Risk models to predict chronic kidney disease and its progression: a systematic review

Journal Article

2012

Permanent link to this Item
http://hdl.handle.net/11427/15348
 http://dx.doi.org/10.1371/journal.pmed.1001344
Files
Echouffo_Tcheugui_Risk_Models_2012.pdf (284.25 KB)
Authors
Echouffo-Tcheugui, Justin B
Kengne, Andre P
Journal Title

PLOS Medicince

Link to Journal
http://journals.plos.org/plosmedicine
Journal ISSN
Volume Title
Publisher

Public Library of Science

Publisher

University of Cape Town

Department
Department of Medicine
Faculty
Faculty of Health Sciences
License

http://creativecommons.org/licenses/by/4.0

Series
Abstract
A systematic review of risk prediction models conducted by Justin Echouffo-Tcheugui and Andre Kengne examines the evidence base for prediction of chronic kidney disease risk and its progression, and suitability of such models for clinical use.
Description
Keywords
Chronic kidney disease
Forecasting
Kidneys
Diabetes mellitus
Creatinine
Medical dialysis
Canada
Renal transplantation

Reference:

Echouffo-Tcheugui, J. B., & Kengne, A. P. (2011). Risk models to predict chronic kidney disease and its progression: a systematic review. PLoS medicine, 9(11), e1001344. doi:10.1371/journal.pmed.1001344

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