Evidence map›Paper›PMID 41078705›Full record

ArticleAmerican journal of preventive cardiology2025

Coronary artery calcium burden across the pooled cohort equation versus the American Heart Association PREVENT risk calculator.

Gabrielle S Gershon, Jaret R Barr, Alexander C Razavi, Yan Yang, Eshan Momin, Omar Dzaye, Seamus P Whelton, Michael J Blaha, Roger S Blumenthal, Laurence S Sperling and 2 more

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in American journal of preventive cardiology, 2025. 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
–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

4 citing papers in PubMed.

  1. Article
  2. As the picture gets prettier the bar must rise higher.American journal of preventive cardiology · 2026
    Article
  3. Article
  4. 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

12 authors.

Gabrielle S GershonDepartment of Radiology and Imaging Sciences, Translational Laboratory for Cardiothoracic Imaging and Artificial Intelligence, Emory University School of Medicine, Atlanta, GA, USA.
Jaret R BarrDepartment of Radiology and Imaging Sciences, Translational Laboratory for Cardiothoracic Imaging and Artificial Intelligence, Emory University School of Medicine, Atlanta, GA, USA.
Alexander C RazaviEmory University School of Medicine, Division of Cardiology, Department of Medicine, Atlanta, GA, USA.
Yan YangDepartment of Radiology and Imaging Sciences, Translational Laboratory for Cardiothoracic Imaging and Artificial Intelligence, Emory University School of Medicine, Atlanta, GA, USA.
Eshan MominDepartment of Radiology and Imaging Sciences, Translational Laboratory for Cardiothoracic Imaging and Artificial Intelligence, Emory University School of Medicine, Atlanta, GA, USA.
Omar DzayeJohns Hopkins Ciccarone Center for the Prevention of Cardiovascular Disease, Baltimore, MD, USA.
Seamus P WheltonJohns Hopkins Ciccarone Center for the Prevention of Cardiovascular Disease, Baltimore, MD, USA.
Michael J BlahaJohns Hopkins Ciccarone Center for the Prevention of Cardiovascular Disease, Baltimore, MD, USA.
Roger S BlumenthalJohns Hopkins Ciccarone Center for the Prevention of Cardiovascular Disease, Baltimore, MD, USA.
Laurence S SperlingEmory University School of Medicine, Division of Cardiology, Department of Medicine, Atlanta, GA, USA.
Carlo N De CeccoDepartment of Radiology and Imaging Sciences, Translational Laboratory for Cardiothoracic Imaging and Artificial Intelligence, Emory University School of Medicine, Atlanta, GA, USA.
Marly van AssenDepartment of Radiology and Imaging Sciences, Translational Laboratory for Cardiothoracic Imaging and Artificial Intelligence, Emory University School of Medicine, Atlanta, GA, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: The Pooled Cohort Equation (PCE) and the Predicting Risk of cardiovascular disease EVENTs (PREVENT) calculator assess atherosclerotic cardiovascular disease (ASCVD) risk. Coronary artery calcium (CAC) scoring enhances ASCVD risk stratification beyond traditional risk factors, but CAC burden across PCE versus PREVENT risk groups remains unclear. This study evaluates the distribution of CAC burden across PCE and PREVENT risk groups. Methods: A retrospective cohort study was conducted involving 7610 asymptomatic patients who underwent clinically indicated CAC scoring between 2010 and 2023. Ten-year ASCVD risk was calculated using PCE and PREVENT (low<5, borderline-intermediate 5-19, high≥20 %). CAC scores (0, 1-99, 100-299, ≥300) were compared across risk groups using Kendall Tau tests. Results: The mean age was 57±9 years; 41 % of patients were women and 11 % identified as Black. PCE and PREVENT classified 52.5 % and 72.6 % as low-risk, 41 % and 27.1 % as borderline-intermediate risk, and 6.5 % and 3.7 % as high-risk, respectively. Higher PCE/PREVENT risk groups had increased median CAC Conclusions: A significant number of patients had non-zero CAC in low-risk stratification groups for both PREVENT and PCE. CAC distribution was heterogeneous in the borderline-intermediate groups for both PREVENT and PCE. These results emphasize the significance of CAC in further stratifying risk beyond the PCE and PREVENT.

Indexed as

CACCalcium ScoreCTPCEPREVENT

Identifiers

PMID41078705
PMCPMC12508863

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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.