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Subgroup Analysis of Trials Is Rarely Easy (SATIRE): a study protocol for a systematic review to characterize the analysis, reporting, and claim of subgroup effects in randomized trials

BACKGROUND: Subgroup analyses in randomized trials examine whether effects of interventions differ between subgroups of study populations according to characteristics of patients or interventions. However, findings from subgroup analyses may be misleading, potentially resulting in suboptimal clinica...

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Autores principales: Sun, Xin, Briel, Matthias, Busse, Jason W, Akl, Elie A, You, John J, Mejza, Filip, Bala, Malgorzata, Diaz-Granados, Natalia, Bassler, Dirk, Mertz, Dominik, Srinathan, Sadeesh K, Vandvik, Per Olav, Malaga, German, Alshurafa, Mohamed, Dahm, Philipp, Alonso-Coello, Pablo, Heels-Ansdell, Diane M, Bhatnagar, Neera, Johnston, Bradley C, Wang, Li, Walter, Stephen D, Altman, Douglas G, Guyatt, Gordon H
Formato: Texto
Lenguaje:English
Publicado: BioMed Central 2009
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2777862/
https://www.ncbi.nlm.nih.gov/pubmed/19900273
http://dx.doi.org/10.1186/1745-6215-10-101
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author Sun, Xin
Briel, Matthias
Busse, Jason W
Akl, Elie A
You, John J
Mejza, Filip
Bala, Malgorzata
Diaz-Granados, Natalia
Bassler, Dirk
Mertz, Dominik
Srinathan, Sadeesh K
Vandvik, Per Olav
Malaga, German
Alshurafa, Mohamed
Dahm, Philipp
Alonso-Coello, Pablo
Heels-Ansdell, Diane M
Bhatnagar, Neera
Johnston, Bradley C
Wang, Li
Walter, Stephen D
Altman, Douglas G
Guyatt, Gordon H
author_facet Sun, Xin
Briel, Matthias
Busse, Jason W
Akl, Elie A
You, John J
Mejza, Filip
Bala, Malgorzata
Diaz-Granados, Natalia
Bassler, Dirk
Mertz, Dominik
Srinathan, Sadeesh K
Vandvik, Per Olav
Malaga, German
Alshurafa, Mohamed
Dahm, Philipp
Alonso-Coello, Pablo
Heels-Ansdell, Diane M
Bhatnagar, Neera
Johnston, Bradley C
Wang, Li
Walter, Stephen D
Altman, Douglas G
Guyatt, Gordon H
author_sort Sun, Xin
collection PubMed
description BACKGROUND: Subgroup analyses in randomized trials examine whether effects of interventions differ between subgroups of study populations according to characteristics of patients or interventions. However, findings from subgroup analyses may be misleading, potentially resulting in suboptimal clinical and health decision making. Few studies have investigated the reporting and conduct of subgroup analyses and a number of important questions remain unanswered. The objectives of this study are: 1) to describe the reporting of subgroup analyses and claims of subgroup effects in randomized controlled trials, 2) to assess study characteristics associated with reporting of subgroup analyses and with claims of subgroup effects, and 3) to examine the analysis, and interpretation of subgroup effects for each study's primary outcome. METHODS: We will conduct a systematic review of 464 randomized controlled human trials published in 2007 in the 118 Core Clinical Journals defined by the National Library of Medicine. We will randomly select journal articles, stratified in a 1:1 ratio by higher impact versus lower impact journals. According to 2007 ISI total citations, we consider the New England Journal of Medicine, JAMA, Lancet, Annals of Internal Medicine, and BMJ as higher impact journals. Teams of two reviewers will independently screen full texts of reports for eligibility, and abstract data, using standardized, pilot-tested extraction forms. We will conduct univariable and multivariable logistic regression analyses to examine the association of pre-specified study characteristics with reporting of subgroup analyses and with claims of subgroup effects for the primary and any other outcomes. DISCUSSION: A clear understanding of subgroup analyses, as currently conducted and reported in published randomized controlled trials, will reveal both strengths and weaknesses of this practice. Our findings will contribute to a set of recommendations to optimize the conduct and reporting of subgroup analyses, and claim and interpretation of subgroup effects in randomized trials.
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spelling pubmed-27778622009-11-17 Subgroup Analysis of Trials Is Rarely Easy (SATIRE): a study protocol for a systematic review to characterize the analysis, reporting, and claim of subgroup effects in randomized trials Sun, Xin Briel, Matthias Busse, Jason W Akl, Elie A You, John J Mejza, Filip Bala, Malgorzata Diaz-Granados, Natalia Bassler, Dirk Mertz, Dominik Srinathan, Sadeesh K Vandvik, Per Olav Malaga, German Alshurafa, Mohamed Dahm, Philipp Alonso-Coello, Pablo Heels-Ansdell, Diane M Bhatnagar, Neera Johnston, Bradley C Wang, Li Walter, Stephen D Altman, Douglas G Guyatt, Gordon H Trials Study Protocol BACKGROUND: Subgroup analyses in randomized trials examine whether effects of interventions differ between subgroups of study populations according to characteristics of patients or interventions. However, findings from subgroup analyses may be misleading, potentially resulting in suboptimal clinical and health decision making. Few studies have investigated the reporting and conduct of subgroup analyses and a number of important questions remain unanswered. The objectives of this study are: 1) to describe the reporting of subgroup analyses and claims of subgroup effects in randomized controlled trials, 2) to assess study characteristics associated with reporting of subgroup analyses and with claims of subgroup effects, and 3) to examine the analysis, and interpretation of subgroup effects for each study's primary outcome. METHODS: We will conduct a systematic review of 464 randomized controlled human trials published in 2007 in the 118 Core Clinical Journals defined by the National Library of Medicine. We will randomly select journal articles, stratified in a 1:1 ratio by higher impact versus lower impact journals. According to 2007 ISI total citations, we consider the New England Journal of Medicine, JAMA, Lancet, Annals of Internal Medicine, and BMJ as higher impact journals. Teams of two reviewers will independently screen full texts of reports for eligibility, and abstract data, using standardized, pilot-tested extraction forms. We will conduct univariable and multivariable logistic regression analyses to examine the association of pre-specified study characteristics with reporting of subgroup analyses and with claims of subgroup effects for the primary and any other outcomes. DISCUSSION: A clear understanding of subgroup analyses, as currently conducted and reported in published randomized controlled trials, will reveal both strengths and weaknesses of this practice. Our findings will contribute to a set of recommendations to optimize the conduct and reporting of subgroup analyses, and claim and interpretation of subgroup effects in randomized trials. BioMed Central 2009-11-09 /pmc/articles/PMC2777862/ /pubmed/19900273 http://dx.doi.org/10.1186/1745-6215-10-101 Text en Copyright © 2009 Sun et al; licensee BioMed Central Ltd. http://creativecommons.org/licenses/by/2.0 This is an Open Access article distributed under the terms of the Creative Commons Attribution License ( (http://creativecommons.org/licenses/by/2.0) ), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Study Protocol
Sun, Xin
Briel, Matthias
Busse, Jason W
Akl, Elie A
You, John J
Mejza, Filip
Bala, Malgorzata
Diaz-Granados, Natalia
Bassler, Dirk
Mertz, Dominik
Srinathan, Sadeesh K
Vandvik, Per Olav
Malaga, German
Alshurafa, Mohamed
Dahm, Philipp
Alonso-Coello, Pablo
Heels-Ansdell, Diane M
Bhatnagar, Neera
Johnston, Bradley C
Wang, Li
Walter, Stephen D
Altman, Douglas G
Guyatt, Gordon H
Subgroup Analysis of Trials Is Rarely Easy (SATIRE): a study protocol for a systematic review to characterize the analysis, reporting, and claim of subgroup effects in randomized trials
title Subgroup Analysis of Trials Is Rarely Easy (SATIRE): a study protocol for a systematic review to characterize the analysis, reporting, and claim of subgroup effects in randomized trials
title_full Subgroup Analysis of Trials Is Rarely Easy (SATIRE): a study protocol for a systematic review to characterize the analysis, reporting, and claim of subgroup effects in randomized trials
title_fullStr Subgroup Analysis of Trials Is Rarely Easy (SATIRE): a study protocol for a systematic review to characterize the analysis, reporting, and claim of subgroup effects in randomized trials
title_full_unstemmed Subgroup Analysis of Trials Is Rarely Easy (SATIRE): a study protocol for a systematic review to characterize the analysis, reporting, and claim of subgroup effects in randomized trials
title_short Subgroup Analysis of Trials Is Rarely Easy (SATIRE): a study protocol for a systematic review to characterize the analysis, reporting, and claim of subgroup effects in randomized trials
title_sort subgroup analysis of trials is rarely easy (satire): a study protocol for a systematic review to characterize the analysis, reporting, and claim of subgroup effects in randomized trials
topic Study Protocol
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2777862/
https://www.ncbi.nlm.nih.gov/pubmed/19900273
http://dx.doi.org/10.1186/1745-6215-10-101
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