Risk prediction models for patients with chronic kidney disease: a systematic review.

@article{Tangri2013RiskPM,
  title={Risk prediction models for patients with chronic kidney disease: a systematic review.},
  author={Navdeep Tangri and Georgios D Kitsios and Lesley Ann Inker and John Griffith and David Malcolm Naimark and Simon Walker and Claudio Rigatto and Katrin Uhlig and David M. Kent and Andrew S. Levey},
  journal={Annals of internal medicine},
  year={2013},
  volume={158 8},
  pages={596-603}
}
BACKGROUND Patients with chronic kidney disease (CKD) are at increased risk for kidney failure, cardiovascular events, and all-cause mortality. Accurate models are needed to predict the individual risk for these outcomes. PURPOSE To systematically review risk prediction models for kidney failure, cardiovascular events, and death in patients with CKD. DATA SOURCES MEDLINE search of English-language articles published from 1966 to November 2012. STUDY SELECTION Cohort studies that examined… CONTINUE READING
Recent Discussions
This paper has been referenced on Twitter 17 times over the past 90 days. VIEW TWEETS