Development of Risk Prediction Equations for Incident Chronic Kidney Disease
Journal article   Open access   Peer reviewed

Development of Risk Prediction Equations for Incident Chronic Kidney Disease

Robert G. Nelson, Morgan E. Grams, Shoshana H. Ballew, Yingying Sang, Fereidoun Azizi, Steven J. Chadban, Layal Chaker, Stephan C. Dunning, Caroline Fox, Yoshihisa Hirakawa, …
JAMA : the journal of the American Medical Association, Vol.322(21), pp.2104-2114
12/03/2019
PMID: 31703124

Abstract

Online First Original Investigation
This study pools data from 34 cohorts participating in the CKD Prognosis Consortium developed a risk equation to predict risk of incident chronic kidney disease (CKD) defined as an estimated glomerular filtration rate of less than 60 mL/min/1.73 m2.
url
https://doi.org/10.1001/jama.2019.17379View
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