Work

Evidence synthesis in prognosis research

Year: 2019

Type: article

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.

Source: Diagnostic and Prognostic Research

DOI: 10.1186/s41512-019-0059-4

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

Institutions: Utrecht University, University Medical Center Utrecht, Keele University

Language: English

Topic: Meta-analysis and systematic reviews

Subfield: Statistics, Probability and Uncertainty

Field: Decision Sciences

Domain: Social Sciences

SDG: Good health and well-being

Open Access status: gold

Estimated APC paid: $2,170