Evidence map›Paper›PMID 29976289›Full record

ArticleJournal of the American College of Cardiology2018

Remnant-Like Particle Cholesterol, Low-Density Lipoprotein Triglycerides, and Incident Cardiovascular Disease.

Anum Saeed, Elena V Feofanova, Bing Yu, Wensheng Sun, Salim S Virani, Vijay Nambi, Josef Coresh, Cameron S Guild, Eric Boerwinkle, Christie M Ballantyne and 1 more

Open access · greenAbstract read
In one paragraph

Article in Journal of the American College of Cardiology, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 90 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
90citing papers in PubMed, 1 pooled it
16.1field-weighted citation impact, top 1% 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

90 citing papers in PubMed, 1 synthesis or guideline pooled it, 177 citations in OpenAlex.

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30 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

11 authors at 4 institutions in 1 country.

Anum SaeedSection of Cardiovascular Research, Department of Medicine, Baylor College of Medicine, Houston, Texas; Center for Cardiovascular Disease Prevention, Methodist DeBakey Heart and Vascular Center, Houston, Texas.
Elena V FeofanovaHuman Genetics Center, The University of Texas School of Public Health, Houston, Texas.
Bing YuHuman Genetics Center, The University of Texas School of Public Health, Houston, Texas.
Wensheng SunSection of Cardiovascular Research, Department of Medicine, Baylor College of Medicine, Houston, Texas; Center for Cardiovascular Disease Prevention, Methodist DeBakey Heart and Vascular Center, Houston, Texas.
Salim S ViraniSection of Cardiovascular Research, Department of Medicine, Baylor College of Medicine, Houston, Texas; Center for Cardiovascular Disease Prevention, Methodist DeBakey Heart and Vascular Center, Houston, Texas; Section of Health Services Research, Department of Medicine, Baylor College of Medicine, Houston, Texas; Section of Cardiology, Michael E. DeBakey Veterans Affairs Medical Center, Houston, Texas.
Vijay NambiSection of Cardiovascular Research, Department of Medicine, Baylor College of Medicine, Houston, Texas; Center for Cardiovascular Disease Prevention, Methodist DeBakey Heart and Vascular Center, Houston, Texas; Section of Cardiology, Michael E. DeBakey Veterans Affairs Medical Center, Houston, Texas.
Josef CoreshDepartment of Epidemiology, Biostatistics, and Medicine, Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland.
Cameron S GuildDepartment of Medicine, University of Mississippi School of Medicine, Jackson, Mississippi.
Eric BoerwinkleHuman Genetics Center, The University of Texas School of Public Health, Houston, Texas.
Christie M BallantyneSection of Cardiovascular Research, Department of Medicine, Baylor College of Medicine, Houston, Texas; Center for Cardiovascular Disease Prevention, Methodist DeBakey Heart and Vascular Center, Houston, Texas; Section of Cardiology, Department of Medicine, Baylor College of Medicine, Houston, Texas.
Ron C HoogeveenSection of Cardiovascular Research, Department of Medicine, Baylor College of Medicine, Houston, Texas; Center for Cardiovascular Disease Prevention, Methodist DeBakey Heart and Vascular Center, Houston, Texas. Electronic address: ronh@bcm.edu.
Houston Methodist · USThe University of Texas Health Science Center at Houston · USJohns Hopkins University · USUniversity of Mississippi · US

Funding

The Human Genome Sequencing CenterU54HG003273 · NHGRI · BAYLOR COLLEGE OF MEDICINE · PI GIBBS, RICHARD A · 2004 to 2015
$341.3M
Building on GWAS for NHLBI-disease: the CHARGE consortiumRC2HL102419 · NHLBI · UNIVERSITY OF TEXAS HLTH SCI CTR HOUSTON · PI BOERWINKLE, ERIC A. · 2009 to 2010
$27.6M
NHGRI NIH HHS U54 HG003273NHLBI NIH HHS HHSN268201100005CNHLBI NIH HHS HHSN268201100006CNHLBI NIH HHS HHSN268201100007CNHLBI NIH HHS HHSN268201100008CNHLBI NIH HHS HHSN268201100009CNHLBI NIH HHS HHSN268201100010CNHLBI NIH HHS HHSN268201100011CNHLBI NIH HHS HHSN268201100012CNHLBI NIH HHS RC2 HL102419
6 · The paper itself

Abstract

backgroundHypertriglyceridemia is associated with increased remnant-like particle cholesterol (RLP-C) and triglycerides in low-density lipoprotein (LDL-TG). Recent studies have focused on atherogenicity of RLP-C, with few data on LDL-TG.

objectivesThe aim of this study was to examine associations of RLP-C and LDL-TG with incident cardiovascular disease (CVD) events and genetic variants in the ARIC (Atherosclerosis Risk In Communities) study.

methodsFasting plasma RLP-C and LDL-TG levels were measured in 9,334 men and women without prevalent CVD. Participants were followed for incident CVD events (coronary heart disease and ischemic stroke) for up to 16 years. Associations between LDL-TG and RLP-C levels and genetic variants were assessed by whole-exome sequencing using single-variant analysis for common variants and gene-based burden tests for rare variants; both an unbiased and a candidate gene approach were explored.

resultsRLP-C and LDL-TG levels were correlated with triglyceride levels (r = 0.85 and r = 0.64, p < 0.0001). In minimally adjusted analyses, RLP-C and LDL-TG were associated with CVD risk, but in models adjusted for traditional risk factors including lipids, only LDL-TG was associated with incident CHD (hazard ratio: 1.28; 95% confidence interval: 1.10 to 1.50) and stroke (hazard ratio: 1.47; 95% confidence interval: 1.13 to 1.92). A common APOE variant, rs7412, had the strongest association with LDL-TG and RLP-C (p < 5 × 10

conclusionsRLP-C and LDL-TG levels were predictive of CVD and associated with APOE variants. LDL-TG may represent a marker of dysfunctional remnant lipoprotein metabolism associated with increased CVD risk. Further research is needed to determine whether LDL-TG plays a causal role in CVD and may be a target for therapy.

Indexed as

AgedApolipoproteins ECardiovascular DiseasesCholesterolCholesterol, LDLExomeFemaleHumansLipoproteinsMaleMiddle AgedProspective StudiesTriglyceridesApoE protein, humanApolipoproteins ECholesterolCholesterol, LDLLipoproteinsremnant-like particle cholesterolTriglyceridescoronary heart diseaseremnant lipoproteinsriskstroketriglyceride-rich lipoproteins

Identifiers

PMID29976289
PMCPMC6051722
OpenAlexW2810548862

What OpenQuestion holds

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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.