Are the Subgroup Analyses in Stroke Clinical Trials Credible? – Protocol for a Systematic Review
Abstract Background: Clinicians and decision-makers are mostly interested in how the overall effect in a randomized controlled trial impact patient differently due to differential treatment effects. Subgroup analyses of randomized trials examine if the overall treatment effect is consistent among the subgroup or to identify groups that modify the intervention effects. Well defined and performed subgroup analyses led to critical policy decisions; however, inappropriately performed subgroup analyses had resulted in incorrect decisions with negative consequences. This systematic review examines the reporting quality and the subgroup analyses’ credibility in stroke clinical trials. Methods and analysis: We will extract relevant studies from PubMed, Embase, Cochrane Central Register of Controlled Trials (CENTRAL), and Web of Science using three concepts in the Medical Subject Headings (MESH) heading. Two reviewers will independently screen the title, abstract, and full text of relevant studies. We will examine the risk of bias and the credibility of reported subgroup analyses using two validated instruments, i.e., Cochrane Risk-of-Bias tool for randomized trials version 2 (RoB 2) and the Instrument for assessing the Credibility of Effect Modification Analyses (ICEMAN), respectively. Random effects regression will be used to evaluate study characteristics associated with the credibility of subgroup analyses in the included studies.Expected outcomes: This research aims to review the quality of subgroup analyses’ results and reporting. The research’s results will also provide critical methodological contributions to the statistical literature of clinical trials. Ethics and dissemination: This systematic review does not require primary patient data and does not require ethical approval. The review’s results will be published in a peer-review and scientific conferences.Trial registration number: CRD42020223133