Open AccessPredicting Renal Risk in the General Population
Author(s) -
Maarten W. Taal
Publication year - 2011
Publication title -
clinical journal of the american society of nephrology
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 2.755
H-Index - 151
eISSN - 1555-905X
pISSN - 1555-9041
DOI - 10.2215/cjn.04200511
Subject(s) - medicine , kidney disease , framingham risk score , population , intensive care medicine , nephrology , risk assessment , renal function , risk factor , disease , environmental health , computer security , computer science
The widespread implementation of automated reporting of estimated GFR (eGFR) with each measurement of serum creatinine has resulted in the identification of large numbers of patients with previously undiagnosed chronic kidney disease (CKD). Epidemiologic studies have reported that CKD is relatively
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