Predicting Risk of Kidney Disease
Author:
Affiliation:
1. Kidney Health Research Collaborative, University of California, San Francisco and San Francisco VA Health Care System, San Francisco
Publisher
American Medical Association (AMA)
Subject
General Medicine
Link
https://jamanetwork.com/journals/jama/articlepdf/2755298/jama_tummalapalli_2019_ed_190098.pdf
Reference19 articles.
1. Analysis of the Global Burden of Disease study highlights the global, regional, and national trends of chronic kidney disease epidemiology from 1990 to 2016.;Xie;Kidney Int,2018
2. Estimated glomerular filtration rate and albuminuria for prediction of cardiovascular outcomes: a collaborative meta-analysis of individual participant data.;Matsushita;Lancet Diabetes Endocrinol,2015
3. Lifetime incidence of CKD stages 3-5 in the United States.;Grams;Am J Kidney Dis,2013
4. Multivariate analysis of hypertension in general US adults based on the 2017 ACC/AHA guideline: data from the national health and nutrition examination survey 1999 to 2016.;Wang;Blood Press,2019
5. Development of risk prediction equations for incident chronic kidney disease;Nelson;JAMA
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