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

Simple item page
dc.contributor.authorEchouffo-Tcheugui, Justin Ben_ZA
dc.contributor.authorKengne, Andre Pen_ZA
dc.date.accessioned2015-11-23T12:36:58Z
dc.date.available2015-11-23T12:36:58Z
dc.date.issued2012en_ZA
dc.description.abstractA 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.en_ZA
dc.identifier.apacitationEchouffo-Tcheugui, J. B., & Kengne, A. P. (2012). Risk models to predict chronic kidney disease and its progression: a systematic review. <i>PLOS Medicince</i>, http://hdl.handle.net/11427/15348en_ZA
dc.identifier.chicagocitationEchouffo-Tcheugui, Justin B, and Andre P Kengne "Risk models to predict chronic kidney disease and its progression: a systematic review." <i>PLOS Medicince</i> (2012) http://hdl.handle.net/11427/15348en_ZA
dc.identifier.citationEchouffo-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.1001344en_ZA
dc.identifier.ris TY - Journal Article AU - Echouffo-Tcheugui, Justin B AU - Kengne, Andre P AB - 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. DA - 2012 DB - OpenUCT DO - 10.1371/journal.pmed.1001344 DP - University of Cape Town J1 - PLOS Medicince LK - https://open.uct.ac.za PB - University of Cape Town PY - 2012 T1 - Risk models to predict chronic kidney disease and its progression: a systematic review TI - Risk models to predict chronic kidney disease and its progression: a systematic review UR - http://hdl.handle.net/11427/15348 ER - en_ZA
dc.identifier.urihttp://hdl.handle.net/11427/15348
dc.identifier.urihttp://dx.doi.org/10.1371/journal.pmed.1001344
dc.identifier.vancouvercitationEchouffo-Tcheugui JB, Kengne AP. Risk models to predict chronic kidney disease and its progression: a systematic review. PLOS Medicince. 2012; http://hdl.handle.net/11427/15348.en_ZA
dc.language.isoengen_ZA
dc.publisherPublic Library of Scienceen_ZA
dc.publisher.departmentDepartment of Medicineen_ZA
dc.publisher.facultyFaculty of Health Sciencesen_ZA
dc.publisher.institutionUniversity of Cape Town
dc.rightsThis is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.en_ZA
dc.rights.holder© 2012 Echouffo-Tcheugui, Kengneen_ZA
dc.rights.urihttp://creativecommons.org/licenses/by/4.0en_ZA
dc.sourcePLOS Medicinceen_ZA
dc.source.urihttp://journals.plos.org/plosmedicineen_ZA
dc.subject.otherChronic kidney diseaseen_ZA
dc.subject.otherForecastingen_ZA
dc.subject.otherKidneysen_ZA
dc.subject.otherDiabetes mellitusen_ZA
dc.subject.otherCreatinineen_ZA
dc.subject.otherMedical dialysisen_ZA
dc.subject.otherCanadaen_ZA
dc.subject.otherRenal transplantationen_ZA
dc.titleRisk models to predict chronic kidney disease and its progression: a systematic reviewen_ZA
dc.typeJournal Articleen_ZA
uct.type.filetypeText
uct.type.filetypeImage
uct.type.publicationResearchen_ZA
uct.type.resourceArticleen_ZA
Files
Original bundle
Now showing 1 - 1 of 1
Thumbnail Image
Name:
Echouffo_Tcheugui_Risk_Models_2012.pdf
Size:
284.25 KB
Format:
Adobe Portable Document Format
Description:
Download
Collections
Journal Articles