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流行病学中的荟萃分析。

Meta-analysis in epidemiology.

作者信息

Yach D

机构信息

Centre for Epidemiological Research in Southern Africa, Medical Research Council, Parowvallei, CP.

出版信息

S Afr Med J. 1990 Jul 21;78(2):94-7.

PMID:2371642
Abstract

Meta-analysis is the structured and systematic qualitative and quantitative integration of the results of several independent studies (i.e. the epidemiology of results). As in any epidemiological study, a meta-analysis needs to start with clearly stated aims and objectives. Attention needs to be paid to selection bias in selecting the study population (all publications on the topic). An initial qualitative assessment (conducted blinded to results) categorises projects on the basis of their methods, as unacceptable (dropped from later analysis) and acceptable or good. Further analysis could be conducted by stratifying or weighting independent studies according to preset quality criteria. The quantitative assessment involves deriving a pooled measure of outcome (usually the relative or attributable risk). Tests for heterogeneity are required before pooling. By pooling the results from many settings using different methods, the ability to generalise them in terms of their public health relevance is increased.

摘要

荟萃分析是对多项独立研究结果进行结构化、系统性的定性和定量整合(即结果的流行病学分析)。与任何流行病学研究一样,荟萃分析需要从明确阐述的目的和目标开始。在选择研究人群(该主题的所有出版物)时需要注意选择偏倚。初步定性评估(对结果进行盲法评估)根据项目方法将其分类为不可接受(从后续分析中剔除)以及可接受或良好。可以根据预设的质量标准对独立研究进行分层或加权,进而开展进一步分析。定量评估涉及得出合并的结果测量值(通常是相对风险或归因风险)。合并之前需要进行异质性检验。通过汇总来自多种不同方法背景下的结果,就其公共卫生相关性进行概括的能力得以提高。

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