%0 Journal Article
%A Matsushita, Kunihiro
%A Jassal, Simerjot K
%A Sang, Yingying
%A Ballew, Shoshana H
%A Grams, Morgan E
%A Surapaneni, Aditya
%A Arnlov, Johan
%A Bansal, Nisha
%A Bozic, Milica
%A Brenner, Hermann
%A Brunskill, Nigel J
%A Chang, Alex R
%A Chinnadurai, Rajkumar
%A Cirillo, Massimo
%A Correa, Adolfo
%A Ebert, Natalie
%A Eckardt, Kai-Uwe
%A Gansevoort, Ron T
%A Gutierrez, Orlando
%A Hadaegh, Farzad
%A He, Jiang
%A Hwang, Shih-Jen
%A Jafar, Tazeen H
%A Kayama, Takamasa
%A Kovesdy, Csaba P
%A Landman, Gijs W
%A Levey, Andrew S
%A Lloyd-Jones, Donald M
%A Major, Rupert W.
%A Miura, Katsuyuki
%A Muntner, Paul
%A Nadkarni, Girish N
%A Naimark, David MJ
%A Nowak, Christoph
%A Ohkubo, Takayoshi
%A Pena, Michelle J
%A Polkinghorne, Kevan R
%A Sabanayagam, Charumathi
%A Sairenchi, Toshimi
%A Schneider, Markus P
%A Shalev, Varda
%A Shlipak, Michael
%A Solbu, Marit D
%A Stempniewicz, Nikita
%A Tollitt, James
%A Valdivielso, José M
%A van der Leeuw, Joep
%A Wang, Angela Yee-Moon
%A Wen, Chi-Pang
%A Woodward, Mark
%A Yamagishi, Kazumasa
%A Yatsuya, Hiroshi
%A Zhang, Luxia
%A Schaeffner, Elke
%A Coresh, Josef
%T Incorporating kidney disease measures into cardiovascular risk prediction: Development and validation in 9 million adults from 72 datasets
%J EClinicalMedicine
%V 27
%@ 2589-5370
%C Amsterdam
%I Elsevier
%M DKFZ-2020-02369
%P 100552
%D 2020
%F PUB:(DE-HGF)16
%9 Journal Article
%R 10.1016/j.eclinm.2020.100552
%U https://inrepo02.dkfz.de/record/164286