Sex based subgroup differences in randomized controlled trials: empirical evidence from Cochrane meta-analyses

随机对照试验中基于性别的亚组差异:来自 Cochrane 荟萃分析的经验证据

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Abstract

OBJECTIVE:  To evaluate the frequency, validity, and relevance of statistically significant (P<0.05) sex-treatment interactions in randomized controlled trials in Cochrane meta-analyses. DESIGN:  Meta-epidemiological study. DATA SOURCES: Cochrane Database of Systematic Reviews (CDSR) and PubMed. ELIGIBILITY CRITERIA FOR STUDY SELECTION:  Reviews published in the CDSR with sex-treatment subgroup analyses in the forest plots, using data from randomized controlled trials. DATA EXTRACTION:  Information on the study design and sex subgroup data were extracted from reviews and forest plots that met inclusion criteria. For each statistically significant sex-treatment interaction, the potential for biological plausibility and clinical significance was considered. RESULTS:  Among the 41 reviews with relevant data, there were 109 separate treatment-outcome analyses ("topics"). Among the 109 topics, eight (7%) had a statistically significant sex-treatment interaction. The 109 topics included 311 randomized controlled trials (162 with both sexes, 46 with males only, 103 with females only). Of the 162 individual randomized controlled trials that included both sexes, 15 (9%) had a statistically significant sex-treatment interaction. Of four topics where the first published randomized controlled trial had a statistically significant sex-treatment interaction, no meta-analyses that included other randomized controlled trials retained the statistical significance and no meta-analyses showed statistical significance when data from the first published randomized controlled trial were excluded. Of the eight statistically significant sex-treatment interactions from the overall analyses, only three were discussed by the CDSR reviewers for a potential impact on different clinical management for males compared with females. None of these topics had a sex-treatment interaction that influenced treatment recommendations in recent guidelines. UpToDate, an online physician-authored clinical decision support resource, suggested differential management of men and women for one of these sex-treatment interactions. CONCLUSION:  Statistically significant sex-treatment interactions are only slightly more frequent than what would be expected by chance and there is little evidence of subsequent corroboration or clinical relevance of sex-treatment interactions.

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