van Smeden, M, Reitsma, JB, Riley, RD ORCID: https://orcid.org/0000-0001-8699-0735, Collins, GS and Moons, KG (2021) Clinical prediction models: diagnosis versus prognosis. Journal of Clinical Epidemiology, 132. 142 - 145.

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Diagnosis_vs_prognosis_ClinEpi2020r accepted.docx - Accepted Version
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Abstract

Clinical prediction models play an increasingly important role in contemporary clinical care, by informing healthcare professionals, patients and their relatives about outcome risks, with the aim to facilitate (shared) medical decision making and improve health outcomes. Diagnostic prediction models aim to calculate an individual's risk that a disease is already present, whilst prognostic prediction models aim to calculate the risk of particular heath states occurring in the future. This article serves as a primer for diagnostic and prognostic clinical prediction models, by discussing the basic terminology, some of the inherent challenges, and the need for validation of predictive performance and the evaluation of impact of these models in clinical care.

Item Type: Article
Additional Information: The final version of this accepted manuscript and all relevant information related to it, including copyrights, can be found online at; https://www.sciencedirect.com/science/article/pii/S0895435621000135?via%3Dihub
Uncontrolled Keywords: Diagnostic; Prognostic; Prediction models; Model performance; Model impact; Validation; Reporting guidelines
Subjects: R Medicine > R Medicine (General)
R Medicine > R Medicine (General) > R735 Medical education. Medical schools. Research
R Medicine > RA Public aspects of medicine
R Medicine > RA Public aspects of medicine > RA0421 Public health. Hygiene. Preventive Medicine
Divisions: Faculty of Medicine and Health Sciences > School of Primary, Community and Social Care
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Depositing User: Symplectic
Date Deposited: 26 May 2021 15:05
Last Modified: 11 Jun 2021 11:40
URI: https://eprints.keele.ac.uk/id/eprint/9631

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