A guide to systematic review and meta-analysis of prognostic factor studies

Publication date

2019-01-31

Authors

Riley, Richard D.
Moons, Karel G MISNI 0000000390720943
Snell, Kym I.E.
Ensor, Joie
Hooft, L.ISNI 0000000393460235
Altman, Douglas G.
Hayden, Jill
Collins, Gary S.
Debray, ThomasORCID 0000-0002-1790-2719ISNI 0000000390283878

Editors

Advisors

Supervisors

Document Type

Article

Collections

Open Access logo

License

taverne

Abstract

Prognostic factors are associated with the risk of future health outcomes in individuals with a particular health condition or some clinical start point (eg, a particular diagnosis). Research to identify genuine prognostic factors is important because these factors can help improve risk stratification, treatment, and lifestyle decisions, and the design of randomised trials. Although thousands of prognostic factor studies are published each year, often they are of variable quality and the findings are inconsistent. Systematic reviews and meta-analyses are therefore needed that summarise the evidence about the prognostic value of particular factors. In this article, the key steps involved in this review process are described.

Keywords

Data Collection/trends, Humans, Life Style, Meta-Analysis as Topic, Prognosis, Publication Bias/statistics & numerical data, Research Design/trends, Risk Assessment/trends, Systematic Reviews as Topic, Taverne, General Medicine, Journal Article

Citation

Riley, R D, Moons, K G M, Snell, K I E, Ensor, J, Hooft, L, Altman, D G, Hayden, J, Collins, G S & Debray, T P A 2019, 'A guide to systematic review and meta-analysis of prognostic factor studies', BMJ (Online), vol. 364, k4597. https://doi.org/10.1136/bmj.k4597