University of Aberdeen logo

AURA - Aberdeen University Research Archive

 

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

dc.contributor.authorGrams, Morgan E.
dc.contributor.authorSang, Yingying
dc.contributor.authorBallew, Shoshana H.
dc.contributor.authorCarrero, Juan Jesus
dc.contributor.authorDjurdjev, Ognjenka
dc.contributor.authorHeerspink, Hiddo J.L.
dc.contributor.authorHo, Kevin
dc.contributor.authorIto, Sadayoshi
dc.contributor.authorMarks, Angharad
dc.contributor.authorNaimark, David
dc.contributor.authorNash, Danielle M.
dc.contributor.authorNavaneethan, Sankar D.
dc.contributor.authorSarnak, Mark
dc.contributor.authorStengel, Benedicte
dc.contributor.authorVisseren, Frank L.J.
dc.contributor.authorWang, Angela Yee-Moon
dc.contributor.authorKöttgen, Anna
dc.contributor.authorLevey, Andrew S.
dc.contributor.authorWoodward, Mark
dc.contributor.authorEckardt, Kai-Uwe
dc.contributor.authorHemmelgarn, Brenda
dc.contributor.authorCoresh, Josef
dc.contributor.institutionUniversity of Aberdeen.Other Applied Health Sciencesen
dc.contributor.institutionUniversity of Aberdeen.Chronic Disease Research Groupen
dc.date.accessioned2019-03-29T00:03:24Z
dc.date.available2019-03-29T00:03:24Z
dc.date.embargoedUntil2019-03-29
dc.date.issued2018-06
dc.descriptionThis project was funded by the Kidney Disease: Improving Global Outcomes Foundation. The CKD-PC Data Coordinating Center is funded in part by a program grant from the US National Kidney Foundation, the Kidney Disease: Improving Global Outcomes Foundation, and the National Institute of Diabetes and Digestive and Kidney Diseases (R01DK100446-01). A variety of sources have supported enrollment and data collection, including laboratory measurements and follow-up in the collaborating cohorts of the CKD-PC. These funding sources include government agencies such as national institutes of health and medical research councils, as well as foundations and industry sponsors listed in Appendix S3. The funders had no role in the design and conduct of the study; collection, management, analysis, and interpretation of the data; preparation, review, or approval of the manuscript; and decision to submit the manuscript for publication. Some of the data reported here have been supplied by the United States Renal Data System. The interpretation and reporting of these data are the responsibility of the authors and in no way should be seen as an official policy or interpretation of the US government.en
dc.description.statusPeer revieweden
dc.format.extent10
dc.format.extent699836
dc.identifier118507074
dc.identifier894fc668-6e14-4bd0-a176-3311f536fb6b
dc.identifier85044330182
dc.identifier29605094
dc.identifier.citationGrams, 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.2018.01.009en
dc.identifier.doi10.1016/j.kint.2018.01.009
dc.identifier.iss6en
dc.identifier.issn0085-2538
dc.identifier.otherORCID: /0000-0003-1910-462X/work/44190166
dc.identifier.urihttp://hdl.handle.net/2164/12094
dc.identifier.urlhttp://www.scopus.com/inward/record.url?scp=85044330182&partnerID=8YFLogxKen
dc.identifier.vol93en
dc.language.isoeng
dc.relation.ispartofKidney Internationalen
dc.subjectSDG 3 - Good Health and Well-beingen
dc.subjectalbuminuriaen
dc.subjectcardiovascular diseaseen
dc.subjectchronic kidney diseaseen
dc.subjectR Medicine (General)en
dc.subjectNephrologyen
dc.subject.lccR1en
dc.titlePredicting timing of clinical outcomes in patients with chronic kidney disease and severely decreased glomerular filtration rateen
dc.typeJournal articleen

Files

Original bundle

Now showing 1 - 1 of 1
Thumbnail Image
Name:
Predicting_adverse_events_in_G4_v9_R1.pdf
Size:
683.43 KB
Format:
Adobe Portable Document Format

License bundle

Now showing 1 - 1 of 1
No Thumbnail Available
Name:
license.txt
Size:
8.31 KB
Format:
Plain Text
Description: