Evidence map›Paper›PMID 30686529›Full record

ArticleAmerican journal of kidney diseases : the official journal of the National Kidney Foundation2019

Lipids, Apolipoproteins, and Risk of Atherosclerotic Cardiovascular Disease in Persons With CKD.

Archna Bajaj, Dawei Xie, Esteban Cedillo-Couvert, Jeanne Charleston, Jing Chen, Rajat Deo, Harold I Feldman, Alan S Go, Jiang He, Edward Horwitz and 6 more

Open access · greenAbstract readMulticenter Study
In one paragraph

Article in American journal of kidney diseases : the official journal of the National Kidney Foundation, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 42 papers.

0numbers the graph read from it
0cells of the map it votes in
42citing papers in PubMed
8.8field-weighted citation impact, top 2% 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

42 citing papers in PubMed, 74 citations in OpenAlex.

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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 at 9 institutions in 1 country.

Archna BajajDepartment of Medicine, Perelman School of Medicine at the University of Pennsylvania, Philadelphia, PA. Electronic address: bajaja@pennmedicine.upenn.edu.
Dawei XieDepartment of Biostatistics and Epidemiology and Informatics, Perelman School of Medicine at the University of Pennsylvania, Philadelphia, PA; Center for Clinical Epidemiology and Biostatistics, Perelman School of Medicine at the University of Pennsylvania, Philadelphia, PA.
Esteban Cedillo-CouvertDivision of Nephrology, Department of Medicine, University of Illinois College of Medicine at Chicago, Chicago, IL.
Jeanne CharlestonDepartment of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD.
Jing ChenDivision of Nephrology and Hypertension, Department of Medicine, Tulane University School of Medicine, New Orleans, LA.
Rajat DeoDepartment of Medicine, Perelman School of Medicine at the University of Pennsylvania, Philadelphia, PA.
Harold I FeldmanDepartment of Medicine, Perelman School of Medicine at the University of Pennsylvania, Philadelphia, PA; Department of Biostatistics and Epidemiology and Informatics, Perelman School of Medicine at the University of Pennsylvania, Philadelphia, PA; Center for Clinical Epidemiology and Biostatistics, Perelman School of Medicine at the University of Pennsylvania, Philadelphia, PA.
Alan S GoDivision of Research, Kaiser Permanente Northern California, Oakland, CA.
Jiang HeDepartment of Epidemiology, Tulane University School of Public Health and Tropical Medicine, New Orleans, LA.
Edward HorwitzDivision of Nephrology, MetroHealth Medical Center, Case Western Reserve University, Cleveland, OH.
Radhakrishna KallemDepartment of Medicine, Perelman School of Medicine at the University of Pennsylvania, Philadelphia, PA.
Mahboob RahmanDivision of Nephrology and Hypertension, Case Western Reserve University, University Hospitals Case Medical Center, Cleveland, OH.
Matthew R WeirDivision of Nephrology, Department of Medicine, University of Maryland School of Medicine, Baltimore, MD.
Amanda H AndersonDepartment of Biostatistics and Epidemiology and Informatics, Perelman School of Medicine at the University of Pennsylvania, Philadelphia, PA; Department of Epidemiology, Tulane University School of Public Health and Tropical Medicine, New Orleans, LA.
Daniel J RaderDepartment of Medicine, Perelman School of Medicine at the University of Pennsylvania, Philadelphia, PA; Department of Genetics, Perelman School of Medicine at the University of Pennsylvania, Philadelphia, PA; Department of Pediatrics, Perelman School of Medicine at the University of Pennsylvania, Philadelphia, PA; The Penn Cardiovascular Institute, Perelman School of Medicine at the University of Pennsylvania, Philadelphia, PA; Institute for Translational Medicine and Therapeutics, Perelman School of Medicine at the University of Pennsylvania, Philadelphia, PA.
CRIC Study Investigators
University of Pennsylvania · USTulane University · USCardiovascular Institute of the South · USIllinois College · USJohns Hopkins University · USKaiser Permanente · USMetroHealth Medical Center · USUniversity Hospitals Cleveland Medical Center · USUniversity of Maryland, Baltimore · US

Funding

UCSF CLINICAL AND TRANSLATIONAL SCIENCE INSTITUTEUL1RR024131 · NCRR · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI JOHNSTON, S. CLAIBORNE · 2006 to 2011
$111.2M
Tracking & Evaluation CoreU54GM104940 · NIGMS · LSU PENNINGTON BIOMEDICAL RESEARCH CTR · PI Peter Todd Katzmarzyk · 2012 to 2026
$69.1M
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
Clinical and Translational Science Collaborative of ClevelandUL1TR002548 · NCATS · CASE WESTERN RESERVE UNIVERSITY · PI MCCOMSEY, GRACE A · 2018 to 2022
$35.5M
Strengthening Stakeholder Engagement in Human Research Protections.UL1TR002003 · NCATS · UNIVERSITY OF ILLINOIS AT CHICAGO · PI KARNIK, NIRANJAN SUBHASH, MERMELSTEIN, ROBIN J. · 2016 to 2024
$33.7M
Tulane COBRE in Cardiometabolic Diseases Clinical Research CoreP20GM109036 · NIGMS · TULANE UNIVERSITY OF LOUISIANA · PI JING CHEN · 2016 to 2026
$25.3M
Continuation of the Coordinating Center for the Chronic Renal Insufficiency Cohort (CRIC) StudyU24DK060990 · NIDDK · UNIVERSITY OF PENNSYLVANIA · PI Amanda Hyre Anderson, Laura M Dember · 2018 to 2026
$21.5M
Zonulin Antibodies in Intestinal Permeabilitiy in IDDMM01RR016500 · NCRR · UNIVERSITY OF MARYLAND BALTIMORE · PI OSWALD, LYNN M · 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
NCATS NIH HHS UL1 TR000003NCATS NIH HHS UL1 TR000424NCATS NIH HHS UL1 TR000433NCATS NIH HHS UL1 TR000439NCATS NIH HHS UL1 TR002003NCATS NIH HHS UL1 TR002548NCRR NIH HHS M01 RR013987NCRR NIH HHS M01 RR016500NCRR NIH HHS UL1 RR024131NCRR NIH HHS UL1 RR029879NIDDK NIH HHS R01 DK072231NIDDK NIH HHS R01 DK139225NIDDK NIH HHS U01 DK060902NIDDK NIH HHS U01 DK060963NIDDK NIH HHS U01 DK060980NIDDK NIH HHS U01 DK060984NIDDK NIH HHS U01 DK060990NIDDK NIH HHS U01 DK061021NIDDK NIH HHS U01 DK061022NIDDK NIH HHS U01 DK061028NIDDK NIH HHS U24 DK060990NIGMS NIH HHS P20 GM109036NIGMS NIH HHS U54 GM104940
6 · The paper itself

Abstract

RATIONALE &

objectiveA large residual risk for atherosclerotic cardiovascular disease (ASCVD) remains in the setting of chronic kidney disease (CKD) despite treatment with statins. We sought to evaluate the associations of lipid and apolipoprotein levels with risk for ASCVD in individuals with CKD. STUDY

designProspective cohort study. SETTINGS &

participantsAdults aged 21 to 74 years with non-dialysis-dependent CKD at baseline enrolled in the Chronic Renal Insufficiency Cohort (CRIC) Study in 7 clinical study centers in the United States. PREDICTOR: Baseline total cholesterol, non-high-density lipoprotein cholesterol (non-HDL-C), very low-density lipoprotein cholesterol (VLDL-C), triglycerides, low-density lipoprotein cholesterol (LDL-C), apolipoprotein B (Apo-B), HDL-C, and apolipoprotein AI (Apo-AI) values stratified into tertiles. OUTCOME: A composite ASCVD event of myocardial infarction or ischemic stroke. ANALYTIC APPROACH: Multivariable Cox proportional hazards regression to estimate the risk for ASCVD for each tertile of lipoprotein predictor.

resultsAmong 3,811 CRIC participants (mean age, 57.7 years; 41.8% white), there were 451 ASCVD events during a median follow-up of 7.9 years. There was increased ASCVD risk among participants with VLDL-C levels in the highest tertile (HR, 1.28; 95% CI, 1.01-1.64), Apo-B levels in the middle tertile (HR, 1.30; 95% CI, 1.03-1.64), HDL-C levels in the middle and lowest tertiles (HRs of 1.40 [95% CI, 1.08-1.83] and 1.77 [95% CI, 1.35-2.33], respectively), and Apo-AI levels in the middle and lowest tertiles (HRs of 1.77 [95% CI, 1.02-1.74] and 1.77 [95% CI, 1.36-2.32], respectively). LDL-C level was not significantly associated with the ASCVD outcome in this population (HR, 1.00 [95% CI, 0.77-1.30] for the highest tertile). LIMITATIONS: Associations based on observational data do not permit inferences about causal associations.

conclusionsHigher VLDL-C and Apo-B levels, as well as lower HDL-C and Apo-AI levels, are associated with increased risk for ASCVD. These findings support future investigations into pharmacologic targeting of lipoproteins beyond LDL-C, such as triglyceride-rich lipoproteins, to reduce residual risk for ASCVD among individuals with CKD.

Indexed as

Cause of DeathAdultAgedAge FactorsApolipoproteinsAtherosclerosisCardiovascular DiseasesCohort StudiesComorbidityFemaleHumansHydroxymethylglutaryl-CoA Reductase InhibitorsLipidsMaleMiddle AgedPrevalenceApolipoproteinsHydroxymethylglutaryl-CoA Reductase InhibitorsLipidsapolipoproteinatherosclerotic cardiovascular disease (ASCVD)chronic kidney disease (CKD)high-density lipoprotein cholesterol (HDL-C)ischemic strokeLipidsmyocardial infarction (MI)triglyceridevery low-density lipoprotein cholesterol (VLDL-C)

Identifiers

PMID30686529
PMCPMC6615056
OpenAlexW2912328078

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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.