Evidence map›Paper›PMID 39280798›Full record

ArticleJACC. Advances2024

Coronary Artery Calcium for Risk Stratification Among Persons With Very High HDL Cholesterol.

Alexander C Razavi, Anurag Mehta, Nathan D Wong, Alan Rozanski, Matthew J Budoff, Eugenia Gianos, Viola Vaccarino, Marly van Assen, Carlo N De Cecco, Michael D Miedema and 12 more

Abstract read
In one paragraph

Article in JACC. Advances, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
–field-weighted citation impact
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

2 citing papers in PubMed.

  1. Article
  2. Article
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

22 authors.

Alexander C RazaviEmory Clinical Cardiovascular Research Institute, Emory University School of Medicine, Atlanta, Georgia, USA.
Anurag MehtaVCU Health Pauley Heart Center and Division of Cardiology, Department of Internal Medicine, Virginia Commonwealth University School of Medicine, Richmond, Virginia, USA.
Nathan D WongHeart Disease Prevention Program, Division of Cardiology, Department of Medicine, University of California, Irvine, California, USA.
Alan RozanskiDivision of Cardiology, Mount Sinai, St. Luke's Hospital, New York, New York, USA.
Matthew J BudoffLundquist Institute, Harbor-UCLA Medical Center, Torrance, California, USA.
Eugenia GianosDepartment of Cardiology, Donald and Barbara Zucker School of Medicine at Hofstra/ Northwell, Hempstead, New York, USA.
Viola VaccarinoEmory Clinical Cardiovascular Research Institute, Emory University School of Medicine, Atlanta, Georgia, USA.
Marly van AssenTranslational Laboratory for Cardiothoracic Imaging and Artificial Intelligence, Department of Radiology and Imaging Sciences, Emory University School of Medicine, Atlanta, Georgia, USA.
Carlo N De CeccoTranslational Laboratory for Cardiothoracic Imaging and Artificial Intelligence, Department of Radiology and Imaging Sciences, Emory University School of Medicine, Atlanta, Georgia, USA.
Michael D MiedemaNolan Family Center for Cardiovascular Health, Minneapolis Heart Institute Foundation, Minneapolis, Minnesota, USA.
John A RumbergerCorazon Imaging, Columbus, Ohio, USA.
Martin Bødtker MortensenDepartment of Cardiology, Aarhus University Hospital, Aarhus, Denmark.
Leslee J ShawBlavatnik Family Women's Health Research Institute, Mount Sinai Medical Center, New York, New York, USA.
Khurram NasirDivision of Cardiovascular Prevention and Wellness, Houston Methodist DeBakey Heart & Vascular Center, Houston, Texas, USA.
Roger S BlumenthalJohns Hopkins Ciccarone Center for Prevention of Cardiovascular Disease, Johns Hopkins University School of Medicine, Baltimore, Maryland, USA.
Anand RohatgiDivision of Cardiology, Department of Medicine, University of Texas Southwestern School of Medicine, Dallas, USA.
Arshed A QuyyumiEmory Clinical Cardiovascular Research Institute, Emory University School of Medicine, Atlanta, Georgia, USA.
Laurence S SperlingEmory Clinical Cardiovascular Research Institute, Emory University School of Medicine, Atlanta, Georgia, USA.
Seamus P WheltonJohns Hopkins Ciccarone Center for Prevention of Cardiovascular Disease, Johns Hopkins University School of Medicine, Baltimore, Maryland, USA.
Michael J BlahaJohns Hopkins Ciccarone Center for Prevention of Cardiovascular Disease, Johns Hopkins University School of Medicine, Baltimore, Maryland, USA.
Daniel S BermanDepartment of Imaging, Cedars-Sinai Medical Center, Los Angeles, California, United States.
Omar DzayeJohns Hopkins Ciccarone Center for Prevention of Cardiovascular Disease, Johns Hopkins University School of Medicine, Baltimore, Maryland, USA.

Funding

Multidimensional Correlates of Atherosclerotic Resilience in Rural CommunitiesF32HL172499 · NHLBI · EMORY UNIVERSITY · PI RAZAVI, ALEXANDER C. · 2024 to 2024
$62k
NHLBI NIH HHS F32 HL172499NHLBI NIH HHS L30 HL175751
6 · The paper itself

Abstract

Background: Compared to normal high-density lipoprotein (HDL) cholesterol values, very high HDL cholesterol is associated with a higher incidence of mortality and atherosclerotic cardiovascular disease (ASCVD). As such, clinical risk stratification among persons with very high HDL cholesterol is challenging. Objectives: Among persons with very high HDL cholesterol, the purpose was to determine the prevalence of coronary artery calcium (CAC) and compare the association between traditional risk factors vs CAC for all-cause mortality and ASCVD. Methods: The primary analysis was completed among 446 participants from the Cedars-Sinai Medical Center of the CAC Consortium with very high HDL cholesterol (≥77 mg/dL in men, ≥97 mg/dL in women). Cox proportional hazards regression assessed the association of CAC and traditional risk factors with all-cause mortality during a median follow-up of 10.7 years. Replication and validation analyses were performed for all-cause mortality among 119 participants from the Multi-Ethnic Study of Atherosclerosis (MESA) with very high HDL cholesterol, who also had information on incident ASCVD. Results: The mean age was 57.9 years old, 49% were women, and the median HDL cholesterol was 98 mg/dL. One-half of participants (50%) had prevalent CAC, in whom the median CAC score was 118. Prevalent CAC conferred a 3.6-fold higher risk of all-cause mortality (HR: 3.64; 95% CI: 1.21-11.01), which appeared to be a more robust predictor than individual traditional risk factors beyond age. In the validation sample, prevalent CAC but not individual traditional risk factors were associated with all-cause mortality (HR: 2.39; 95% CI: 1.07-5.34) and a 4.0-fold higher risk of ASCVD (HR: 4.06; 95% CI: 1.11-14.84). Conclusions: Measurement of CAC may facilitate clinical risk assessment among individuals with very high HDL cholesterol.

Indexed as

cardiovascular diseasescoronary artery calciumHDL cholesterolmortalityrisk assessment

Identifiers

PMID39280798
PMCPMC11402127

What OpenQuestion holds

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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.