Cohort Profile: The Chronic Kidney Disease Prognosis Consortium

Published on Dec 1, 2013in International Journal of Epidemiology7.196
路 DOI :10.1093/IJE/DYS173
Kunihiro Matsushita68
Estimated H-index: 68
(Johns Hopkins University),
Shoshana H. Ballew38
Estimated H-index: 38
(Johns Hopkins University)
+ 8 AuthorsJosef Coresh173
Estimated H-index: 173
(Johns Hopkins University)
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.
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Summary Background Chronic kidney disease is characterised by low estimated glomerular filtration rate (eGFR) and high albuminuria, and is associated with adverse outcomes. Whether these risks are modified by diabetes is unknown. Methods We did a meta-analysis of studies selected according to Chronic Kidney Disease Prognosis Consortium criteria. Data transfer and analyses were done between March, 2011, and June, 2012. We used Cox proportional hazards models to estimate the hazard ratios (HR) of ...
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2) was reducedfrom8.7%to6.3%.InestimatedGFRof45to59mL/min/1.73m 2 bytheMDRD Study equation, 34.7% of participants were reclassified to estimated GFR of 60 to 89 mL/min/1.73m 2 bytheCKD-EPIequationandhadlowerincidencerates(per1000personyears) for the outcomes of interest (9.9 vs 34.5 for all-cause mortality, 2.7 vs 13.0 for cardiovascular mortality, and 0.5 vs 0.8 for ESRD) compared with those not reclassified. The corresponding adjusted hazard ratios were 0.80 (95% CI, 0.74-0.86) for all-cause m...
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