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Critical Appraisal And Data Extraction For Systematic Reviews Of Prediction Modelling Studies: The Charms Checklist
Author: Karel G. M. Moons , Joris A. H. De Groot , Walter Bouwmeester, Yvonne Vergouwe, Susan Mallett, Douglas G. Altman, Johannes B. Reitsma, Gary S. Collins
Publisher: Derivative Works
12 pages
One time payment: €0.00
Required subscription: Free
Type of publication: Article
ISBN/ISSN: 1549-1676
DOI: 10.1371/1001744
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Prediction models, both diagnostic and prognostic, are becoming increasingly abundant in the medical literature [1–3]. Diagnostic models are aimed at calculating the probability that an individual has a certain disorder, such as deep vein thrombosis [4,5], ankle fractures [6], or conjunctivitis [7]. Prognostic prediction models concern the prediction of the probability or risk of the future occurrence of a particular outcome or event in individuals at risk of such an event. Prognostic models may involve models for individuals with a particular health condition, such as prediction of recurrence or death after diagnosis of breast cancer [8] or mortality after cardiac surgery [9], but also includes models for predicting the occurrence of future outcomes in apparently healthy individuals such as the risk of developing a coronary event [10] or type 2 diabetes mellitus.

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