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Predicting risk of chronic kidney disease

19:00 EST 7 Nov 2019 | AAAS

(JAMA Network) 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).

Original Article: Predicting risk of chronic kidney disease

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