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Predicting risk of chronic kidney disease

11.08.19 | JAMA Network

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What The Study Did: Data from about 5 million people (with and without diabetes) in 28 countries were used to develop equations to help identify people at increased five-year risk of chronic kidney disease, defined as reduced estimated glomerular filtration rate (eGFR).

To access the embargoed study: Visit our For The Media website at this link https://media.jamanetwork.com/

Authors: Josef Coresh, M.D., of the Johns Hopkins Bloomberg School of Public Health in Baltimore, is the corresponding author.

(doi:10.1001/jama.2019.17379)

Editor's Note: The article includes conflict of interest disclosures. Please see the article for additional information, including other authors, author contributions and affiliations, financial disclosures, funding and support, etc.

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How to Cite This Article

APA:
JAMA Network. (2019, November 8). Predicting risk of chronic kidney disease. Brightsurf News. https://www.brightsurf.com/news/LQ4QK0N8/predicting-risk-of-chronic-kidney-disease.html
MLA:
"Predicting risk of chronic kidney disease." Brightsurf News, Nov. 8 2019, https://www.brightsurf.com/news/LQ4QK0N8/predicting-risk-of-chronic-kidney-disease.html.