荟萃分析

Meta-Analysis.

作者信息

Hernandez Adrian V, Marti Katherine M, Roman Yuani M

机构信息

Health Outcomes, Policy, and Evidence Synthesis Group, University of Connecticut School of Pharmacy, Storrs, CT; Unit of Systematic Reviews and Meta-analyses, Vicerrectorado de Investigacion, Universidad San Ignacio de Loyola, Lima, Peru.

Health Outcomes, Policy, and Evidence Synthesis Group, University of Connecticut School of Pharmacy, Storrs, CT.

出版信息

Chest. 2020 Jul;158(1S):S97-S102. doi: 10.1016/j.chest.2020.03.003.

DOI:10.1016/j.chest.2020.03.003

PMID:32658658

Abstract

When a review is performed following predefined steps (ie, systematically) and its results are quantitatively analyzed, it is called meta-analysis. Publication of meta-analyses has increased exponentially in pubmed.gov; using the key word "meta-analysis," 1,473 titles were yielded in 2007 and 176,704 on January 2020. Well-designed and reported meta-analyses provide valuable information for clinicians, researchers, and policymakers. The aim of this study was to provide CHEST peer reviewers, as well as authors and researchers in training, with tools that can help to improve the quality and timeliness of journal reviews, as well as the quality of the meta-analyses submitted. This article also is intended to be a practical guide to inform authors about the key features of meta-analyses to be considered when producing their review.

摘要

当按照预定义步骤（即系统地）进行综述并对其结果进行定量分析时，这被称为荟萃分析。在pubmed.gov上，荟萃分析的发表数量呈指数级增长；使用关键词“荟萃分析”，2007年产生了1473个标题，2020年1月产生了176704个标题。设计良好且报告规范的荟萃分析为临床医生、研究人员和政策制定者提供了有价值的信息。本研究的目的是为CHEST的同行评审人员以及正在接受培训的作者和研究人员提供工具，以帮助提高期刊评审的质量和及时性，以及所提交荟萃分析的质量。本文还旨在成为一份实用指南，告知作者在撰写综述时应考虑的荟萃分析的关键特征。