Evidence map›Paper›PMID 39759440›Full record

ArticleJACC. Advances2025

Estimating the Risk of Cardiovascular Events in U.S. Veterans Using the SMART Risk Score.

Subhash Banerjee, Rick A Weideman, David A Jacob, Helene R DiGregorio, Kevin C Kelly, Avantika Banerjee, Milan Ravishankar, Patrick T Strickland, Helayna M Abraham, Nicole E Minniefield and 6 more

Abstract read
In one paragraph

Article in JACC. Advances, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Trial
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

16 authors.

Subhash BanerjeeBaylor Scott & White Heart and Vascular Hospital, Dallas, Texas, USA.
Rick A WeidemanVeterans Affairs North Texas Healthcare System, Dallas, Texas, USA.
David A JacobVeterans Affairs North Texas Healthcare System, Dallas, Texas, USA.
Helene R DiGregorioHouston Methodist Hospital, Houston, Texas, USA.
Kevin C KellyVeterans Affairs North Texas Healthcare System, Dallas, Texas, USA.
Avantika BanerjeeMedStar Georgetown University Hospital, Washington, DC, USA.
Milan RavishankarBaylor University Medical Center, Dallas, Texas, USA.
Patrick T StricklandBaylor University Medical Center, Dallas, Texas, USA.
Helayna M AbrahamBaylor University Medical Center, Dallas, Texas, USA.
Nicole E MinniefieldVeterans Affairs North Texas Healthcare System, Dallas, Texas, USA.
Bradley R GrimsleyBaylor Scott & White Heart and Vascular Hospital, Dallas, Texas, USA.
Jeffrey M SchusslerBaylor Scott & White Heart and Vascular Hospital, Dallas, Texas, USA.
Rohit J ParmarBaylor Scott & White Heart and Vascular Hospital, Dallas, Texas, USA.
Robert C StolerBaylor Scott & White Heart and Vascular Hospital, Dallas, Texas, USA.
Emmanouil S BrilakisMinneapolis Heart Institute and Minneapolis Heart Institute Foundation, Minneapolis, Minnesota, USA.
Bertis B LittleVeterans Affairs North Texas Healthcare System, Dallas, Texas, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Estimation of long-term risk for cardiovascular events using the SMART (Secondary Manifestations of Arterial Disease) risk score can be potentially valuable in devising risk mitigation strategies. Objectives: The objective of this study was to apply the SMART risk score to compute the risk for major adverse cardiovascular events (MACE) in the U.S. Veteran patient population. Methods: We used the Veterans Affairs (VA) informatics and computing infrastructure to identify patients referred for an initial outpatient cardiology evaluation between the years 2003 and 2010 to estimate 10-year risk for composite MACE (all-cause death, ischemic stroke, and nonfatal myocardial infarction). Cox regression and survival curves were used to develop and validate the VA SMART score. Results: The study population included 472,702 patients (mean age 60 ± 8.9 years, 96% male) who were allocated into development (n = 94,091) and test cohorts (n = 378,611). The median follow-up time was 7.9 years (IQR: 6.0-9.9). The VA-SMART score allowed accurate estimation of MACE. Patients were stratified in low (<10%), moderate (10% to 20%), high (20% to 30%), and very high (≥30%) risk groups with observed events rates of 6.8%, 17.9%, 28.5%, and 49.5%, respectively, in the test cohort ( Conclusions: The VA SMART risk score can estimate the long-term risk of recurrent cardiovascular events in U.S. Veterans and could help implement individualized risk mitigation strategies.

Indexed as

cardiovascular diseaserisk scoreveterans

Identifiers

PMID39759440
PMCPMC11697775

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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.