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观察性流行病学研究的Meta分析:综述

Meta-analysis of observational epidemiological studies: a review.

作者信息

Jones D R

机构信息

Department of Community Health, University of Leicester, Leicester Royal Infirmary.

出版信息

J R Soc Med. 1992 Mar;85(3):165-8.

Abstract

Meta-analyses (integration of findings by quantitative analyses of results of individual studies) are already widely used in the psychological and educational sciences and in the pooling of clinical trial results. Examples of the application of such techniques to the results of observational epidemiological studies are now proliferating. In this paper meta-analysis of the results of observational epidemiological studies is reviewed. Uncritical adoption of techniques used in pooled analyses of clinical trial results may be inappropriate. Some alternative approaches, including meta-regression techniques, are discussed, and illustrated with reference to examples of meta-analyses of studies of breast cancer risk following oral contraceptive use and of patterns of post-bereavement mortality. Although substantial difficulties beset the use of meta-analysis in epidemiology, many of these problems are also implicit in the execution of traditional, narrative reviews. Foremost among these difficulties are those associated with publication bias and with making due allowance for the quality of the studies being combined. Unlike traditional narrative reviews, meta-analyses require explicit statement of the criteria for the review and hence highlight these difficulties. Nonetheless, careful and critical application of appropriate meta-analytical techniques facilitates quantitative exploration of inhomogeneities in, and (where appropriate) synthesis of study results.

摘要

荟萃分析(通过对个体研究结果进行定量分析来整合研究发现)已在心理学、教育科学以及临床试验结果汇总中广泛应用。此类技术应用于观察性流行病学研究结果的例子如今也越来越多。本文对观察性流行病学研究结果的荟萃分析进行综述。不加批判地采用临床试验结果汇总分析中使用的技术可能并不合适。文中讨论了一些替代方法,包括荟萃回归技术,并通过口服避孕药使用后乳腺癌风险研究以及丧亲后死亡率模式研究的荟萃分析实例进行说明。尽管在流行病学中使用荟萃分析存在诸多困难,但其中许多问题在传统叙述性综述的执行过程中也同样存在。这些困难中最主要的是与发表偏倚以及对所纳入研究的质量给予适当考虑相关的问题。与传统叙述性综述不同,荟萃分析要求明确阐述综述标准,从而凸显这些困难。尽管如此,谨慎且批判性地应用适当的荟萃分析技术有助于对研究结果的异质性进行定量探索,并在适当情况下对研究结果进行综合。

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