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基因关联研究的Meta分析质量:一项带有建议的综述

The quality of meta-analyses of genetic association studies: a review with recommendations.

作者信息

Minelli Cosetta, Thompson John R, Abrams Keith R, Thakkinstian Ammarin, Attia John

机构信息

Institute of Genetic Medicine, EURAC Research, Viale Druso 1, 39100 Bolzano, Italy.

出版信息

Am J Epidemiol. 2009 Dec 1;170(11):1333-43. doi: 10.1093/aje/kwp350. Epub 2009 Nov 9.

Abstract

Although there has been a rapid rise in the publication of meta-analyses of genetic association studies, little is known about their methodological quality. The authors reviewed the quality of 120 randomly selected genetic meta-analyses published between 2005 and 2007. Data extracted included issues of general relevance and other issues specific to genetic epidemiology. Quality was markedly poorer in the 26% of the meta-analyses that accompanied a report on a primary study. Such meta-analyses were predominantly published in specialist journals, and their quality was positively associated with the impact factor of the journal. Among the meta-analyses that did not accompany a primary study, Human Genome Epidemiology reviews tended to score better than the others, although the comparison was limited by relatively small numbers. Comparison of the overall quality with that of genetic meta-analyses published before 2000 showed improvement in both conduct and reporting. However, the quality of the handling of specific genetic issues remains disappointingly low. For a few key general quality issues, the authors compared their findings with findings in other fields of medicine and found that general quality was similar. On the basis of this review, the authors provide practical recommendations for the conduct and reporting of genetic meta-analyses.

摘要

尽管基因关联研究的荟萃分析的发表数量迅速增加,但其方法学质量却鲜为人知。作者回顾了2005年至2007年间随机选取的120项基因荟萃分析的质量。提取的数据包括一般相关问题以及基因流行病学特有的其他问题。在伴随一项初步研究报告的荟萃分析中,26%的质量明显较差。此类荟萃分析主要发表在专业期刊上,其质量与期刊的影响因子呈正相关。在不伴随初步研究的荟萃分析中,《人类基因组流行病学》综述的得分往往高于其他综述,尽管由于数量相对较少,这种比较受到限制。将总体质量与2000年以前发表的基因荟萃分析进行比较,结果显示在实施和报告方面均有改进。然而,在处理特定基因问题方面的质量仍然低得令人失望。对于一些关键的一般质量问题,作者将他们的发现与医学其他领域的发现进行了比较,发现总体质量相似。基于这一综述,作者为基因荟萃分析的实施和报告提供了实用建议。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/dc35/2778766/5ec2201db3cc/amjepidkwp350f01_lw.jpg

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