Evidence map›Paper›PMID 33619994›Full record

ArticleJournal of the American Heart Association2021

Developing an Internally Validated Veterans Affairs Women Cardiovascular Disease Risk Score Using Veterans Affairs National Electronic Health Records.

Haekyung Jeon-Slaughter, Xiaofei Chen, Shirling Tsai, Bala Ramanan, Ramin Ebrahimi

Open access · goldAbstract read
In one paragraph

Article in Journal of the American Heart Association, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed, 1 pooled it
1.6field-weighted citation impact, top 16% 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

13 citing papers in PubMed, 1 synthesis or guideline pooled it, 20 citations in OpenAlex.

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  10. Examining Predictors of Myocardial Infarction.International journal of environmental research and public health · 2021
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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

5 authors at 3 institutions in 1 country.

Haekyung Jeon-SlaughterVeterans Affairs North Texas Health Care System Dallas TX.
Xiaofei ChenVeterans Affairs North Texas Health Care System Dallas TX.
Shirling TsaiVeterans Affairs North Texas Health Care System Dallas TX.
Bala RamananVeterans Affairs North Texas Health Care System Dallas TX.
Ramin EbrahimiVeterans Affairs Greater Los Angeles Health Care System Los Angeles CA.
VA North Texas Health Care System · USSouthern Methodist University · USUniversity of California, Los Angeles · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background The current American College of Cardiology/American Heart Association women cardiovascular disease (CVD) risk score suboptimally estimates CVD risk for young and minority women in the military. The current study developed an internally validated CVD risk score for women military service members and veterans using the Veterans Affairs (VA) national electronic health records data. Methods and Results The study cohort included 69 574 White, Black, and Hispanic women service members and veterans aged 30 to 79 years in 2007 treated in the VA Health Care System between January 1, 2007 and December 31, 2017 (henceforth, VA women). Stratified by race and ethnicity, the new VA women CVD risk model estimated risk coefficients and 10-year CVD risk using a time-variant covariate Cox model. Harrell C-statistics, calibration plots, and net classification index were used to assess accuracy and prognostic performance of the new VA women CVD risk model. The new internally validated VA women CVD risk score performed better in predicting VA women 10-year atherosclerosis cardiovascular disease risk than the pooled cohort American College of Cardiology/American Heart Association risk score in both accuracy (White Harrell C-statistics, 70% versus 61%; Black, 68% versus 63%) and prognostic performance (White net classification index, 0.31; 95% CI, 0.26-0.33; Black net classification index, 0.06; 95% CI, 0.03-0.09). Conclusions The proposed VA women CVD risk score improves accuracy of the existing American College of Cardiology/American Heart Association CVD risk assessment tool in predicting long-term CVD risk for VA women, particularly in young and racial/ethnic minority women.

Indexed as

EthnicityVeterans HealthAdultAgedCardiovascular DiseasesElectronic Health RecordsFemaleHumansMiddle AgedRisk AssessmentUnited StatesUnited States Department of Veterans AffairsVeteranscardiovascular disease risk scorecardiovascular riskpredictive modelwomenwomen veterans

Identifiers

PMID33619994
PMCPMC8174271
OpenAlexW3131472975

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.