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...

Descripció completa

Guardat en:
Dades bibliogràfiques
Publicat a:JAMA
Autors principals: 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
Format: Artigo
Idioma:Inglês
Publicat: American Medical Association 2019
Matèries:
Original Investigation
Accés en línia: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
Etiquetes: Afegir etiqueta
Sense etiquetes, Sigues el primer a etiquetar aquest registre!

Ítems similars