Evidence map›Paper›PMID 41758103›Full record

ArticleJACC. Asia2026

New 10-Year Atherosclerosis Cardiovascular Disease Risk Score for Asian and American Indian Women Service Members.

Haekyung Jeon-Slaughter, Erum Z Whyne, Callum Doyle, Xiaofei Chen, Sy Han Chiou, Shirling Tsai, Ramin Ebrahimi

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PubMed Full text at PMC Publisher
In one paragraph

Article in JACC. Asia, 2026. 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. 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

7 authors.

Haekyung Jeon-SlaughterVA North Texas Health Care System, Dallas, Texas, USA; Department of Internal Medicine, University of Texas Southwestern Medical Center, Dallas, Texas, USA. Electronic address: Haekyung.Jeon-Slaughter@utsouthwestern.edu.
Erum Z WhyneVA North Texas Health Care System, Dallas, Texas, USA.
Callum DoyleDepartment of Statistics and Data Science, Southern Methodist University, Dallas, Texas, USA.
Xiaofei ChenOncology Biometrics, AstraZeneca, Gaithersburg, Maryland, USA.
Sy Han ChiouDepartment of Statistics and Data Science, Southern Methodist University, Dallas, Texas, USA.
Shirling TsaiVA North Texas Health Care System, Dallas, Texas, USA; Department of Surgery, University of Texas Southwestern Medical Center, Dallas, Texas, USA.
Ramin EbrahimiVeterans Affairs Greater Los Angeles Health Care System, Los Angeles, California, USA; Department of Medicine, University of California at Los Angeles, Los Angeles, California, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundTo date, there is no validated atherosclerosis cardiovascular disease risk calculator developed for Asian/Hawaiian (Asian) Americans and American Indian/Alaska Native (AI) women service members based on large, representative data.

objectivesThis study developed a validated Department of Veterans Affairs (VA) women cardiovascular disease (CVD) risk score for Asian and AI women service members and veterans aged 20 to 80 using VA and Military Health System electronic health record data, largest electronic health record data in the United States.

methodsThe study extracted data from the VA Corporate Data Warehouse and selected 15,042 unique Asian and 5,663 AI women service members and veterans who received care from the VA and Military Health System between 2007 and 2022. Closely following the model construct of the VA women CVD risk score, a time-varying covariate Cox model was used to estimate effects of CVD predictors-age, untreated and treated systolic blood pressure, antihypertensive medication, total cholesterol, high-density lipoprotein cholesterol, diabetes, active smoking, and major depression-for each race group separately. Internal and cross validation of the models was conducted.

resultsThe VA women CVD risk score for Asian and AI women service members showed good model accuracy, with C-statistics of 0.78 and 0.77, respectively. The calibration plots showed approximation to a 45° line-perfect model fit, and internal validation and cross-validation results showed good validation.

conclusionsThe new Asian/AI VA women CVD risk scores showed both good discrimination and accuracy and, thus, are appropriate to assess 10-year atherosclerosis CVD risk for Asian and AI women service members and veterans.

Indexed as

Alaska NativesAmerican IndiansASCVD risk scoreAsian womencardiovascular diseaseNative Americanswomen service memberswomen veterans

Identifiers

PMID41758103
PMCPMC13491086

What Socratic holds

Textmetadata
LicenceCC BY
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 Socratic graph.