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Review
. 2013;10(2):e1001381.
doi: 10.1371/journal.pmed.1001381. Epub 2013 Feb 5.

Prognosis Research Strategy (PROGRESS) 3: prognostic model research

Collaborators, Affiliations
Review

Prognosis Research Strategy (PROGRESS) 3: prognostic model research

Ewout W Steyerberg et al. PLoS Med. 2013.

Abstract

Prognostic models are abundant in the medical literature yet their use in practice seems limited. In this article, the third in the PROGRESS series, the authors review how such models are developed and validated, and then address how prognostic models are assessed for their impact on practice and patient outcomes, illustrating these ideas with examples.

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Conflict of interest statement

SS is a full time employee of the BMJ Group but is not involved in the decision making on manuscripts. The authors declare no other competing interests.

Figures

Figure 1
Figure 1. Kaplan-Meier survival curves for four risk groups derived from a prognostic model that provides a score to predict renal outcome in IgA nephropathy (reproduced from Goto et al [83]).
Figure 2
Figure 2. Web tool for prognosis of patients with head injury (CRASH trial) (reproduced from Perel et al with permission).
Figure 3
Figure 3. Distribution of published articles describing model development, validation, and impact assessment in four reviews (see Text S1).
Path element adapted from Chart 7.1 in the Cooksey report (2006) http://bit.ly/Ro27rL (made available for use and re-use through the Open Government License).

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References

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    1. Riley RD, Hayden JA, Steyerberg EW, Moons KGM, Abrams K, et al. (2013) Prognosis research strategy (PROGRESS) 2: Prognostic factor research. PLoS Med 10: e1001380 doi:10.1371/journal.pmed.1001380. - DOI - PMC - PubMed
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