Evidence map›Paper›PMID 40956580›Full record

ArticleJAMA network open2025

PREVENT and PCE Models for Estimating ASCVD Risk Stratified by Statin Exposure.

Ming-Sum Lee, James Onwuzurike, Yi-Lin Wu, Darryl E Palmer-Toy, Jaejin An, Wansu Chen

Abstract read
In one paragraph

Article in JAMA network open, 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. Review
  2. Article
  3. Article
  4. Quantifying the Independent and Combined Contributions of Clinical, Genetic, Proteomic, and Metabolomic Signals to ASCVD Prediction.AMIA Joint Summits on Translational Science proceedings. AMIA Joint Summits on Translational Science · 2026
    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

6 authors.

Ming-Sum LeeDepartment of Cardiology, Kaiser Permanente Los Angeles Medical Center, Los Angeles, California.
James OnwuzurikeDepartment of Cardiology, Kaiser Permanente Los Angeles Medical Center, Los Angeles, California.
Yi-Lin WuDepartment of Research and Evaluation, Kaiser Permanente Southern California, Pasadena.
Darryl E Palmer-ToySCPMG Regional Reference Laboratories, Kaiser Permanente Southern California, North Hollywood.
Jaejin AnDepartment of Research and Evaluation, Kaiser Permanente Southern California, Pasadena.
Wansu ChenDepartment of Research and Evaluation, Kaiser Permanente Southern California, Pasadena.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Importance: The Predicting Risk of Cardiovascular Disease Events (PREVENT) equations are an updated model developed to improve on the Pooled Cohort Equation (PCE) for estimating 10-year atherosclerotic cardiovascular disease (ASCVD) risk. These equations facilitate patient-clinician discussions on initiating statin therapy and are used to estimate risk without treatment. However, statin exposure during follow-up was not fully accounted for in the development of these equations. Objective: To assess the performance of the PCE and PREVENT equations in estimating ASCVD, accounting for statin exposure during follow-up. Design, Setting, and Participants: This retrospective cohort study included adults from an integrated health care system with 10-year follow-up data. Adults without diabetes or ASCVD were identified in 2013 and followed-up through December 31, 2023, with analyses performed in January 2025. Main Outcomes and Measures: The primary outcome was incident ASCVD. Estimated risks from PCE and PREVENT equations were compared with observed risks, with discrimination assessed via C statistics. The performance of these equations was evaluated in patient populations stratified by statin exposure during follow-up. Results: Among 193 885 adults (median [IQR] age, 55 [48-63] years; 113 400 [58.5%] women), 6528 experienced an ASCVD event. The C statistic was 0.725 (95% CI, 0.719-0.731) for PCE and 0.723 (95% CI, 0.716-0.729) for PREVENT. In the overall population, regardless of statin exposure, the observed 10-year ASCVD risk was lower than estimated by PCE: 3.6% for individuals with estimated risk of 5% to less than 7.5%, 4.5% for those with estimated risk of 7.5% to less than 10%, and 8.0% for those with estimated risk of 10% or greater. The observed risk more closely aligned with the estimated risk from PREVENT: 5.2% for individuals with estimated risk of 5% to 7.5%, 8.1% for those with estimated risk 7.5% to less than 10%, and 11.6% for those with estimated risk of 10% or greater. In contrast, among patients not exposed to statin therapy during follow-up, PREVENT underestimated risk: observed risk was 8.2% for individuals with estimated risk of 5% to less than 7.5%, and 13.5% for those with estimated risk of 7.5% to less than 10%, while PCE-estimated risk more closely approximated the observed risk. Conclusions and Relevance: In this retrospective cohort study, the PREVENT model underestimated risk in patients not treated with statins, whereas the PCE estimates more closely reflected what a patient's risk would be without statin therapy.

Indexed as

AtherosclerosisHydroxymethylglutaryl-CoA Reductase InhibitorsAgedFemaleHumansMaleMiddle AgedRetrospective StudiesRisk AssessmentRisk FactorsHydroxymethylglutaryl-CoA Reductase Inhibitors

Identifiers

PMID40956580
PMCPMC12441873

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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.