Evidence map›Paper›PMID 32662843›Full record

ArticleJAMA network open2020

Estimation of Atherosclerotic Cardiovascular Disease Risk Among Patients in the Veterans Affairs Health Care System.

Jason L Vassy, Bing Lu, Yuk-Lam Ho, Ashley Galloway, Sridharan Raghavan, Jacqueline Honerlaw, Laura Tarko, John Russo, Saadia Qazi, Ariela R Orkaby and 6 more

Open access · goldAbstract read
In one paragraph

Article in JAMA network open, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
19citing papers in PubMed, 1 pooled it
4.5field-weighted citation impact, top 5% 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

19 citing papers in PubMed, 1 synthesis or guideline pooled it, 35 citations in OpenAlex.

  1. Pooled it
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  3. The PREVENT Risk Equations and Cardiovascular Prevention in East Asia.Journal of atherosclerosis and thrombosis · 2026
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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

16 authors at 6 institutions in 1 country.

Jason L VassyVeterans Affairs Boston Healthcare System, Boston, Massachusetts.
Bing LuVeterans Affairs Boston Healthcare System, Boston, Massachusetts.
Yuk-Lam HoVeterans Affairs Boston Healthcare System, Boston, Massachusetts.
Ashley GallowayVeterans Affairs Boston Healthcare System, Boston, Massachusetts.
Sridharan RaghavanVeterans Affairs Eastern Colorado Healthcare System, Aurora.
Jacqueline HonerlawVeterans Affairs Boston Healthcare System, Boston, Massachusetts.
Laura TarkoVeterans Affairs Boston Healthcare System, Boston, Massachusetts.
John RussoVeterans Affairs Boston Healthcare System, Boston, Massachusetts.
Saadia QaziVeterans Affairs Boston Healthcare System, Boston, Massachusetts.
Ariela R OrkabyVeterans Affairs Boston Healthcare System, Boston, Massachusetts.
Vidisha TanukondaDepartment of Biostatistics, Boston University School of Public Health, Boston, Massachusetts.
Luc DjousseVeterans Affairs Boston Healthcare System, Boston, Massachusetts.
J Michael GazianoVeterans Affairs Boston Healthcare System, Boston, Massachusetts.
David R GagnonVeterans Affairs Boston Healthcare System, Boston, Massachusetts.
Kelly ChoVeterans Affairs Boston Healthcare System, Boston, Massachusetts.
Peter W F WilsonAtlanta Veterans Affairs Medical Center, Decatur, Georgia.
VA Boston Healthcare System · USBoston University · USBrigham and Women's Hospital · USHarvard University · USOutcomes Research Consortium · USVeterans Health Administration · US

Funding

CSRD VA I01 CX001025CSRD VA IK2 CX001800CSRD VA IK2 CX001907
6 · The paper itself

Abstract

Importance: Current guidelines recommend statin therapy for millions of US residents for the primary prevention of atherosclerotic cardiovascular disease (ASCVD). It is unclear whether traditional prediction models that do not account for current widespread statin use are sufficient for risk assessment. Objectives: To examine the performance of the Pooled Cohort Equations (PCE) for 5-year ASCVD risk estimation in a contemporary cohort and to test the hypothesis that inclusion of statin therapy improves model performance. Design, Setting, and Participants: This cohort study included adult patients in the Veterans Affairs health care system without baseline ASCVD. Using national electronic health record data, 3 Cox proportional hazards models were developed to estimate 5-year ASCVD risk, as follows: the variables and published β coefficients from the PCE (model 1), the PCE variables with cohort-derived β coefficients (model 2), and model 2 plus baseline statin use (model 3). Data were collected from January 2002 to December 2012 and analyzed from June 2016 to March 2020. Exposures: Traditional ASCVD risk factors from the PCE plus baseline statin use. Main Outcomes and Measures: Incident ASCVD and ASCVD mortality. Results: Of 1 672 336 patients in the cohort (mean [SD] baseline age 58.0 [13.8] years, 1 575 163 [94.2%] men, 1 383 993 [82.8%] white), 312 155 (18.7%) were receiving statin therapy at baseline. During 5 years of follow-up, 66 605 (4.0%) experienced an ASCVD event, and 31 878 (1.9%) experienced ASCVD death. Compared with the original PCE, the cohort-derived model did not improve model discrimination in any of the 4 age-sex strata but did improve model calibration. The PCE overestimated ASCVD risk compared with the cohort-derived model; 211 237 of 1 136 161 white men (18.6%), 29 634 of 218 463 black men (13.6%), 1741 of 44 399 white women (3.9%), and 836 of 16 034 black women (5.2%) would be potentially eligible for statin therapy under the PCE but not the cohort-derived model. When added to the cohort-derived model, baseline statin therapy was associated with a 7% (95% CI, 5%-9%) lower relative risk of ASCVD and a 25% (95% CI, 23%-28%) lower relative risk for ASCVD death. Conclusions and Relevance: In this study, lower than expected rates of incident ASCVD events in a contemporary national cohort were observed. The PCE overestimated ASCVD risk, and more than 15% of patients would be potentially eligible for statin therapy based on the PCE but not on a cohort-derived model. In the statin era, health care professionals and systems should base ASCVD risk assessment on models calibrated to their patient populations.

Indexed as

Coronary Artery DiseaseCohort StudiesFemaleHeart Disease Risk FactorsHumansHydroxymethylglutaryl-CoA Reductase InhibitorsMaleMiddle AgedModels, StatisticalRisk AssessmentRisk FactorsUnited StatesUnited States Department of Veterans AffairsVeterans HealthHydroxymethylglutaryl-CoA Reductase Inhibitors

Identifiers

PMID32662843
PMCPMC7361654
OpenAlexW3042622981

What OpenQuestion 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 OpenQuestion graph.