Development of Risk Prediction Equations for Incident Chronic Kidney Disease

IMPORTANCE: Early identification of individuals at elevated risk of developing chronic kidney disease (CKD) could improve clinical care through enhanced surveillance and better management of underlying health conditions. OBJECTIVE: To develop assessment tools to identify individuals at increased ris...

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Bibliografiska uppgifter
I publikationen:JAMA
Huvudupphovsmän: Nelson, Robert G., Grams, Morgan E., Ballew, Shoshana H., Sang, Yingying, Azizi, Fereidoun, Chadban, Steven J., Chaker, Layal, Dunning, Stephan C., Fox, Caroline, Hirakawa, Yoshihisa, Iseki, Kunitoshi, Ix, Joachim, Jafar, Tazeen H., Köttgen, Anna, Naimark, David M. J., Ohkubo, Takayoshi, Prescott, Gordon J., Rebholz, Casey M., Sabanayagam, Charumathi, Sairenchi, Toshimi, Schöttker, Ben, Shibagaki, Yugo, Tonelli, Marcello, Zhang, Luxia, Gansevoort, Ron T., Matsushita, Kunihiro, Woodward, Mark, Coresh, Josef, Shalev, Varda
Materialtyp: Artigo
Språk:Inglês
Publicerad: American Medical Association 2019
Ämnen:
Original Investigation
Länkar:https://ncbi.nlm.nih.gov/pmc/articles/PMC6865298/
https://ncbi.nlm.nih.gov/pubmed/31703124
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1001/jama.2019.17379
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