Evidence map›Paper›PMID 38591325›Full record

ArticleJournal of the American Heart Association2024

Discordance Between Very Low-Density Lipoprotein Cholesterol and Low-Density Lipoprotein Cholesterol Increases Cardiovascular Disease Risk in a Geographically Defined Cohort.

Kristina E Seehusen, Alan T Remaley, Maureen Sampson, Jeffrey W Meeusen, Nicholas B Larson, Paul A Decker, Jill M Killian, Paul Y Takahashi, Véronique L Roger, Sheila M Manemann and 2 more

Open access · goldAbstract read
In one paragraph

Article in Journal of the American Heart Association, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
1.7field-weighted citation impact, top 17% 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

4 citing papers in PubMed, 3 citations in OpenAlex.

  1. Trial
  2. Review
  3. Article
  4. Review
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

12 authors at 6 institutions in 1 country.

Kristina E SeehusenUniversity of Minnesota School of Public Health Minneapolis MN.ORCID 0009-0003-6251-3418
Alan T RemaleyLipoprotein Metabolism Laboratory, Translational Vascular Medicine Branch National Heart, Lung, and Blood Institute, National Institutes of Health Bethesda MD.ORCID 0000-0003-2473-5549
Maureen SampsonClinical Center, Department of Laboratory Medicine National Institutes of Health Bethesda MD.ORCID 0000-0003-0885-250X
Jeffrey W MeeusenDepartment of Laboratory Medicine and Pathology Mayo Clinic Rochester MN.ORCID 0000-0002-0784-034X
Nicholas B LarsonDepartment of Quantitative Health Sciences Mayo Clinic Rochester MN.ORCID 0000-0002-3468-4215
Paul A DeckerDepartment of Quantitative Health Sciences Mayo Clinic Rochester MN.ORCID 0000-0002-3756-4227
Jill M KillianDepartment of Quantitative Health Sciences Mayo Clinic Rochester MN.ORCID 0000-0003-3906-4020
Paul Y TakahashiDivision of Community Internal Medicine, Department of Medicine National Heart, Lung, and Blood Institute, National Institutes of Health Bethesda MD.ORCID 0000-0002-1891-309X
Véronique L RogerDepartment of Quantitative Health Sciences Mayo Clinic Rochester MN.ORCID 0000-0002-9347-7865
Sheila M ManemannDepartment of Quantitative Health Sciences Mayo Clinic Rochester MN.
Reyna LamDepartment of Quantitative Health Sciences Mayo Clinic Rochester MN.ORCID 0009-0000-4600-2683
Suzette J BielinskiDepartment of Quantitative Health Sciences Mayo Clinic Rochester MN.ORCID 0000-0002-2905-5430
Mayo Clinic in Florida · USNational Institutes of Health · USMayo Clinic · USMayo Clinic in Arizona · USNational Institutes of Health Clinical Center · USUniversity of Minnesota · US

Funding

Harnessing the Electronic Health Record to Predict Risk of Cardiovascular DiseaseR01HL136659 · NHLBI · MAYO CLINIC ROCHESTER · PI BIELINSKI, SUZETTE JANINE · 2018 to 2021
$3.2M
Interdisciplinary Infrastructure for Aging Research: Rochester Epidemiology ProjectR33AG058738 · NIA · MAYO CLINIC ROCHESTER · PI LEBRASSEUR, NATHAN K, OLSON, JANET E · 2020 to 2022
$2.4M
Interdisciplinary Infrastructure for Aging Research: Rochester Epidemiology ProjectR21AG058738 · NIA · MAYO CLINIC ROCHESTER · PI LEBRASSEUR, NATHAN K, OLSON, JANET E · 2018 to 2019
$437k
NHLBI NIH HHS R01 HL136659NIA NIH HHS R21 AG058738NIA NIH HHS R33 AG058738
6 · The paper itself

Abstract

backgroundClinical risk scores are used to identify those at high risk of atherosclerotic cardiovascular disease (ASCVD). Despite preventative efforts, residual risk remains for many individuals. Very low-density lipoprotein cholesterol (VLDL-C) and lipid discordance could be contributors to the residual risk of ASCVD. METHODS AND

resultsCardiovascular disease-free residents, aged ≥40 years, living in Olmsted County, Minnesota, were identified through the Rochester Epidemiology Project. Low-density lipoprotein cholesterol (LDL-C) and VLDL-C were estimated from clinically ordered lipid panels using the Sampson equation. Participants were categorized into concordant and discordant lipid pairings based on clinical cut points. Rates of incident ASCVD, including percutaneous coronary intervention, coronary artery bypass grafting, stroke, or myocardial infarction, were calculated during follow-up. The association of LDL-C and VLDL-C with ASCVD was assessed using Cox proportional hazards regression. Interaction between LDL-C and VLDL-C was assessed. The study population (n=39 098) was primarily White race (94%) and female sex (57%), with a mean age of 54 years. VLDL-C (per 10-mg/dL increase) was significantly associated with an increased risk of incident ASCVD (hazard ratio, 1.07 [95% CI, 1.05-1.09];

conclusionsVLDL-C and lipid discordance are associated with a greater risk of ASCVD and can be estimated from clinically ordered lipid panels to improve ASCVD risk assessment.

Indexed as

AtherosclerosisCardiovascular DiseasesCholesterol, LDLCholesterol, VLDLFemaleHumansMiddle AgedRisk AssessmentRisk FactorsCholesterol, LDLCholesterol, VLDLatherosclerotic cardiovascular diseaselipid discordancelow‐density lipoprotein cholesterolvery low‐density lipoprotein cholesterol

Identifiers

PMID38591325
PMCPMC11262497
OpenAlexW4394619936

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.