Diagnostic and Prognostic Research (Jul 2019)

Evidence synthesis in prognosis research

  • Thomas P.A. Debray,
  • Valentijn M.T. de Jong,
  • Karel G.M. Moons,
  • Richard D. Riley

DOI
https://doi.org/10.1186/s41512-019-0059-4
Journal volume & issue
Vol. 3, no. 1
pp. 1 – 13

Abstract

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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.

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