预后模型研究的系统评价和荟萃分析的简要逐步指南。
A brief step-by-step guide on conducting a systematic review and meta-analysis of prognostic model studies.
机构信息
Faculty of Health Sciences, Department of Health Research Methods, Evidence, and Impact, McMaster University, Hamilton, Ontario, Canada.
Ted Rogers Center for Heart Research, Peter Munk Cardiac Center, Toronto, Ontario, Canada.
出版信息
J Clin Epidemiol. 2024 Jun;170:111360. doi: 10.1016/j.jclinepi.2024.111360. Epub 2024 Apr 9.
Prognostic models provide an avenue to predict the risk of individual patients and support shared-decision making. Many prognostic models are published annually, and systematic reviews provide an avenue to collate the existing evidence behind prognostic models to determine whether a model demonstrates adequate predictive performance and is ready for real-world use. This article provides a brief step-by-step guide on how to conduct a systematic review and meta-analysis of prognostic model studies and how these reviews differ from systematic reviews of therapy and diagnosis.
预后模型为预测个体患者风险和支持共同决策提供了途径。每年都会有许多预后模型发表，而系统评价则提供了一个整理预后模型背后现有证据的途径，以确定模型是否具有足够的预测性能，是否可以在实际中使用。本文简要介绍了如何进行预后模型研究的系统评价和荟萃分析，以及这些综述与治疗和诊断的系统评价有何不同。
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