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当进行个体参与者数据(IPD)荟萃分析时的实际考虑和挑战。

Practical Considerations and Challenges When Conducting an Individual Participant Data (IPD) Meta-Analysis.

机构信息

Department of Health Data Science, University of Liverpool, Liverpool, UK.

出版信息

Methods Mol Biol. 2022;2345:263-278. doi: 10.1007/978-1-0716-1566-9_16.

Abstract

This chapter provides a broad overview of the use of individual participant (sometimes referred to as patient) data (IPD ) within meta-analyses, the associated advantages of using IPD in meta-analysis compared to aggregate data, and when IPD should be used in meta-analysis.This chapter also outlines the steps of conducting an IPD meta-analysis, with practical guidance relating to requesting and obtaining IPD for meta-analysis. Challenges that can be associated with conducting an IPD meta-analysis are also discussed, including consideration of availability bias, when a subset of the relevant IPD is not available for meta-analysis.

摘要

本章提供了个体参与者(有时也称为患者)数据(IPD)在荟萃分析中的广泛概述,与使用汇总数据相比,使用 IPD 在荟萃分析中具有的相关优势,以及何时应在荟萃分析中使用 IPD。本章还概述了进行 IPD 荟萃分析的步骤,提供了与请求和获取 IPD 进行荟萃分析相关的实用指南。还讨论了进行 IPD 荟萃分析可能面临的挑战,包括考虑可用性偏差,即并非所有相关 IPD 都可用于荟萃分析的情况。

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