A predictive model for progression of chronic kidney disease to kidney failure.

@article{Tangri2011APM,
  title={A predictive model for progression of chronic kidney disease to kidney failure.},
  author={Navdeep Tangri and Lesley Ann Stevens and John Griffith and Hocine Tighiouart and Ognjenka Djurdjev and David Malcolm Naimark and Adeera Levin and Andrew S. Levey},
  journal={JAMA},
  year={2011},
  volume={305 15},
  pages={
          1553-9
        }
}
CONTEXT Chronic kidney disease (CKD) is common. Kidney disease severity can be classified by estimated glomerular filtration rate (GFR) and albuminuria, but more accurate information regarding risk for progression to kidney failure is required for clinical decisions about testing, treatment, and referral. OBJECTIVE To develop and validate predictive models for progression of CKD. DESIGN, SETTING, AND PARTICIPANTS Development and validation of prediction models using demographic, clinical… CONTINUE READING
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