Meta分析中二分类变量的效应指标选择

    The Selection of Summary Statistic Measures for Dichotomous Data in Meta-Analysis

    • 摘要: Meta分析中效应指标的选择非常重要,基于随机对照试验二分类数据的Meta分析中,比值比和相对危险度较为常用。本文简要介绍比值比和相对危险度的意义,探讨比值比和相对危险度在Meta分析中的特点、差异及适用性。Meta分析中效应指标相对危险度或比值比的选择,在数据计算、结果解释和证据利用等方面均具有重要意义,但相关的选择标准及报告规范尚待完善。相对危险度值对合并效应的估计较为保守。与相对危险度相比,比值比在一定情况下可引起Meta合并结果在定量(高估)甚至定性上的不一致。本研究推荐根据不同的研究类型和数据特征选择不同的效应指标,且应综合考虑其他因素。更深入的探讨有待于进一步研究。

       

      Abstract: The selection of summary statistics is very important for the data calculation and interpretation of its results in a meta-analysis. Odds ratio (OR) and relative risk (RR) are commonly used for dichotomous data in randomized controlled trials (RCTs) based meta-analysis. This paper introduces basic concepts and investigates the characteristics, difference and applicability of RR and OR in meta-analysis. The selection of RR and OR for a RCT based meta-analysis is very important, but the selection criteria and report specification still need to be improved. RR is more cautious in combined effect. Compared with RR, OR may cause quantitative (overestimated) and even qualitative differences for combined effect in a meta-analysis. In this paper, optimization selections of OR and RR according to different study characteristics and data situations were recommended, and other factors also should be taken into account. More in-depth discussions still need further studies.

       

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