Weighting bias in meta-analysis of binary outcomes
Weighting bias in meta-analysis of binary outcomes
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DOI：
10.1016/s0895-4356(00)00237-7
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发表时间：
2000-11-01
影响因子：
7.2
通讯作者：
Tang, JL
中科院分区：
文献类型：
--
作者：
Tang, JL
这篇文章表明，加权根据方差的方法可能会引入偏见的二元结果的荟萃分析。权重有利于具有一定频率的结果事件的研究，并且给予相同规模的研究的权重可能仅仅因为频率的变化而不同数十倍至数千倍。它还对不同的效果措施适用不同的标准。因此，当使用不同的效果衡量标准时，加权可能会扭曲综合结果，甚至导致相互矛盾的结论。一般而言，当联合试验间的效应异质性、试验在风险高度变化的人群中进行、相对风险用作效应指标、待联合的效应较小、任何试验福尔斯超出20%至80%的风险范围和/或试验数量较少时，偏倚更可能出现。最后给出了检测和控制偏差的建议。(C)2000 Elsevier Science Inc. All rights reserved.
This article demonstrates that the weighting-according-to-the-variance method may introduce biases in meta-analyses of binary outcomes. The weighting favors studies that have certain frequencies of outcome events and weights given to studies of the same size may differ tens to thousands of times merely because of variations in the frequency. It also applies different standards to different measures of effect. Thus, the weighting may distort the combined result or even lead to contradictory conclusions when different measures of effect are used. Generally, the bias is more likely to arise when the effect is heterogeneous across the combined trials, the trials are conducted in populations of highly varied risks, the relative risk is used as the effect measure, the effect to be combined is small, any of the trials falls beyond the risk range of 20% and 80%, and/or the number of trials is small. Suggestions for detection and control of the bias are also given. (C) 2000 Elsevier Science Inc. All rights reserved.