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      Predicting timing of clinical outcomes in patients with chronic kidney disease and severely decreased glomerular filtration rate

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      Predicting_adverse_events_in_G4_v9_R1.pdf (683.4Kb)
      Publication date
      06/2018
      Author
      Grams, Morgan E.
      Sang, Yingying
      Ballew, Shoshana H.
      Carrero, Juan Jesus
      Djurdjev, Ognjenka
      Heerspink, Hiddo J.L.
      Ho, Kevin
      Ito, Sadayoshi
      Marks, Angharad
      Naimark, David
      Nash, Danielle M.
      Navaneethan, Sankar D.
      Sarnak, Mark
      Stengel, Benedicte
      Visseren, Frank L.J.
      Wang, Angela Yee-Moon
      Köttgen, Anna
      Levey, Andrew S.
      Woodward, Mark
      Eckardt, Kai-Uwe
      Hemmelgarn, Brenda
      Coresh, Josef
      Metadata
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      Citation
      Grams , M E , Sang , Y , Ballew , S H , Carrero , J J , Djurdjev , O , Heerspink , H J L , Ho , K , Ito , S , Marks , A , Naimark , D , Nash , D M , Navaneethan , S D , Sarnak , M , Stengel , B , Visseren , F L J , Wang , A Y-M , Köttgen , A , Levey , A S , Woodward , M , Eckardt , K-U , Hemmelgarn , B & Coresh , J 2018 , ' Predicting timing of clinical outcomes in patients with chronic kidney disease and severely decreased glomerular filtration rate ' , Kidney International , vol. 93 , no. 6 , pp. 1442-1451 . https://doi.org/10.1016/j.kint.2018.01.009
      URI
      http://hdl.handle.net/2164/12094
      DOI
      https://doi.org/10.1016/j.kint.2018.01.009
      Rights
      © 2018. This manuscript version is made available under the CC-BY-NC-ND 4.0 license http://creativecommons.org/licenses/by-nc-nd/4.0/
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