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Cucherat M, Demarcq O, Chassany O, Le Jeunne C, Borget I, Collignon C, Diebolt V, Feuilly M, Fiquet B, Leyrat C, Naudet F, Porcher R, Schmidely N, Simon T, Roustit M. Methodological expectations for demonstration of health product effectiveness by observational studies. Therapie 2024:S0040-5957(24)00206-3. [PMID: 39694790 DOI: 10.1016/j.therap.2024.10.062] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/02/2024] [Accepted: 10/04/2024] [Indexed: 12/20/2024]
Abstract
The issue of assessing the effectiveness of health technologies (drugs, devices, etc.) through observational studies is becoming increasingly important as registration and market access agencies consider them in their evaluation process. In this context, observational studies must be able to provide real demonstrations of a level of reliability comparable to those produced by the conventional randomized controlled trial (RCT) approach. The objective of the roundtable was to establish the acceptability criteria for an observational study (non-randomized, non-interventional study) to be able to provide these demonstrations, and possibly serve as a confirmatory study for registration and market access authorities, the construction of therapeutic strategies or the development of recommendations. In order to do this, the study must be a real confirmatory study respecting the hypothetical-deductive approach and guaranteeing the absence of HARKing and p-hacking by attesting to the establishment of a protocol and a statistical analysis plan, recorded before any inferential analysis. It must also be part of a formalized approach to causal inference and demonstrate that it correctly identifies the causal estimand sought. The study should ensure that there is no residual confusion bias by taking into account all confounding factors affecting the comparison, which should be determined by a formal approach (such as a graphical causality approach, DAGs). Residual confusion bias diagnoses by forgery and nullification analysis should be non-existent. The study shall be at low risk of bias, in particular selection bias, among others by using a target test emulation design. Overall type I error risk should be strictly controlled. The absence of selective publication of results and selection bias should be ensured.
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Affiliation(s)
- Michel Cucherat
- Metaevidence.org, service de pharmacologie, hospices civils de Lyon, 69000 Lyon, France
| | - Olivier Demarcq
- Pfizer Inc, Chief Medical Affairs Organization, Pfizer US Commercial Division, 75014 Paris, France
| | - Olivier Chassany
- Unité de recherche clinique en économie de la santé (URC-ECO), hôpital Hôtel-Dieu, AP-HP, 75004 Paris, France
| | - Claire Le Jeunne
- Université Paris Cité, AP-HP, 75000 Paris, France; Hôpital Cochin, 75014 Paris, France
| | - Isabelle Borget
- Gustave Roussy, Biostatistics and Epidemiology Office, université Paris-Saclay, 94810 Villejuif, France; Inserm, université Paris-Saclay, CESP U1018, Oncostat, labeled Ligue contre le cancer, 94810 Villejuif, France
| | | | | | - Marion Feuilly
- Bayer HealthCare SAS, département accès au marché, 59045 Lille, France
| | | | - Clémence Leyrat
- Department of Medical Statistics, London School of Hygiene & Tropical Medicine, WC1E 7HT3 London, United Kingdom
| | - Florian Naudet
- University of Rennes, CHU Rennes, Inserm, EHESP, Irset (Institut de recherche en santé, environnement et travail) -UMR-S 1085, centre d'investigation clinique de Rennes (CIC1414), 35000 Rennes, France; University Institute of France, 75000 Paris, France
| | - Raphaël Porcher
- Université Paris Cité, université Sorbonne Paris Nord, Inserm, INRAe, Centre for Research in Epidemiology and Statistics (CRESS), hôpital Hôtel-Dieu, 75004 Paris, France; Centre d'épidémiologie clinique, hôpital Hôtel-Dieu, AP-HP, 75000 Paris, France
| | | | - Tabassome Simon
- Service de pharmacologie, plateforme de recherche clinique de l'Est parisien, Sorbonne université, AP-HP, 75012 Paris, France
| | - Matthieu Roustit
- University Grenoble Alpes, Inserm, CIC1406, HP2 U1300, CHU Grenoble Alpes, 38043 Grenoble, France.
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Simon-Tillaux N, Martin GL, Hajage D, Scheifer C, Beydon M, Dechartres A, Tubach F. Conducting observational analyses with the target trial emulation approach: a methodological systematic review. BMJ Open 2024; 14:e086595. [PMID: 39532374 PMCID: PMC11574403 DOI: 10.1136/bmjopen-2024-086595] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/16/2024] Open
Abstract
OBJECTIVES Target trial emulation is an approach that is increasingly used to improve transparency in observational studies and help mitigate biases. For studies declaring that they emulated a target trial, we aimed to evaluate the specification of the target trial, examine its consistency with the observational emulation and assess the risk of bias in the observational analysis. DESIGN Methodological systematic review reported in accordance with the Preferred Reporting Items for Systematic Reviews and Meta-Analyses statement. DATA SOURCES The database MEDLINE (Medical Literature Analysis and Retrieval System Online) was interrogated for all studies published from 1 January 2021 to 3 July 2022. We performed an additional manual search of 20 general medical and specialised journals that spanned the same period. ELIGIBILITY CRITERIA All studies that declared emulating a hypothetical or real randomised trial were eligible. DATA EXTRACTION AND SYNTHESIS Two independent reviewers performed the whole systematic review process (screening and selection of studies, data extraction and risk of bias assessment). The main outcomes were the definition of the key protocol components of the target trial and its emulation, consistency between the target trial and its emulation and risk of bias according to the ROBINS-I (Risk Of Bias In Non-randomised Studies - of Interventions) tool. RESULTS Among the selected sample of 100 studies, 24 (24%) did not specify the target trial. Only 40 studies (40%) provided detailed information on all components of the target trial protocol. Eligibility criteria, intervention strategies and outcomes were consistent between the target trial and its emulation in 35 studies (46% of those specifying the target trial). Overall, 28 studies (28%) exhibited serious risk of bias and 41 (41%) had misalignments in the timing of eligibility assessment, treatment assignment and the start of follow-up (time-zero). As compared with studies that did not specify the target trial, those that did specify the trial less frequently seemed to have both time-zero issues (39% vs 52%) and serious risk of bias (26% vs 33%). CONCLUSIONS One-quarter of studies declaring that they emulated a target trial did not specify the trial. Target trials and their emulations were particularly inconsistent for studies emulating a real randomised trial. Risk of methodological issues seemed lower in observational analyses that specified versus did not specify the target trial.
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Affiliation(s)
- Noémie Simon-Tillaux
- Office of Biostatistics and Epidemiology, Gustave Roussy, Oncostat U1018, Inserm, University Paris-Saclay, labeled Ligue Contre le Cancer, Villejuif, France
- Sorbonne Université, INSERM, Institut Pierre Louis d'Epidémiologie et de Santé Publique, Equipe PEPITES, AP-HP, Hôpital Pitié Salpêtrière, Département de Santé Publique, Paris, France
| | - Guillaume L Martin
- Sorbonne Université, INSERM, Institut Pierre Louis d'Epidémiologie et de Santé Publique, Equipe PEPITES, AP-HP, Hôpital Pitié Salpêtrière, Département de Santé Publique, Paris, France
| | - David Hajage
- Sorbonne Université, INSERM, Institut Pierre Louis d'Epidémiologie et de Santé Publique, Equipe PEPITES, AP-HP, Hôpital Pitié Salpêtrière, Département de Santé Publique, Paris, France
| | - Carole Scheifer
- Sorbonne Université, INSERM, Institut Pierre Louis d'Epidémiologie et de Santé Publique, Equipe PEPITES, AP-HP, Hôpital Pitié Salpêtrière, Département de Santé Publique, Paris, France
| | - Maxime Beydon
- Sorbonne Université, INSERM, Institut Pierre Louis d'Epidémiologie et de Santé Publique, Equipe PEPITES, AP-HP, Hôpital Pitié Salpêtrière, Département de Santé Publique, Paris, France
| | - Agnes Dechartres
- Sorbonne Université, INSERM, Institut Pierre Louis d'Epidémiologie et de Santé Publique, Equipe PEPITES, AP-HP, Hôpital Pitié Salpêtrière, Département de Santé Publique, Paris, France
| | - Florence Tubach
- Sorbonne Université, INSERM, Institut Pierre Louis d'Epidémiologie et de Santé Publique, Equipe PEPITES, AP-HP, Hôpital Pitié Salpêtrière, Département de Santé Publique, Paris, France
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Kim T, Kim H, Shin SH, Im Y, Kong S, Choi HS, Zo S, Kim SH, Choi Y, Kang D, Park HY. Association of moderate-to-vigorous physical activity with reduction of acute exacerbation in COPD patients using a dual ultra-long-acting bronchodilators. Sci Rep 2024; 14:26440. [PMID: 39488629 PMCID: PMC11531541 DOI: 10.1038/s41598-024-75702-9] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/21/2024] [Accepted: 10/08/2024] [Indexed: 11/04/2024] Open
Abstract
Inhaler therapy and physical activity (PA) are important methods of chronic obstructive pulmonary disease (COPD) management. This study aimed to investigate the additional benefit of moderate-to-vigorous PA (MVPA) in patients with COPD using a long-acting beta-agonists (LABA)/long-acting muscarinic antagonist (LAMA) combination. We emulated a target trial to estimate the benefit of MVPA in patients with COPD using a dual ultra-long-acting bronchodilators. We enrolled patients aged ≥ 40 who were diagnosed with COPD between 2014 and 2018, initiated a LABA/LAMA combination, and had not undergone regular MVPA. The main exposure was the initiation of MVPA, defined as vigorous aerobic exercise > 20 min per day on ≥ 3 days/week or moderate aerobic exercise > 30 min per day on ≥ 5 days/week. The main outcomes were the future usage of inhaled corticosteroids (ICS) and severe exacerbation. We identified 1,526 patients who initiated MVPA and 4,516 who did not. The median follow-up period was 3.0 years. The hazard ratio (HR) for future ICS usage in the MVPA initiation group was 0.83 (95% confidence intervals (CI): 0.72, 0.97) compared to the control group. The HR for severe exacerbation in the MVPA initiation group was 0.81 (95% CI: 0.68, 0.96) compared to the control group. Subgroup analyses by age, sex, body mass index, residence area, smoking and drinking status showed consistent benefits in these outcomes. Initiation of MVPA may offer an additional benefit for even COPD patients who use a dual ultra-long-acting bronchodilators.
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Affiliation(s)
- Taeyun Kim
- Department of Internal Medicine, Kosin University Gospel Hospital, Kosin University College of Medicine, Busan, Republic of Korea
| | - Hyunsoo Kim
- Center for Clinical Epidemiology, Samsung Medical Center, Seoul, Republic of Korea
| | - Sun Hye Shin
- Division of Pulmonary and Critical Care Medicine, Department of Internal Medicine, Samsung Medical Center, Sungkyunkwan University School of Medicine, 81 Irwon-ro, Gangnam-gu, Seoul, 06351, Republic of Korea
| | - Yunjoo Im
- Division of Pulmonary and Critical Care Medicine, Department of Internal Medicine, Samsung Medical Center, Sungkyunkwan University School of Medicine, 81 Irwon-ro, Gangnam-gu, Seoul, 06351, Republic of Korea
| | - Sunga Kong
- Center for Clinical Epidemiology, Samsung Medical Center, Seoul, Republic of Korea
- Patient-Centered Outcomes Research Institute, Samsung Medical Center, Seoul, Republic of Korea
| | - Hye Sook Choi
- Division of Pulmonary, Allergy, and Critical Care Medicine, Department of Internal Medicine, Kyung Hee University Hospital, Seoul, Republic of Korea
| | - Sungmin Zo
- Division of Pulmonology, Department of Internal Medicine, Gangnam Severance Hospital, Yonsei University College of Medicine, Seoul, Republic of Korea
| | - Sang Hyuk Kim
- Division of Pulmonary, Allergy, and Critical Care Medicine, Department of Internal Medicine, Dongguk University Gyeongju Hospital, Dongguk University College of Medicine, Gyeongju, Republic of Korea
| | - Yeonseok Choi
- Division of Pulmonary, Allergy, and Critical Care Medicine, Department of Internal Medicine, Kyung Hee University Hospital, Seoul, Republic of Korea
| | - Danbee Kang
- Center for Clinical Epidemiology, Samsung Medical Center, Seoul, Republic of Korea.
- Department of Clinical Research Design and Evaluation, SAIHST, Sungkyunkwan University, 115 Irwon-ro, Seoul, Gangnam, 06335, Republic of Korea.
| | - Hye Yun Park
- Division of Pulmonary and Critical Care Medicine, Department of Internal Medicine, Samsung Medical Center, Sungkyunkwan University School of Medicine, 81 Irwon-ro, Gangnam-gu, Seoul, 06351, Republic of Korea.
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Cucherat M, Demarcq O, Chassany O, Le Jeunne C, Borget I, Collignon C, Diebolt V, Feuilly M, Fiquet B, Leyrat C, Naudet F, Porcher R, Schmidely N, Simon T, Roustit M. Attentes méthodologiques pour la démonstration de l’efficacité des produits de santé par les études observationnelles. Therapie 2024:S0040-5957(24)00168-9. [PMID: 39537531 DOI: 10.1016/j.therap.2024.10.052] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/16/2024]
Affiliation(s)
- Michel Cucherat
- Metaevidence.org, service de pharmacologie, hospices civils de Lyon, 69000 Lyon, France
| | - Olivier Demarcq
- Pfizer Inc, Chief Medical Affairs Organization, Pfizer US Commercial Division, 75014 Paris, France
| | - Olivier Chassany
- Unité de recherche clinique en économie de la santé (URC-ECO), hôpital Hôtel-Dieu, AP-HP, 75004 Paris, France
| | - Claire Le Jeunne
- Université Paris Cité, AP-HP, 75000 Paris, France; Hôpital Cochin, 75014 Paris, France
| | - Isabelle Borget
- Gustave Roussy, Biostatistics and Epidemiology Office, université Paris-Saclay, 94810 Villejuif, France; Inserm, université Paris-Saclay, CESP U1018, Oncostat, labeled Ligue contre le cancer, 94810 Villejuif, France
| | | | | | - Marion Feuilly
- Bayer HealthCare SAS, département accès au marché, 59045 Lille, France
| | | | - Clémence Leyrat
- Department of Medical Statistics, London School of Hygiene & Tropical Medicine, WC1E 7HT3 London, Royaume-Uni
| | - Florian Naudet
- University of Rennes, CHU Rennes, Inserm, EHESP, Irset (Institut de recherche en santé, environnement et travail) -UMR-S 1085, centre d'investigation clinique de Rennes (CIC1414), 35000 Rennes, France; University Institute of France, 75000 Paris, France
| | - Raphaël Porcher
- Université Paris Cité, université Sorbonne Paris Nord, Inserm, INRAe, Centre for Research in Epidemiology and Statistics (CRESS), hôpital Hôtel-Dieu, 75004 Paris, France; Centre d'épidémiologie clinique, hôpital Hôtel-Dieu, AP-HP, 75000 Paris, France
| | | | - Tabassome Simon
- Service de pharmacologie, plateforme de recherche clinique de l'Est parisien, Sorbonne université, AP-HP, 75012 Paris, France
| | - Matthieu Roustit
- Université de Grenoble Alpes, Inserm, CIC1406, HP2 U1300, CHU Grenoble Alpes, 38043 Grenoble, France.
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Thorlund K, Shephard C, Machado L, Bourgouin T, Hudson L, Ting E, Dempster W, Bick R. Adapting Health Technology Assessment agency standards for surrogate outcomes in early stage cancer trials: what needs to happen? Expert Rev Pharmacoecon Outcomes Res 2024; 24:331-342. [PMID: 38189086 DOI: 10.1080/14737167.2024.2302431] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/07/2023] [Accepted: 01/03/2024] [Indexed: 01/09/2024]
Abstract
INTRODUCTION An avalanche of early stage cancer clinical trials is coming. The majority of these solely use surrogate outcomes that have not been validated against a target outcome of interest (e.g. overall survival). Current HTA guidance on surrogate outcome validation are not methodologically or practically conducive to this scenario. AREAS COVERED We provide a high-level overview of methods, approaches, and conceptual thinking for making better use of limited evidence within early stage cancer HTA submissions. We outline regulatory and HTA issues and emphasize how evidence transitions from one to another, what major gaps currently exist, and how these may be bridged. We summarize current methodologies and practices, their pros and cons. We outline how complementary measurements strengthen evaluations and address fallacies and biases of conventional statistical methods for surrogate outcomes validation. The value of real-world data to support some of the necessary validity components is discussed. Lastly, we address the importance of the patient voice for better understanding which surrogate outcomes may appropriately inform HTA. EXPERT OPINION Conventional surrogate outcome validation represents a fraught and sub-optimal framework for HTA purposes, particularly for early stage cancer. Tools for optimizing use of limited evidence exist. Education of stakeholders is highly needed.
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Affiliation(s)
- Kristian Thorlund
- Department of Health Research Methods, Evidence, and Impact, McMaster University, Hamilton, Ontario, Canada
| | - Cal Shephard
- AstraZeneca Canada, Mississauga, Ontario, Canada
| | | | | | | | - Eon Ting
- AstraZeneca Canada, Mississauga, Ontario, Canada
| | | | - Robert Bick
- The CanCertainty Coalition, Toronto, Ontario, Canada
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Côté P, Negrini S, Donzelli S, Kiekens C, Arienti C, Ceravolo MG, Gross DP, Battel I, Ferriero G, Lazzarini SG, Dan B, Shearer HM, Wong JJ. Introduction to target trial emulation in rehabilitation: a systematic approach to emulate a randomized controlled trial using observational data. Eur J Phys Rehabil Med 2024; 60:145-153. [PMID: 38420907 PMCID: PMC10938938 DOI: 10.23736/s1973-9087.24.08435-1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/22/2024] [Accepted: 01/26/2024] [Indexed: 03/02/2024]
Abstract
Rehabilitation providers and policymakers need valid evidence to make informed decisions about the healthcare needs of the population. Whenever possible, these decisions should be informed by randomized controlled trials (RCTs). However, there are circumstances when evidence needs to be generated rapidly, or when RCTs are not ethical or feasible. These situations apply to studying the effects of complex interventions, including rehabilitation as defined by Cochrane Rehabilitation. Therefore, we explore using the target trial emulation framework by Hernán and colleagues to obtain valid estimates of the causal effects of rehabilitation when RCTs cannot be conducted. Target trial emulation is a framework guiding the design and analysis of non-randomized comparative effectiveness studies using observational data, by emulating a hypothetical RCT. In the context of rehabilitation, we outline steps for applying the target trial emulation framework using real world data, highlighting methodological considerations, limitations, potential mitigating strategies, and causal inference and counterfactual theory as foundational principles to estimating causal effects. Overall, we aim to strengthen methodological approaches used to estimate causal effects of rehabilitation when RCTs cannot be conducted.
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Affiliation(s)
- Pierre Côté
- Institute for Disability and Rehabilitation Research, Faculty of Health Sciences, Ontario Tech University, Oshawa, ON, Canada
| | - Stefano Negrini
- Department of Biomedical, Surgical and Dentals Sciences, University "La Statale", Milan, Italy
- IRCCS Istituto Ortopedico Galeazzi, Milan, Italy
| | - Sabrina Donzelli
- Department of Orthopedics, University Medical Center, Utrecht, the Netherlands
- Harvard T.H. Chan School of Public Health, Boston, MA, USA
| | | | | | - Maria G Ceravolo
- Department of Experimental and Clinical Medicine, Polytechnic University of Marche University, Ancona, Italy
| | - Douglas P Gross
- Department of Physical Therapy, University of Alberta, Edmonton, AB, Canada
| | - Irene Battel
- Department of Biomedical, Surgical and Dentals Sciences, University "La Statale", Milan, Italy -
| | - Giorgio Ferriero
- Department of Biotechnology and Life Sciences, University of Insubria, Varese, Italy
- Physical Rehabilitation Medicine Unit, Scientific Institute of Tradate IRCCS, Istituti Clinici Scientifici Maugeri, Tradate, Varese, Italy
| | | | - Bernard Dan
- Faculty of Psychology and Educational Sciences, Université Libre de Bruxelles, Brussels, Belgium
- Inkendaal Rehabilitation Hospital, Vlezenbeek, Belgium
| | - Heather M Shearer
- Institute for Disability and Rehabilitation Research, Faculty of Health Sciences, Ontario Tech University, Oshawa, ON, Canada
- Division of Research, Canadian Memorial Chiropractic College, Toronto, ON, Canada
| | - Jessica J Wong
- Institute for Disability and Rehabilitation Research, Faculty of Health Sciences, Ontario Tech University, Oshawa, ON, Canada
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Matthews AA, Young JC, Kurth T. The target trial framework in clinical epidemiology: principles and applications. J Clin Epidemiol 2023; 164:112-115. [PMID: 37863299 DOI: 10.1016/j.jclinepi.2023.10.008] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/30/2023] [Revised: 10/12/2023] [Accepted: 10/16/2023] [Indexed: 10/22/2023]
Affiliation(s)
- Anthony A Matthews
- CAUSALab, Unit of Epidemiology, Institute of Environmental Medicine, Karolinska Institutet, Stockholm, Sweden
| | - Jessica C Young
- CAUSALab, Unit of Epidemiology, Institute of Environmental Medicine, Karolinska Institutet, Stockholm, Sweden
| | - Tobias Kurth
- Institute of Public Health, Charité - Universitätsmedizin Berlin, Berlin, Germany.
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Hansford HJ, Cashin AG, Jones MD, Swanson SA, Islam N, Dahabreh IJ, Dickerman BA, Egger M, Garcia-Albeniz X, Golub RM, Lodi S, Moreno-Betancur M, Pearson SA, Schneeweiss S, Sterne J, Sharp MK, Stuart EA, Hernan MA, Lee H, McAuley JH. Development of the TrAnsparent ReportinG of observational studies Emulating a Target trial (TARGET) guideline. BMJ Open 2023; 13:e074626. [PMID: 37699620 PMCID: PMC10503363 DOI: 10.1136/bmjopen-2023-074626] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/12/2023] [Accepted: 08/25/2023] [Indexed: 09/14/2023] Open
Abstract
BACKGROUND Observational studies are increasingly used to inform health decision-making when randomised trials are not feasible, ethical or timely. The target trial approach provides a framework to help minimise common biases in observational studies that aim to estimate the causal effect of interventions. Incomplete reporting of studies using the target trial framework limits the ability for clinicians, researchers, patients and other decision-makers to appraise, synthesise and interpret findings to inform clinical and public health practice and policy. This paper describes the methods that we will use to develop the TrAnsparent ReportinG of observational studies Emulating a Target trial (TARGET) reporting guideline. METHODS/DESIGN The TARGET reporting guideline will be developed in five stages following recommended guidance. The first stage will identify target trial reporting practices by systematically reviewing published studies that explicitly emulated a target trial. The second stage will identify and refine items to be considered for inclusion in the TARGET guideline by consulting content experts using sequential online surveys. The third stage will prioritise and consolidate key items to be included in the TARGET guideline at an in-person consensus meeting of TARGET investigators. The fourth stage will produce and pilot-test both the TARGET guideline and explanation and elaboration document with relevant stakeholders. The fifth stage will disseminate the TARGET guideline and resources via journals, conferences and courses. ETHICS AND DISSEMINATION Ethical approval for the survey has been attained (HC220536). The TARGET guideline will be disseminated widely in partnership with stakeholders to maximise adoption and improve reporting of these studies.
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Affiliation(s)
- Harrison J Hansford
- School of Health Sciences, Faculty of Medicine and Health, UNSW Sydney, Sydney, New South Wales, Australia
- Centre for Pain IMPACT, Neuroscience Research Australia, Randwick, New South Wales, Australia
| | - Aidan G Cashin
- School of Health Sciences, Faculty of Medicine and Health, UNSW Sydney, Sydney, New South Wales, Australia
- Centre for Pain IMPACT, Neuroscience Research Australia, Randwick, New South Wales, Australia
| | - Matthew D Jones
- School of Health Sciences, Faculty of Medicine and Health, UNSW Sydney, Sydney, New South Wales, Australia
- Centre for Pain IMPACT, Neuroscience Research Australia, Randwick, New South Wales, Australia
| | - Sonja A Swanson
- Department of Epidemiology, University of Pittsburgh, Pittsburgh, Pennsylvania, USA
- CAUSALab, Harvard T.H. Chan School of Public Health, Boston, Massachusetts, USA
- Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, Massachusetts, USA
| | - Nazrul Islam
- Oxford Population Health, Big Data Institute, University of Oxford, Oxford, UK
- Faculty of Medicine, University of Southampton, Southampton, UK
| | - Issa J Dahabreh
- CAUSALab, Harvard T.H. Chan School of Public Health, Boston, Massachusetts, USA
- Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, Massachusetts, USA
- Department of Biostatistics, Harvard T.H. Chan School of Public Health, Boston, Massachusetts, USA
| | - Barbra A Dickerman
- CAUSALab, Harvard T.H. Chan School of Public Health, Boston, Massachusetts, USA
- Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, Massachusetts, USA
| | - Matthias Egger
- Institute of Social & Preventive Medicine, University of Bern, Bern, Switzerland
- Centre for Infectious Disease Epidemiology and Research, University of Cape Town Faculty of Health Sciences, Observatory, Western Cape, South Africa
- Population Health Sciences, Bristol Medical School, University of Bristol, Bristol, UK
| | - Xavier Garcia-Albeniz
- CAUSALab, Harvard T.H. Chan School of Public Health, Boston, Massachusetts, USA
- RTI Health Solutions Barcelona, Barcelona, Catalunya, Spain
| | - Robert M Golub
- Department of Medicine, Northwestern University Feinberg School of Medicine, Chicago, Illinois, USA
| | - Sara Lodi
- CAUSALab, Harvard T.H. Chan School of Public Health, Boston, Massachusetts, USA
- Department of Biostatistics, Boston University School of Public Health, Boston, Massachusetts, USA
| | - Margarita Moreno-Betancur
- Clinical Epidemiology & Biostatistics Unit, Murdoch Children's Research Institute, Melbourne, Victoria, Australia
- Department of Paediatrics, The University of Melbourne, Melbourne, Victoria, Australia
| | - Sallie-Anne Pearson
- School of Population Health, Faculty of Medicine and Health, UNSW Sydney, Sydney, New South Wales, Australia
| | - Sebastian Schneeweiss
- Division of Pharmacoepidemiology, Department of Medicine, Brigham & Women's Hospital, Harvard Medical School, Boston, Massachusetts, USA
| | - Jonathan Sterne
- Department of Population Health Sciences, University of Bristol, Bristol, UK
- NIHR Bristol Biomedical Research Centre, Bristol, UK
- Health Data Research UK South-West, Bristol, UK
| | - Melissa K Sharp
- Department of Public Health and Epidemiology, RCSI University of Medicine and Health Sciences, Dublin, Ireland
| | - Elizabeth A Stuart
- Department of Biostatistics, Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland, USA
| | - Miguel A Hernan
- CAUSALab, Harvard T.H. Chan School of Public Health, Boston, Massachusetts, USA
- Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, Massachusetts, USA
- Department of Biostatistics, Harvard T.H. Chan School of Public Health, Boston, Massachusetts, USA
| | - Hopin Lee
- University of Exeter Medical School, Exeter, UK
- EMEA Methods and Evidence Generation, IQVIA London, London, UK
| | - James H McAuley
- School of Health Sciences, Faculty of Medicine and Health, UNSW Sydney, Sydney, New South Wales, Australia
- Centre for Pain IMPACT, Neuroscience Research Australia, Randwick, New South Wales, Australia
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