TY - JOUR
T1 - Cohort profile
T2 - The Chronic Kidney Disease Prognosis Consortium
AU - Matsushita, Kunihiro
AU - Ballew, Shoshana H.
AU - Astor, Brad C.
AU - de Jong, Paul E.
AU - Gansevoort, Ron T.
AU - Hemmelgarn, Brenda R.
AU - Levey, Andrew S.
AU - Levin, Adeera
AU - Wen, Chi Pang
AU - Woodward, Mark
AU - Coresh, Josef
PY - 2013/12/1
Y1 - 2013/12/1
N2 - 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. Published by Oxford University Press on behalf of the International Epidemiological Association
AB - 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. Published by Oxford University Press on behalf of the International Epidemiological Association
UR - http://www.scopus.com/inward/record.url?scp=84892467829&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=84892467829&partnerID=8YFLogxK
U2 - 10.1093/ije/dys173
DO - 10.1093/ije/dys173
M3 - Article
C2 - 23243116
AN - SCOPUS:84892467829
VL - 42
SP - 1660
EP - 1668
JO - International Journal of Epidemiology
JF - International Journal of Epidemiology
SN - 0300-5771
IS - 6
M1 - dys173
ER -