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荟萃分析的解读

Interpretation of meta-analyses.

作者信息

Clephas Pascal Richard David, Heesen Michael

机构信息

Dept. of Anaesthesia, Erasmus University Medical Center, Dr. Molewaterplein 40, 3015GD, Rotterdam, the Netherlands.

Dept. of Anaesthesia and Pain Medicine, Kantonsspital Baden, Im Ergel 1, 5404, Baden, Switzerland.

出版信息

Interv Pain Med. 2022 Aug 15;1(Suppl 2):100120. doi: 10.1016/j.inpm.2022.100120. eCollection 2022.

DOI:10.1016/j.inpm.2022.100120
PMID:39239131
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC11372922/
Abstract

Our article provides guidance on how to interpret a meta-analysis and introduces the reader to the basics of the underlying statistical analysis. The multiple steps of a meta-analysis including systematic literature search, risk of bias assessment, data extraction and data aggregation are addressed. The Grading of Recommendations Assessment, Development and Evaluation (GRADE) approach allows to score the quality of the evidence of the results revealed by a meta-analysis. Trial sequential analysis has been suggested in recent years as a method to assess the power of a meta-analysis and the risks of false positive or false negative conclusions. We also provide information on other more complex meta-analytical approaches including network meta-analysis for the comparison of several treatments as well as recent developments such as individual patient data meta-analysis and living meta-analysis.

摘要

我们的文章提供了关于如何解读荟萃分析的指导,并向读者介绍了基础统计分析的基础知识。文中讨论了荟萃分析的多个步骤,包括系统文献检索、偏倚风险评估、数据提取和数据汇总。推荐分级评估、制定与评价(GRADE)方法可用于对荟萃分析所揭示结果的证据质量进行评分。近年来,试验序贯分析被提议作为一种评估荟萃分析效能以及假阳性或假阴性结论风险的方法。我们还提供了关于其他更复杂的荟萃分析方法的信息,包括用于比较多种治疗方法的网状荟萃分析,以及诸如个体患者数据荟萃分析和动态荟萃分析等最新进展。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f858/11372922/1dde2e45b206/gr7.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f858/11372922/d0e27f49c8dc/gr1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f858/11372922/615b0b955579/gr2.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f858/11372922/f3ad74655456/gr3.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f858/11372922/83945787fc97/gr4.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f858/11372922/690ef868de89/gr5.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f858/11372922/e72d0fdb399e/gr6.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f858/11372922/1dde2e45b206/gr7.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f858/11372922/d0e27f49c8dc/gr1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f858/11372922/615b0b955579/gr2.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f858/11372922/f3ad74655456/gr3.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f858/11372922/83945787fc97/gr4.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f858/11372922/690ef868de89/gr5.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f858/11372922/e72d0fdb399e/gr6.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f858/11372922/1dde2e45b206/gr7.jpg

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