Towards the best kidney failure prediction tool: a systematic review and selection aid

BACKGROUND: Prediction tools that identify chronic kidney disease (CKD) patients at a high risk of developing kidney failure have the potential for great clinical value, but limited uptake. The aim of the current study is to systematically review all available models predicting kidney failure in CKD...

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Detalles Bibliográficos
Autores principales: Ramspek, Chava L, de Jong, Ype, Dekker, Friedo W, van Diepen, Merel
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2019
Materias:
ORIGINAL ARTICLES
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7473808/
https://www.ncbi.nlm.nih.gov/pubmed/30830157
http://dx.doi.org/10.1093/ndt/gfz018

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7473808/
https://www.ncbi.nlm.nih.gov/pubmed/30830157
http://dx.doi.org/10.1093/ndt/gfz018

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