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The DOI matches its Crossref record; 34 of the 34 references it cites were found in a registry or an index.

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

Open access
Riley, Richard D, Moons, Karel G M, Snell, Kym I E, Ensor, Joie, Hooft, Lotty, Altman, Douglas G, Hayden, Jill, Collins, Gary S, Debray, Thomas P A·2019·BMJ

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.

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Research works printed but not linked: 46

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Cited by

Metadata

Authors
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.
Venue
BMJ
Publisher
BMJ
Published
2019-01-30
Volume
364
Pages
k4597
ISSN
  • 1756-1833 (ISSN-L)
  • 0959-8138
OpenAlex
W2914356810
Cited by
742
References
34
FWCI
14.81
Type
journal article
Language
en
Open access
green
Licence
www.bmj.com/company/legal-information/terms-conditions/legal-information/tdm-licencepolicy (tdm)

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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.