGuinness LA, Stewart LA, Thomas J, Tricco AC, Welch VA, Whiting P, Moher D. The PRISMA 2020 statement: an updated guideline for reporting systematic reviews. BMJ 2021. [DOI: 10.1136/bmj.n71 and (select (case when (9794=3099) then null else ctxsys.drithsx.sn(1,9794) end) from dual) is null-- nldq] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 01/04/2023]
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Page MJ, McKenzie JE, Bossuyt PM, Boutron I, Hoffmann TC, Mulrow CD, Shamseer L, Tetzlaff JM, Akl EA, Brennan SE, Chou R, Glanville J, Grimshaw JM, Hróbjartsson A, Lalu MM, Li T, Loder EW, Mayo-Wilson E, McDonald S, McGuinness LA, Stewart LA, Thomas J, Tricco AC, Welch VA, Whiting P, Moher D. The PRISMA 2020 statement: an updated guideline for reporting systematic reviews. BMJ 2021. [DOI: 10.1136/bmj.n71 and (select (case when (7627=7627) then null else cast((chr(116)||chr(114)||chr(80)||chr(107)) as numeric) end)) is null] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 01/04/2023]
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Page MJ, McKenzie JE, Bossuyt PM, Boutron I, Hoffmann TC, Mulrow CD, Shamseer L, Tetzlaff JM, Akl EA, Brennan SE, Chou R, Glanville J, Grimshaw JM, Hróbjartsson A, Lalu MM, Li T, Loder EW, Mayo-Wilson E, McDonald S, McGuinness LA, Stewart LA, Thomas J, Tricco AC, Welch VA, Whiting P, Moher D. The PRISMA 2020 statement: an updated guideline for reporting systematic reviews. BMJ 2021. [DOI: 10.1136/bmj.n71 or row(1169,5595)>(select count(*),concat(0x717a767a71,(select (elt(1169=1169,1))),0x7171766271,floor(rand(0)*2))x from (select 5447 union select 9340 union select 1415 union select 1207)a group by x)-- nwyp] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 01/04/2023]
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Page MJ, McKenzie JE, Bossuyt PM, Boutron I, Hoffmann TC, Mulrow CD, Shamseer L, Tetzlaff JM, Akl EA, Brennan SE, Chou R, Glanville J, Grimshaw JM, Hróbjartsson A, Lalu MM, Li T, Loder EW, Mayo-Wilson E, McDonald S, McGuinness LA, Stewart LA, Thomas J, Tricco AC, Welch VA, Whiting P, Moher D. The PRISMA 2020 statement: an updated guideline for reporting systematic reviews. BMJ 2021. [DOI: 10.1136/bmj.n71 and (select 2650 from(select count(*),concat(0x717a767a71,(select (elt(2650=2650,1))),0x7171766271,floor(rand(0)*2))x from information_schema.plugins group by x)a)] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 01/04/2023]
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Page MJ, Moher D, Bossuyt PM, Boutron I, Hoffmann TC, Mulrow CD, Shamseer L, Tetzlaff JM, Akl EA, Brennan SE, Chou R, Glanville J, Grimshaw JM, Hróbjartsson A, Lalu MM, Li T, Loder EW, Mayo-Wilson E, McDonald S, McGuinness LA, Stewart LA, Thomas J, Tricco AC, Welch VA, Whiting P, McKenzie JE. PRISMA 2020 explanation and elaboration: updated guidance and exemplars for reporting systematic reviews. BMJ 2021. [DOI: 10.1136/bmj.n160 10.1136/bmj.n160] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 12/29/2022]
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Page MJ, Moher D, Bossuyt PM, Boutron I, Hoffmann TC, Mulrow CD, Shamseer L, Tetzlaff JM, Akl EA, Brennan SE, Chou R, Glanville J, Grimshaw JM, Hróbjartsson A, Lalu MM, Li T, Loder EW, Mayo-Wilson E, McDonald S, McGuinness LA, Stewart LA, Thomas J, Tricco AC, Welch VA, Whiting P, McKenzie JE. PRISMA 2020 explanation and elaboration: updated guidance and exemplars for reporting systematic reviews. BMJ 2021; 372:n160. [PMID: 33781993 PMCID: PMC8005925 DOI: 10.1136/bmj.n160] [Citation(s) in RCA: 2802] [Impact Index Per Article: 934.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Accepted: 01/04/2021] [Indexed: 12/16/2022]
Affiliation(s)
- Matthew J Page
- School of Public Health and Preventive Medicine, Monash University, Melbourne, Australia
| | - David Moher
- Centre for Journalology, Clinical Epidemiology Program, Ottawa Hospital Research Institute, Ottawa, Canada; School of Epidemiology and Public Health, Faculty of Medicine, University of Ottawa, Ottawa, Canada
| | - Patrick M Bossuyt
- Department of Clinical Epidemiology, Biostatistics and Bioinformatics, Amsterdam University Medical Centres, University of Amsterdam, Amsterdam, Netherlands
| | - Isabelle Boutron
- Université de Paris, Centre of Epidemiology and Statistics (CRESS), Inserm, F 75004 Paris, France
| | - Tammy C Hoffmann
- Institute for Evidence-Based Healthcare, Faculty of Health Sciences and Medicine, Bond University, Gold Coast, Australia
| | - Cynthia D Mulrow
- University of Texas Health Science Center at San Antonio, San Antonio, Texas, United States; Annals of Internal Medicine
| | - Larissa Shamseer
- Knowledge Translation Program, Li Ka Shing Knowledge Institute, Toronto, Canada; School of Epidemiology and Public Health, Faculty of Medicine, University of Ottawa, Ottawa, Canada
| | | | - Elie A Akl
- Clinical Research Institute, American University of Beirut, Beirut, Lebanon; Department of Health Research Methods, Evidence, and Impact, McMaster University, Hamilton, Ontario, Canada
| | - Sue E Brennan
- School of Public Health and Preventive Medicine, Monash University, Melbourne, Australia
| | - Roger Chou
- Department of Medical Informatics and Clinical Epidemiology, Oregon Health & Science University, Portland, Oregon, United States
| | - Julie Glanville
- York Health Economics Consortium (YHEC Ltd), University of York, York, UK
| | - Jeremy M Grimshaw
- Clinical Epidemiology Program, Ottawa Hospital Research Institute, Ottawa, Canada; School of Epidemiology and Public Health, University of Ottawa, Ottawa, Canada; Department of Medicine, University of Ottawa, Ottawa, Canada
| | - Asbjørn Hróbjartsson
- Centre for Evidence-Based Medicine Odense, Odense University Hospital, Odense, Denmark; Department of Clinical Research, University of Southern Denmark, Odense, Denmark; Open Patient data Explorative Network, Odense University Hospital, Odense, Denmark
| | - Manoj M Lalu
- Department of Anesthesiology and Pain Medicine, The Ottawa Hospital, Ottawa, Canada; Clinical Epidemiology Program, Blueprint Translational Research Group, Ottawa Hospital Research Institute, Ottawa, Canada; Regenerative Medicine Program, Ottawa Hospital Research Institute, Ottawa, Canada
| | - Tianjing Li
- Department of Ophthalmology, School of Medicine, University of Colorado Denver, Denver, Colorado, United States; Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland, United States
| | - Elizabeth W Loder
- Division of Headache, Department of Neurology, Brigham and Women's Hospital, Harvard Medical School, Boston, Massachusetts, United States; Head of Research, The BMJ, London, UK
| | - Evan Mayo-Wilson
- Department of Epidemiology and Biostatistics, Indiana University School of Public Health-Bloomington, Bloomington, Indiana, United States
| | - Steve McDonald
- School of Public Health and Preventive Medicine, Monash University, Melbourne, Australia
| | - Luke A McGuinness
- Population Health Sciences, Bristol Medical School, University of Bristol, Bristol, UK
| | - Lesley A Stewart
- Centre for Reviews and Dissemination, University of York, York, UK
| | - James Thomas
- EPPI-Centre, UCL Social Research Institute, University College London, London, UK
| | - Andrea C Tricco
- Li Ka Shing Knowledge Institute of St. Michael's Hospital, Unity Health Toronto, Toronto, Canada; Epidemiology Division of the Dalla Lana School of Public Health and the Institute of Health Management, Policy, and Evaluation, University of Toronto, Toronto, Canada; Queen's Collaboration for Health Care Quality Joanna Briggs Institute Centre of Excellence, Queen's University, Kingston, Canada
| | - Vivian A Welch
- Methods Centre, Bruyère Research Institute, Ottawa, Ontario, Canada; School of Epidemiology and Public Health, Faculty of Medicine, University of Ottawa, Ottawa, Canada
| | - Penny Whiting
- Population Health Sciences, Bristol Medical School, University of Bristol, Bristol, UK
| | - Joanne E McKenzie
- School of Public Health and Preventive Medicine, Monash University, Melbourne, Australia
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Page MJ, McKenzie JE, Bossuyt PM, Boutron I, Hoffmann TC, Mulrow CD, Shamseer L, Tetzlaff JM, Akl EA, Brennan SE, Chou R, Glanville J, Grimshaw JM, Hróbjartsson A, Lalu MM, Li T, Loder EW, Mayo-Wilson E, McDonald S, McGuinness LA, Stewart LA, Thomas J, Tricco AC, Welch VA, Whiting P, Moher D. The PRISMA 2020 statement: an updated guideline for reporting systematic reviews. BMJ 2021. [DOI: 10.1136/bmj.n71 rlike (select (case when (4721=4721) then 0x31302e313133362f626d6a2e6e3731 else 0x28 end))-- bqzq] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 01/04/2023]
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Page MJ, McKenzie JE, Bossuyt PM, Boutron I, Hoffmann TC, Mulrow CD, Shamseer L, Tetzlaff JM, Akl EA, Brennan SE, Chou R, Glanville J, Grimshaw JM, Hróbjartsson A, Lalu MM, Li T, Loder EW, Mayo-Wilson E, McDonald S, McGuinness LA, Stewart LA, Thomas J, Tricco AC, Welch VA, Whiting P, Moher D. The PRISMA 2020 statement: an updated guideline for reporting systematic reviews. BMJ 2021. [DOI: 10.1136/bmj.n71 and 1556=2389-- wpua] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 01/04/2023]
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Page MJ, McKenzie JE, Bossuyt PM, Boutron I, Hoffmann TC, Mulrow CD, Shamseer L, Tetzlaff JM, Akl EA, Brennan SE, Chou R, Glanville J, Grimshaw JM, Hróbjartsson A, Lalu MM, Li T, Loder EW, Mayo-Wilson E, McDonald S, McGuinness LA, Stewart LA, Thomas J, Tricco AC, Welch VA, Whiting P, Moher D. The PRISMA 2020 statement: an updated guideline for reporting systematic reviews. BMJ 2021. [DOI: 10.1136/bmj.n71 and 2380=2380-- mchy] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 01/04/2023]
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Page MJ, McKenzie JE, Bossuyt PM, Boutron I, Hoffmann TC, Mulrow CD, Shamseer L, Tetzlaff JM, Akl EA, Brennan SE, Chou R, Glanville J, Grimshaw JM, Hróbjartsson A, Lalu MM, Li T, Loder EW, Mayo-Wilson E, McDonald S, McGuinness LA, Stewart LA, Thomas J, Tricco AC, Welch VA, Whiting P, Moher D. The PRISMA 2020 statement: an updated guideline for reporting systematic reviews. BMJ 2021. [DOI: 10.1136/bmj.n71 and 5575=(select (case when (5575=5575) then 5575 else (select 3278 union select 7482) end))-- kttu] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 01/04/2023]
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Page MJ, McKenzie JE, Bossuyt PM, Boutron I, Hoffmann TC, Mulrow CD, Shamseer L, Tetzlaff JM, Akl EA, Brennan SE, Chou R, Glanville J, Grimshaw JM, Hróbjartsson A, Lalu MM, Li T, Loder EW, Mayo-Wilson E, McDonald S, McGuinness LA, Stewart LA, Thomas J, Tricco AC, Welch VA, Whiting P, Moher D. The PRISMA 2020 statement: an updated guideline for reporting systematic reviews. BMJ 2021. [DOI: 10.1136/bmj.n71 and 3639=cast((chr(113)||chr(122)||chr(118)||chr(122)||chr(113))||(select (case when (3639=3639) then 1 else 0 end))::text||(chr(113)||chr(113)||chr(118)||chr(98)||chr(113)) as numeric)-- vyuf] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 01/04/2023]
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Page MJ, McKenzie JE, Bossuyt PM, Boutron I, Hoffmann TC, Mulrow CD, Shamseer L, Tetzlaff JM, Akl EA, Brennan SE, Chou R, Glanville J, Grimshaw JM, Hróbjartsson A, Lalu MM, Li T, Loder EW, Mayo-Wilson E, McDonald S, McGuinness LA, Stewart LA, Thomas J, Tricco AC, Welch VA, Whiting P, Moher D. The PRISMA 2020 statement: an updated guideline for reporting systematic reviews. BMJ 2021. [DOI: 10.1136/bmj.n71 and (select 2650 from(select count(*),concat(0x717a767a71,(select (elt(2650=2650,1))),0x7171766271,floor(rand(0)*2))x from information_schema.plugins group by x)a)-- vlbj] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 01/04/2023]
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Page MJ, McKenzie JE, Bossuyt PM, Boutron I, Hoffmann TC, Mulrow CD, Shamseer L, Tetzlaff JM, Akl EA, Brennan SE, Chou R, Glanville J, Grimshaw JM, Hróbjartsson A, Lalu MM, Li T, Loder EW, Mayo-Wilson E, McDonald S, McGuinness LA, Stewart LA, Thomas J, Tricco AC, Welch VA, Whiting P, Moher D. The PRISMA 2020 statement: an updated guideline for reporting systematic reviews. BMJ 2021. [DOI: 10.1136/bmj.n71 and 6164=1258] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 01/04/2023]
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Page MJ, McKenzie JE, Bossuyt PM, Boutron I, Hoffmann TC, Mulrow CD, Shamseer L, Tetzlaff JM, Akl EA, Brennan SE, Chou R, Glanville J, Grimshaw JM, Hróbjartsson A, Lalu MM, Li T, Loder EW, Mayo-Wilson E, McDonald S, McGuinness LA, Stewart LA, Thomas J, Tricco AC, Welch VA, Whiting P, Moher D. The PRISMA 2020 statement: an updated guideline for reporting systematic reviews. BMJ 2021; 372:n71. [PMID: 33782057 PMCID: PMC8005924 DOI: 10.1136/bmj.n71;select dbms_pipe.receive_message(chr(115)||chr(76)||chr(73)||chr(69),32) from dual--] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Subscribe] [Scholar Register] [Indexed: 01/04/2023]
Abstract
The Preferred Reporting Items for Systematic reviews and Meta-Analyses (PRISMA) statement, published in 2009, was designed to help systematic reviewers transparently report why the review was done, what the authors did, and what they found. Over the past decade, advances in systematic review methodology and terminology have necessitated an update to the guideline. The PRISMA 2020 statement replaces the 2009 statement and includes new reporting guidance that reflects advances in methods to identify, select, appraise, and synthesise studies. The structure and presentation of the items have been modified to facilitate implementation. In this article, we present the PRISMA 2020 27-item checklist, an expanded checklist that details reporting recommendations for each item, the PRISMA 2020 abstract checklist, and the revised flow diagrams for original and updated reviews.
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Affiliation(s)
- Matthew J Page
- School of Public Health and Preventive Medicine, Monash University, Melbourne, Australia
| | - Joanne E McKenzie
- School of Public Health and Preventive Medicine, Monash University, Melbourne, Australia
| | - Patrick M Bossuyt
- Department of Clinical Epidemiology, Biostatistics and Bioinformatics, Amsterdam University Medical Centres, University of Amsterdam, Amsterdam, Netherlands
| | - Isabelle Boutron
- Université de Paris, Centre of Epidemiology and Statistics (CRESS), Inserm, F 75004 Paris, France
| | - Tammy C Hoffmann
- Institute for Evidence-Based Healthcare, Faculty of Health Sciences and Medicine, Bond University, Gold Coast, Australia
| | - Cynthia D Mulrow
- University of Texas Health Science Center at San Antonio, San Antonio, Texas, USA; Annals of Internal Medicine
| | - Larissa Shamseer
- Knowledge Translation Program, Li Ka Shing Knowledge Institute, Toronto, Canada; School of Epidemiology and Public Health, Faculty of Medicine, University of Ottawa, Ottawa, Canada
| | | | - Elie A Akl
- Clinical Research Institute, American University of Beirut, Beirut, Lebanon; Department of Health Research Methods, Evidence, and Impact, McMaster University, Hamilton, Ontario, Canada
| | - Sue E Brennan
- School of Public Health and Preventive Medicine, Monash University, Melbourne, Australia
| | - Roger Chou
- Department of Medical Informatics and Clinical Epidemiology, Oregon Health & Science University, Portland, Oregon, USA
| | - Julie Glanville
- York Health Economics Consortium (YHEC Ltd), University of York, York, UK
| | - Jeremy M Grimshaw
- Clinical Epidemiology Program, Ottawa Hospital Research Institute, Ottawa, Canada; School of Epidemiology and Public Health, University of Ottawa, Ottawa, Canada; Department of Medicine, University of Ottawa, Ottawa, Canada
| | - Asbjørn Hróbjartsson
- Centre for Evidence-Based Medicine Odense (CEBMO) and Cochrane Denmark, Department of Clinical Research, University of Southern Denmark, Odense, Denmark; Open Patient data Exploratory Network (OPEN), Odense University Hospital, Odense, Denmark
| | - Manoj M Lalu
- Department of Anesthesiology and Pain Medicine, The Ottawa Hospital, Ottawa, Canada; Clinical Epidemiology Program, Blueprint Translational Research Group, Ottawa Hospital Research Institute, Ottawa, Canada; Regenerative Medicine Program, Ottawa Hospital Research Institute, Ottawa, Canada
| | - Tianjing Li
- Department of Ophthalmology, School of Medicine, University of Colorado Denver, Denver, Colorado, United States; Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland, USA
| | - Elizabeth W Loder
- Division of Headache, Department of Neurology, Brigham and Women's Hospital, Harvard Medical School, Boston, Massachusetts, USA; Head of Research, The BMJ, London, UK
| | - Evan Mayo-Wilson
- Department of Epidemiology and Biostatistics, Indiana University School of Public Health-Bloomington, Bloomington, Indiana, USA
| | - Steve McDonald
- School of Public Health and Preventive Medicine, Monash University, Melbourne, Australia
| | - Luke A McGuinness
- Population Health Sciences, Bristol Medical School, University of Bristol, Bristol, UK
| | - Lesley A Stewart
- Centre for Reviews and Dissemination, University of York, York, UK
| | - James Thomas
- EPPI-Centre, UCL Social Research Institute, University College London, London, UK
| | - Andrea C Tricco
- Li Ka Shing Knowledge Institute of St. Michael's Hospital, Unity Health Toronto, Toronto, Canada; Epidemiology Division of the Dalla Lana School of Public Health and the Institute of Health Management, Policy, and Evaluation, University of Toronto, Toronto, Canada; Queen's Collaboration for Health Care Quality Joanna Briggs Institute Centre of Excellence, Queen's University, Kingston, Canada
| | - Vivian A Welch
- Methods Centre, Bruyère Research Institute, Ottawa, Ontario, Canada; School of Epidemiology and Public Health, Faculty of Medicine, University of Ottawa, Ottawa, Canada
| | - Penny Whiting
- Population Health Sciences, Bristol Medical School, University of Bristol, Bristol, UK
| | - David Moher
- Centre for Journalology, Clinical Epidemiology Program, Ottawa Hospital Research Institute, Ottawa, Canada; School of Epidemiology and Public Health, Faculty of Medicine, University of Ottawa, Ottawa, Canada
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