Evidence map›Paper›PMID 21338847›Full record

ArticleAmerican journal of kidney diseases : the official journal of the National Kidney Foundation2011

Comparison of the CKD Epidemiology Collaboration (CKD-EPI) and Modification of Diet in Renal Disease (MDRD) study equations: prevalence of and risk factors for diabetes mellitus in CKD in the Kidney Early Evaluation Program (KEEP).

Samy I McFarlane, Peter A McCullough, James R Sowers, Kyaw Soe, Shu-Cheng Chen, Suying Li, Joseph A Vassalotti, Lesley A Stevens, Moro O Salifu, Manjula Kurella Tamura and 6 more

Abstract readComparative Study
In one paragraph

Article in American journal of kidney diseases : the official journal of the National Kidney Foundation, 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

12 citing papers in PubMed.

  1. Article
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  5. Review
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  11. Estimated GFR and incident cardiovascular disease events in American Indians: the Strong Heart Study.American journal of kidney diseases : the official journal of the National Kidney Foundation · 2012
    Article
  12. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

16 authors.

Samy I McFarlaneDivision of Endocrinology, SUNY-Downstate and Kings County Hospital Centers, Brooklyn, NY 11203, USA. smcfarlane@downstate.edu
Peter A McCullough
James R Sowers
Kyaw Soe
Shu-Cheng Chen
Suying Li
Joseph A Vassalotti
Lesley A Stevens
Moro O Salifu
Manjula Kurella Tamura
Andrew S Bomback
Keith C Norris
Allan J Collins
George L Bakris
Adam T Whaley-Connell
KEEP Steering Committee

Funding

TRAINING COREP20MD000182 · NIMHD · CHARLES R. DREW UNIVERSITY OF MED &SCI · PI CUNNINGHAM, WILLIAM EMERY, SHAPIRO, MARTIN F. · 2002 to 2016
$16.5M
VITAMIN D STIMULATES CARDIAC DIFFERENTIATIONU54RR026138 · NCRR · CHARLES R. DREW UNIVERSITY OF MED & SCI · PI NORRIS, KEITH C · 2009 to 2011
$14.0M
NCRR NIH HHS RR026138NCRR NIH HHS U54 RR026138NIMHD NIH HHS MD00182NIMHD NIH HHS P20 MD000182
6 · The paper itself

Abstract

backgroundDiabetes is a leading cause of chronic kidney disease (CKD). Whether reclassification of CKD stages based on glomerular filtration rate estimated using the CKD Epidemiology Collaboration (CKD-EPI) equation versus the Modification of Diet in Renal Disease (MDRD) Study equation modifies estimates of prevalent risk factors across stages is unknown.

methodsThis is a cross-sectional analysis of data from the Kidney Early Evaluation Program (KEEP), a community-based health screening program targeting individuals 18 years and older with diabetes, hypertension, or a family history of diabetes, hypertension, or kidney disease. Of 109,055 participants, 68.2% were women and 31.8% were African American. Mean age was 55.3 ± 0.05 years. Clinical, demographic, and laboratory data were collected from August 2000 through December 2009. Glomerular filtration rate was estimated using the CKD-EPI and MDRD Study equations.

resultsCKD was present in 25.6% and 23.5% of the study population using the MDRD Study and CKD-EPI equations, respectively. Diabetes was present in 42.4% and 43.8% of participants with CKD, respectively. Prevalent risk factors for diabetes included obesity (body mass index >30 kg/m(2)), 44.0%; hypertension, 80.5%; cardiovascular disease, 23.2%; family history of diabetes, 55.9%; and dyslipidemia, 43.0%. In a logistic regression model after adjusting for age and other risk factors, odds for diabetes increased significantly compared with no CKD with each CKD stage based on the CKD-EPI equation and similarly with stages based on the MDRD Study equation. Using a CKD-EPI-adjusted model, ORs were: stage 1, 2.08 (95% CI, 1.90-2.27); stage 2, 1.86 (95% CI, 1.72-2.02); stage 3, 1.23 (95% CI, 1.17-1.30); stage 4, 1.69 (95% CI, 1.42-2.03); and stage 5, 2.46 (95% CI, 1.46-4.14).

conclusionsUsing the CKD-EPI equation led to a lower prevalence of CKD but to similar diabetes prevalence rates associated with CKD across all stages compared with the MDRD Study equation. Diabetes and other CKD risk factor prevalence was increased compared with the non-CKD population.

Indexed as

Feeding BehaviorAdolescentAdultAgedCooperative BehaviorCross-Sectional StudiesDiabetes MellitusFemaleGlomerular Filtration RateHumansKidney Failure, ChronicMaleMiddle AgedPrevalenceProgram EvaluationRisk Factors

Identifiers

PMID21338847
PMCPMC3237700

What OpenQuestion holds

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Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.