Evidence map›Paper›PMID 26803432›Full record

ArticleAtherosclerosis2016

High-density lipoprotein subclass measurements improve mortality risk prediction, discrimination and reclassification in a cardiac catheterization cohort.

Robert W McGarrah, Damian M Craig, Carol Haynes, Z Elaine Dowdy, Svati H Shah, William E Kraus

Abstract read
In one paragraph

Article in Atherosclerosis, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 38 papers, 4 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
38citing papers in PubMed, 4 pooled it
7.8field-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

38 citing papers in PubMed, 4 syntheses or guidelines pooled it, 77 citations in OpenAlex.

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  18. Updates in Drug Treatment of Severe Hypertriglyceridemia.Current atherosclerosis reports · 2023
    Review
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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

6 authors at 2 institutions in 1 country.

Robert W McGarrahDivision of Cardiology, Department of Medicine, Durham, NC, USA; Duke Molecular Physiology Institute, Duke University Medical Center, Durham, NC, USA. Electronic address: robert.mcgarrah@dm.duke.edu.
Damian M CraigDuke Molecular Physiology Institute, Duke University Medical Center, Durham, NC, USA.
Carol HaynesDuke Molecular Physiology Institute, Duke University Medical Center, Durham, NC, USA.
Z Elaine DowdyDuke Molecular Physiology Institute, Duke University Medical Center, Durham, NC, USA.
Svati H ShahDivision of Cardiology, Department of Medicine, Durham, NC, USA; Duke Molecular Physiology Institute, Duke University Medical Center, Durham, NC, USA; Duke Clinical Research Institute, Durham, NC, USA.
William E KrausDivision of Cardiology, Department of Medicine, Durham, NC, USA; Duke Molecular Physiology Institute, Duke University Medical Center, Durham, NC, USA.
Duke Medical Center · USDuke University · US

Funding

The Genetics Of Biobehavioral Risk Factors For CVDP01HL036587 · NHLBI · DUKE UNIVERSITY · PI KRAUS, WILLIAM E · 1986 to 2020
$35.9M
Coordinating Center for CALERIEU01AG022132 · NIA · DUKE UNIVERSITY · PI KRAUS, WILLIAM E · 2002 to 2013
$24.9M
Resource Core 3 - Metabolomics CoreP30AG028716 · NIA · DUKE UNIVERSITY · PI Virginia B Kraus · 2006 to 2026
$24.6M
MULTIDISCIPLINARY HEART &VASCULAR DISEASEST32HL007101 · NHLBI · DUKE UNIVERSITY · PI FREEDMAN, NEIL J. · 1985 to 2020
$9.8M
Interaction of Subchondral Bone and Articular Cartilage System with Skeletal MuscleUH3TR000505 · NCATS · DUKE UNIVERSITY · PI TRUSKEY, GEORGE A · 2014 to 2016
$3.6M
Metabolomic Quantitative Trait Locus (mQTL) Genetic Mapping in Human CVDR01HL095987 · NHLBI · DUKE UNIVERSITY · PI SHAH, SVATI H. · 2009 to 2013
$3.4M
Exercise Dose-Response Effects in Prediabetes:Responses and MechanismsR01DK081559 · NIDDK · DUKE UNIVERSITY · PI KRAUS, WILLIAM E · 2009 to 2013
$3.1M
The Branched Chain Ketoacid Dehydrogenase Kinase-Phosphatase System as a New Regulatory Node in Mycocardial Fuel SectionK08HL135275 · NHLBI · DUKE UNIVERSITY · PI MCGARRAH, ROBERT WALKER · 2018 to 2022
$713k
NCATS NIH HHS 4UH3-TR000505-03NCATS NIH HHS UH3 TR000505NHLBI NIH HHS 5P01-HL036587-24NHLBI NIH HHS 5R01-HL095987-5NHLBI NIH HHS 5T32HL7101-39NHLBI NIH HHS K08 HL135275NHLBI NIH HHS L30 HL124508NHLBI NIH HHS P01 HL036587NHLBI NIH HHS R01 HL095987NHLBI NIH HHS T32 HL007101NIA NIH HHS 5P30-AG028716-09NIA NIH HHS 5U01 AG022132-10NIA NIH HHS P30 AG028716NIA NIH HHS U01 AG022132NIDDK NIH HHS R01 DK081559NIDDK NIH HHS R01-DK081559-05
6 · The paper itself

Abstract

BACKGROUND AND

aimsRecent failures of HDL cholesterol (HDL-C)-raising therapies to prevent cardiovascular disease (CVD) events have tempered the interest in the role of HDL-C in clinical risk assessment. Emerging data suggest that the atheroprotective properties of HDL depend on specific HDL particle characteristics not reflected by HDL-C. The purpose of this study was to determine the association of HDL particle concentration (HDL-P) and HDL subclasses with mortality in a high-risk cardiovascular population and to examine the clinical utility of these parameters in mortality risk discrimination and reclassification models.

methodsUsing nuclear magnetic resonance spectroscopy, we measured HDL-P and HDL subclasses in 3972 individuals enrolled in the CATHGEN coronary catheterization biorepository; tested for association with all-cause mortality in robust clinical models; and examined the utility of HDL subclasses in incremental mortality risk discrimination and reclassification.

resultsOver an average follow-up of eight years, 29.6% of the individuals died. In a multivariable model adjusted for ten CVD risk factors, HDL-P [HR, 0.71 (0.67-0.76), p = 1.3e-24] had a stronger inverse association with mortality than did HDL-C [HR 0.93 (0.87-0.99), p = 0.02]. Larger HDL size conferred greater risk and the sum of medium- and small-size HDL particles (MS-HDL-P) conferred less risk. Furthermore, the strong inverse relation of HDL-P levels with mortality was accounted for entirely by MS-HDL-P; HDL-C was not associated with mortality after adjustment for MS-HDL-P. Addition of MS-HDL-P to the GRACE Risk Score significantly improved risk discrimination and risk reclassification.

conclusionHDL-P and smaller HDL subclasses were independent markers of residual mortality risk and incremental to HDL-C in a high-risk CVD population. These measures should be considered in risk stratification and future development of HDL-targeted therapies in high-risk populations.

Indexed as

Cardiac CatheterizationNuclear Magnetic Resonance, BiomolecularAgedBiomarkersCardiovascular DiseasesCause of DeathChi-Square DistributionDiscriminant AnalysisFemaleHumansLikelihood FunctionsLipoproteins, HDLMaleMiddle AgedMultivariate AnalysisPredictive Value of TestsBiomarkersLipoproteins, HDLBiomarkersHDLHDL subclassesMortalityRisk prediction

Identifiers

PMID26803432
PMCPMC4764426
OpenAlexW2285582499

What OpenQuestion holds

Textmetadata
LicenceTDM
Read underepoch 390

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.