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Evidence synthesis in prognosis research

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Abstract

Over the past few years, evidence synthesis has become essential to investigate and improve the generalizability of medical research findings. This strategy often involves a meta-analysis to formally summarize quantities of interest, such as relative treatment effect estimates. The use of meta-analysis methods is, however, less straightforward in prognosis research because substantial variation exists in research objectives, analysis methods and the level of reported evidence. We present a gentle overview of statistical methods that can be used to summarize data of prognostic factor and prognostic model studies. We discuss how aggregate data, individual participant data, or a combination thereof can be combined through meta-analysis methods. Recent examples are provided throughout to illustrate the various methods.

Acceptance Date Apr 16, 2019
Publication Date Jul 11, 2019
Publicly Available Date Mar 28, 2024
Journal Diagnostic and Prognostic Research
Print ISSN 2397-7523
Publisher BioMed Central
DOI https://doi.org/10.1186/s41512-019-0059-4
Keywords IPD, Meta-analysis, Prediction, Prognosis, Validation
Publisher URL https://doi.org/10.1186/s41512-019-0059-4

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