Quantitative Sciences Unit and Department of Pediatrics, Stanford University, United States.
Department of Epidemiology, Harvard University, United States.
Environ Int. 2022 Feb;160:107032. doi: 10.1016/j.envint.2021.107032. Epub 2021 Dec 24.
In a recent concept paper (Verbeek et al., 2021), the Grading of Recommendations Assessment, Development, and Evaluation (GRADE) Working Group provides a preliminary proposal to improve its existing guidelines for assessing sensitivity to uncontrolled confounding in meta-analyses of nonrandomized studies. The new proposal centers on reporting the E-value for the meta-analytic mean and on comparing this E-value to a measured "reference confounder" to determine whether residual uncontrolled confounding in the meta-analyzed studies could or could not plausibly explain away the meta-analytic mean. Although we agree that E-value analogs for meta-analyses could be an informative addition to future GRADE guidelines, we suggest improvements to the Verbeek et al. (2021)'s specific proposal regarding: (1) their interpretation of comparisons between the E-value and the strengths of associations of a reference confounder; (2) their characterization of evidence strength in meta-analyses in terms of only the meta-analytic mean; and (3) the possibility of confounding bias that is heterogeneous across studies.
在最近的一份概念文件(Verbeek 等人,2021 年)中,分级评估、制定与评价(GRADE)工作组提出了一个初步建议,旨在改进其现有的评估非随机研究荟萃分析中未控制混杂敏感性的指南。该新建议集中在报告荟萃分析平均值的 E 值上,并将该 E 值与测量的“参考混杂因素”进行比较,以确定荟萃分析研究中是否存在未控制的混杂因素,或者是否可以合理地解释荟萃分析平均值。虽然我们同意 E 值类似物可作为未来 GRADE 指南的一个信息补充,但我们建议对 Verbeek 等人(2021 年)的具体建议进行改进,包括:(1)他们对 E 值与参考混杂因素关联强度之间比较的解释;(2)他们仅根据荟萃分析平均值来描述荟萃分析中证据强度的方式;以及(3)混杂偏差在研究间存在异质性的可能性。