TY  - JOUR
AU  - Nelson, Robert G
AU  - Grams, Morgan E
AU  - Ballew, Shoshana H
AU  - Sang, Yingying
AU  - Azizi, Fereidoun
AU  - Chadban, Steven J
AU  - Chaker, Layal
AU  - Dunning, Stephan C
AU  - Fox, Caroline
AU  - Hirakawa, Yoshihisa
AU  - Iseki, Kunitoshi
AU  - Ix, Joachim
AU  - Jafar, Tazeen H
AU  - Köttgen, Anna
AU  - Naimark, David M J
AU  - Ohkubo, Takayoshi
AU  - Prescott, Gordon J
AU  - Rebholz, Casey M
AU  - Sabanayagam, Charumathi
AU  - Sairenchi, Toshimi
AU  - Schöttker, Ben
AU  - Shibagaki, Yugo
AU  - Tonelli, Marcello
AU  - Zhang, Luxia
AU  - Gansevoort, Ron T
AU  - Matsushita, Kunihiro
AU  - Woodward, Mark
AU  - Coresh, Josef
AU  - Shalev, Varda
TI  - Development of Risk Prediction Equations for Incident Chronic Kidney Disease.
JO  - The journal of the American Medical Association
VL  - 322
IS  - 21
SN  - 0098-7484
CY  - Chicago, Ill.
PB  - American Medical Association
M1  - DKFZ-2019-02567
SP  - 2104-2114
PY  - 2019
N1  - JAMA. 2019;322(21):2104-2114
AB  - 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.To develop assessment tools to identify individuals at increased risk of CKD, defined by reduced estimated glomerular filtration rate (eGFR).Individual-level data analysis of 34 multinational cohorts from the CKD Prognosis Consortium including 5 222 711 individuals from 28 countries. Data were collected from April 1970 through January 2017. A 2-stage analysis was performed, with each study first analyzed individually and summarized overall using a weighted average. Because clinical variables were often differentially available by diabetes status, models were developed separately for participants with diabetes and without diabetes. Discrimination and calibration were also tested in 9 external cohorts (n = 2 253 540).Demographic and clinical factors.Incident eGFR of less than 60 mL/min/1.73 m2.Among 4 441 084 participants without diabetes (mean age, 54 years, 38
LB  - PUB:(DE-HGF)16
C6  - pmid:31703124
DO  - DOI:10.1001/jama.2019.17379
UR  - https://inrepo02.dkfz.de/record/147513
ER  -