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在进行系统综述时,到底要不要调整?这完全取决于背景。

To adjust or not to adjust in living systematic reviews? It's all about the context.

机构信息

Institute of Medical Biometry and Statistics, Faculty of Medicine and Medical Center-University of Freiburg, Freiburg, Germany.

Institute of Medical Biometry and Statistics, Faculty of Medicine and Medical Center-University of Freiburg, Freiburg, Germany.

出版信息

Z Evid Fortbild Qual Gesundhwes. 2024 Jun;187:95-99. doi: 10.1016/j.zefq.2024.04.001. Epub 2024 May 14.

Abstract

With each update of meta-analyses from living systematic reviews, treatment effects and their confidence intervals are recalculated. This often raises the question whether or not multiplicity is an issue and whether a method to adjust for multiplicity is needed. It seems that answering these questions is not that straightforward. We approach this matter by considering the context of systematic reviews and pointing out existing methods for handling multiplicity in meta-analysis. We conclude that multiplicity is not a relevant issue in living systematic reviews when they are planned with the aim to provide up-to-date evidence, without any direct control on the decision over future research. Multiplicity might be an issue, though, in living systematic reviews designed under a protocol involving a "stopping decision", which can be the case in living guideline development or in reimbursement decisions. Several appropriate methods exist for handling multiplicity in meta-analysis. Existing methods, however, are also associated with several technical and conceptual limitations, and could be improved in future methodological projects. To better decide whether an adjustment for multiplicity is necessary at all, authors and users of living systematic reviews should be aware of the context of the work and question whether there is a dependency between the effect estimates of the living systematic review and its stopping/updating or an influence on future research.

摘要

随着每个从实时系统综述更新的荟萃分析,治疗效果及其置信区间都需要重新计算。这经常会引发一个问题,即是否存在多重性问题,以及是否需要一种方法来调整多重性。似乎回答这些问题并不那么简单。我们通过考虑系统综述的背景,并指出荟萃分析中处理多重性的现有方法来解决这个问题。我们的结论是,当实时系统综述的目的是提供最新的证据,而对未来研究的决策没有任何直接控制时,多重性并不是一个相关问题。然而,在涉及“停止决策”的方案下设计的实时系统综述中,多重性可能是一个问题,这种情况可能发生在实时指南制定或报销决策中。有几种适当的方法可用于荟萃分析中的多重性处理。然而,现有的方法也存在一些技术和概念上的局限性,并且可以在未来的方法学项目中得到改进。为了更好地决定是否需要对多重性进行调整,实时系统综述的作者和使用者应该了解工作的背景,并质疑实时系统综述的效果估计与其停止/更新之间是否存在依赖性,或者对未来研究是否有影响。

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