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Cohort profile: the chronic kidney disease prognosis consortium.

TitleCohort profile: the chronic kidney disease prognosis consortium.
Publication TypeJournal Article
Year of Publication2013
AuthorsMatsushita K, Ballew SH, Astor BC, de Jong PE, Gansevoort RT, Hemmelgarn BR, Levey AS, Levin A, Wen C-P, Woodward M, Coresh J
Corporate AuthorsChronic Kidney Disease Prognosis Consortium
JournalInt J Epidemiol
Date Published2013 Dec
KeywordsAlbuminuria, Cohort Studies, Disease Progression, Glomerular Filtration Rate, Humans, Kidney Failure, Chronic, Prognosis, Renal Insufficiency, Chronic

The Chronic Kidney Disease Prognosis Consortium (CKD-PC) was established in 2009 to provide comprehensive evidence about the prognostic impact of two key kidney measures that are used to define and stage CKD, estimated glomerular filtration rate (eGFR) and albuminuria, on mortality and kidney outcomes. CKD-PC currently consists of 46 cohorts with data on these kidney measures and outcomes from >2 million participants spanning across 40 countries/regions all over the world. CKD-PC published four meta-analysis articles in 2010-11, providing key evidence for an international consensus on the definition and staging of CKD and an update for CKD clinical practice guidelines. The consortium continues to work on more detailed analysis (subgroups, different eGFR equations, other exposures and outcomes, and risk prediction). CKD-PC preferably collects individual participant data but also applies a novel distributed analysis model, in which each cohort runs statistical analysis locally and shares only analysed outputs for meta-analyses. This distributed model allows inclusion of cohorts which cannot share individual participant level data. According to agreement with cohorts, CKD-PC will not share data with third parties, but is open to including further eligible cohorts. Each cohort can opt in/out for each topic. CKD-PC has established a productive and effective collaboration, allowing flexible participation and complex meta-analyses for studying CKD.

Alternate JournalInt J Epidemiol
PubMed ID23243116
Grant ListCZH/4/656 / / Chief Scientist Office / United Kingdom