ArticleTrials2016
No improvement in the reporting of clinical trial subgroup effects in high-impact general medical journals.
Article in Trials, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers, 4 of them syntheses that pooled it.
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Who cites it
13 citing papers in PubMed, 4 syntheses or guidelines pooled it.
- The credibility of subgroup analyses reported in stroke trials is low: A systematic review.International journal of stroke : official journal of the International Stroke Society · 2023Pooled it
- Treatment effect modification due to comorbidity: Individual participant data meta-analyses of 120 randomised controlled trials.PLoS medicine · 2023Pooled it
- A systematic review of subgroup analyses in randomised clinical trials in cardiovascular disease.Clinical trials (London, England) · 2021Pooled it
- Multimorbidity in randomized controlled trials of behavioral interventions: A systematic review.Health psychology : official journal of the Division of Health Psychology, American Psychological Association · 2019Pooled it
- Description of subgroup reporting in clinical trials of chronic diseases: a meta-epidemiological study.BMJ open · 2024Article
- Quality of observational studies of clinical interventions: a meta-epidemiological review.BMC medical research methodology · 2022Review
- A Machine-Learning Approach for Estimating Subgroup- and Individual-Level Treatment Effects: An Illustration Using the 65 Trial.Medical decision making : an international journal of the Society for Medical Decision Making · 2022Article
- Subgroup Analysis in Pulmonary Hypertension-Specific Therapy Clinical Trials: A Systematic Review.Journal of personalized medicine · 2022Review
- Review
- Development of the Instrument to assess the Credibility of Effect Modification Analyses (ICEMAN) in randomized controlled trials and meta-analyses.CMAJ : Canadian Medical Association journal = journal de l'Association medicale canadienne · 2020Article
- Article
- Impact of metformin use on the cardiovascular effects of dipeptidyl peptidase-4 inhibitors: An analysis of Medicare claims data from 2007 to 2015.Diabetes, obesity & metabolism · 2019Article
- Heterogeneity in Response to Treatment of Adolescents with Severe Obesity: The Need for Precision Obesity Medicine.Obesity (Silver Spring, Md.) · 2019Article
Corrections and comments
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Authors and funding
9 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundWhen subgroup analyses are not correctly analyzed and reported, incorrect conclusions may be drawn, and inappropriate treatments provided. Despite the increased recognition of the importance of subgroup analysis, little information exists regarding the prevalence, appropriateness, and study characteristics that influence subgroup analysis. The objective of this study is to determine (1) if the use of subgroup analyses and multivariable risk indices has increased, (2) whether statistical methodology has improved over time, and (3) which study characteristics predict subgroup analysis.
methodsWe randomly selected randomized controlled trials (RCTs) from five high-impact general medical journals during three time periods. Data from these articles were abstracted in duplicate using standard forms and a standard protocol. Subgroup analysis was defined as reporting any subgroup effect. Appropriate methods for subgroup analysis included a formal test for heterogeneity or interaction across treatment-by-covariate groups. We used logistic regression to determine the variables significantly associated with any subgroup analysis or, among RCTs reporting subgroup analyses, using appropriate methodology.
resultsThe final sample of 416 articles reported 437 RCTs, of which 270 (62 %) reported subgroup analysis. Among these, 185 (69 %) used appropriate methods to conduct such analyses. Subgroup analysis was reported in 62, 55, and 67 % of the articles from 2007, 2010, and 2013, respectively. The percentage using appropriate methods decreased over the three time points from 77 % in 2007 to 63 % in 2013 (p < 0.05). Significant predictors of reporting subgroup analysis included industry funding (OR 1.94 (95 % CI 1.17, 3.21)), sample size (OR 1.98 per quintile (1.64, 2.40), and a significant primary outcome (OR 0.55 (0.33, 0.92)). The use of appropriate methods to conduct subgroup analysis decreased by year (OR 0.88 (0.76, 1.00)) and was less common with industry funding (OR 0.35 (0.18, 0.70)). Only 33 (18 %) of the RCTs examined subgroup effects using a multivariable risk index.
conclusionsWhile we found no significant increase in the reporting of subgroup analysis over time, our results show a significant decrease in the reporting of subgroup analyses using appropriate methods during recent years. Industry-sponsored trials may more commonly report subgroup analyses, but without utilizing appropriate methods. Suboptimal reporting of subgroup effects may impact optimal physician-patient decision-making.
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