Evidence map›Paper›PMID 24832097›Full record

Observational studyClinical journal of the American Society of Nephrology : CJASN2014

Relation of serum lipids and lipoproteins with progression of CKD: The CRIC study.

Mahboob Rahman, Wei Yang, Sanjeev Akkina, Arnold Alper, Amanda Hyre Anderson, Lawrence J Appel, Jiang He, Dominic S Raj, Jeffrey Schelling, Louise Strauss and 3 more

Open access · bronzeAbstract readObservational Study
In one paragraph

Observational study in Clinical journal of the American Society of Nephrology : CJASN, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 106 papers.

0numbers the graph read from it
0cells of the map it votes in
106citing papers in PubMed
5.8field-weighted citation impact, top 3% of its field
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

106 citing papers in PubMed, 182 citations in OpenAlex.

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  15. Association Between Renal Dysfunction and Lipid Ratios in Rural Black South Africans.International journal of environmental research and public health · 2025
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  16. Review
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46 more citing papers are in PubMed but not listed here.

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

13 authors at 8 institutions in 1 country.

Mahboob RahmanDepartment of Medicine, Case Western Reserve University, University Hospitals Case Medical Center, Louis Stokes Cleveland Veterans Affairs Medical Center, Cleveland, Ohio; Mahboob.Rahman@uhhospitals.org.
Wei YangCenter for Clinical Epidemiology and Biostatistics and.
Sanjeev AkkinaDivision of Nephrology, University of Illinois, Chicago, Illinois;
Arnold AlperDepartment of Epidemiology, Tulane University, New Orleans, Louisiana;
Amanda Hyre AndersonCenter for Clinical Epidemiology and Biostatistics and.
Lawrence J AppelWelch Center for Prevention, Epidemiology and Clinical Research, Johns Hopkins University, Baltimore, Maryland;
Jiang HeDepartment of Epidemiology, Tulane University, New Orleans, Louisiana;
Dominic S RajDivision of Nephrology, George Washington University, Washington, DC;
Jeffrey SchellingCase Western Reserve University, MetroHealth Medical Center, Cleveland, Ohio; and.
Louise StraussUniversity Hospitals Case Medical Center, Cleveland, Ohio.
Valerie TealCenter for Clinical Epidemiology and Biostatistics and.
Daniel J RaderDivision of Translational Medicine and Human Genetics, University of Pennsylvania, Philadelphia, Pennsylvania;
CRIC Study Investigators
Center for Clinical Research (United States) · USTulane University · USUniversity Hospitals Case Medical Center · USGeorge Washington University · USJohns Hopkins University · USMetroHealth Medical Center · USTranslational Therapeutics (United States) · USUniversity of Illinois Chicago · US

Funding

UCSF CLINICAL AND TRANSLATIONAL SCIENCE INSTITUTEUL1RR024131 · NCRR · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI JOHNSTON, S. CLAIBORNE · 2006 to 2011
$111.2M
Engaging University of California Stakeholders for Biorespository ResearchUL1TR000004 · NCATS · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI GRANDIS, JENNIFER RUBIN · 2012 to 2015
$78.0M
Scientific and Data Coordinating Center(SDCC) for the P*U01DK060990 · NIDDK · UNIVERSITY OF PENNSYLVANIA · PI FELDMAN, HAROLD I · 2001 to 2017
$50.1M
Clinical and Translational Science Collaborative of ClevelandUL1TR000439 · NCATS · CASE WESTERN RESERVE UNIVERSITY · PI KONSTAN, MICHAEL W. · 2012 to 2016
$50.0M
Michigan Institute for Clinical and Health Research (MCHR)UL1TR000433 · NCATS · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI MASHOUR, GEORGE ALEXANDER · 2012 to 2016
$49.9M
Institutional Clinical and Translational Science AwardUL1TR000003 · NCATS · UNIVERSITY OF PENNSYLVANIA · PI FITZGERALD, GARRET A · 2012 to 2015
$38.9M
Zonulin Antibodies in Intestinal Permeabilitiy in IDDMM01RR016500 · NCRR · UNIVERSITY OF MARYLAND BALTIMORE · PI ONUKWUGHA, EBERECHUKWU · 2002 to 2009
$20.2M
Study of the Care and Outcomes of REnal InsufficiencyU01DK060902 · NIDDK · KAISER FOUNDATION RESEARCH INSTITUTE · PI GO, ALAN S · 2001 to 2025
$19.5M
Limited Competition for the Continuation of the Chronic Renal Insufficiency CohorU01DK061021 · NIDDK · CASE WESTERN RESERVE UNIVERSITY · PI RAHMAN, MAHBOOB · 2001 to 2025
$17.3M
Prospective Renal Insufficiency Cohort Evaluation:PRICEU01DK060984 · NIDDK · UNIVERSITY OF PENNSYLVANIA · PI COHEN, DEBBIE L · 2001 to 2025
$17.0M
Prospective Cohort Study of Chronic Renal InsufficiencyU01DK061028 · NIDDK · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI RAO, PANDURANGA S · 2001 to 2025
$16.9M
Limited Competition for the Continuation of the Chronic Renal Insufficiency Cohort (CRIC) Hopkins Clinical CenterU01DK061022 · NIDDK · JOHNS HOPKINS UNIVERSITY · PI APPEL, LAWRENCE JOHN · 2001 to 2025
$15.7M
NCATS NIH HHS UL1 TR000003NCATS NIH HHS UL1-TR000003NCATS NIH HHS UL1 TR000004NCATS NIH HHS UL1 TR000424NCATS NIH HHS UL1-TR000424NCATS NIH HHS UL1 TR000433NCATS NIH HHS UL1-TR000433NCATS NIH HHS UL1 TR000439NCATS NIH HHS UL1-TR000439NCRR NIH HHS M01 RR016500NCRR NIH HHS M01-RR16500NCRR NIH HHS UL1 RR024131NCRR NIH HHS UL1-RR024131NCRR NIH HHS UL1 RR029879NCRR NIH HHS UL1-RR029879NIDDK NIH HHS K01 DK092353NIDDK NIH HHS R01 DK072231NIDDK NIH HHS R01 DK139225NIDDK NIH HHS U01 DK060902NIDDK NIH HHS U01-DK060902NIDDK NIH HHS U01 DK060963NIDDK NIH HHS U01-DK060963NIDDK NIH HHS U01 DK060980NIDDK NIH HHS U01-DK060980NIDDK NIH HHS U01 DK060984NIDDK NIH HHS U01-DK060984NIDDK NIH HHS U01 DK060990NIDDK NIH HHS U01-DK060990NIDDK NIH HHS U01 DK061021NIDDK NIH HHS U01-DK061021NIDDK NIH HHS U01 DK061022NIDDK NIH HHS U01-DK061022NIDDK NIH HHS U01 DK061028NIDDK NIH HHS U01-DK061028NIGMS NIH HHS P30 GM103337NIGMS NIH HHS P30-GM103337
6 · The paper itself

Abstract

BACKGROUND AND

objectivesHyperlipidemia is common in patients with CKD. The objective of this study was to evaluate whether measures of plasma lipids and lipoproteins predict progression of kidney disease in patients with CKD. DESIGN, SETTING, PARTICIPANTS, & MEASUREMENTS: Prospective cohort study in adults (n=3939) with CKD aged 21-74 years recruited between 2003 and 2008 and followed for a median of 4.1 years. At baseline, total cholesterol, triglycerides, very-low-density lipoprotein cholesterol (VLDL-C), LDL cholesterol (LDL-C), HDL cholesterol (HDL-C), apoA-I , apoB, and lipoprotein(a) [Lp(a)] were measured. The outcomes were composite end point of ESRD or 50% decline in eGFR from baseline (rate of change of GFR).

resultsMean age of the study population was 58.2 years, and the mean GFR was 44.9 ml/min per 1.73 m(2); 48% of patients had diabetes. None of the lipid or lipoprotein measures was independently associated with risk of the composite end point or rate of change in GFR. However, there were significant (P=0.01) interactions by level of proteinuria. In participants with proteinuria<0.2 g/d, 1-SD higher LDL-C was associated with a 26% lower risk of the renal end point (hazard ratio [HR], 0.74; 95% confidence interval [95% CI], 0.59 to 0.92; P=0.01), and 1-SD higher total cholesterol was associated with a 23% lower risk of the renal end point (HR, 0.77; 95% CI, 0.62 to 0.96; P=0.02). In participants with proteinuria>0.2 g/d, neither LDL-C (HR, 0.98; 95% CI, 0.98 to 1.05) nor total cholesterol levels were associated with renal outcomes. Treatment with statins was reported in 55% of patients and was differential across lipid categories.

conclusionsIn this large cohort of patients with CKD, total cholesterol, triglycerides, VLDL-C, LDL-C, HDL-C, apoA-I, apoB, and Lp(a) were not independently associated with progression of kidney disease. There was an inverse relationship between LDL-C and total cholesterol levels and kidney disease outcomes in patients with low levels of proteinuria.

Indexed as

AdultAgedBiomarkersDisease ProgressionFemaleGlomerular Filtration RateHumansHydroxymethylglutaryl-CoA Reductase InhibitorsHyperlipidemiasKidneyKidney Failure, ChronicLipidsLipoproteinsMaleMiddle AgedProspective StudiesBiomarkersHydroxymethylglutaryl-CoA Reductase InhibitorsLipidsLipoproteinschronic kidney diseaselipidsprogression of chronic renal failure

Identifiers

PMID24832097
PMCPMC4078958
OpenAlexW2109605737

What OpenQuestion holds

Texttitle and abstract
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Registered trials

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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.