ArticleJournal of the American Heart Association2019
Atherosclerotic Cardiovascular Disease Risk Prediction in Disaggregated Asian and Hispanic Subgroups Using Electronic Health Records.
Article in Journal of the American Heart Association, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 70 papers.
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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.
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Who cites it
70 citing papers in PubMed, 112 citations in OpenAlex.
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- Artificial intelligence based retinal imaging for cardiovascular risk and statin guidance in retinal vein occlusion.American journal of preventive cardiology · 2026Article
- Hispanic/Latino ethnic background and genetic ancestry in relation to atherosclerotic cardiovascular disease risk estimation: Findings from the Multi-Ethnic Study of Atherosclerosis (MESA).American journal of preventive cardiology · 2025Article
- Predicting Risk of Cardiovascular Disease EVENTs (PREVENT) Equations: What Clinicians Need to Know?Current atherosclerosis reports · 2025Review
- Differences in Coronary Heart Disease and Stroke Incidence Among Single-Race and Multiracial Asian and Pacific Islander Subgroups in Hawaii and California: A Retrospective Cohort Study.Journal of the American Heart Association · 2025Article
- 2025 Heart Disease and Stroke Statistics: A Report of US and Global Data From the American Heart Association.Circulation · 2025Review
- Artificial Intelligence in Ischemic Heart Disease Prevention.Current cardiology reports · 2025Review
- Changing the paradigm in heart failure: shifting from treatment to prevention.Heart failure reviews · 2025Review
- Population-Level Gaps in Coronary Artery Disease Care: A Focused Review.Methodist DeBakey cardiovascular journal · 2025Review
- Electrical Heterogeneity in Hispanic Background Subpopulations: The HCHS/SOL.JACC. Advances · 2024Article
- Improving Cardiovascular Disease Primary Prevention Treatment Thresholds in a New England Health Care System.JACC. Advances · 2024Article
- Atherosclerotic Cardiovascular Disease Primary and Secondary Prevention in Latino Subgroups.Journal of general internal medicine · 2024Article
- Pitfalls in Developing Machine Learning Models for Predicting Cardiovascular Diseases: Challenge and Solutions.Journal of medical Internet research · 2024Article
- Cardiovascular Risk Associated With Social Determinants of Health at Individual and Area Levels.JAMA network open · 2024Article
- Article
- Patterns and gaps in guideline-directed statin use for atherosclerotic cardiovascular disease by race and ethnicity.American journal of preventive cardiology · 2024Article
- Unraveling atherosclerotic cardiovascular disease risk factors through conditional probability analysis with Bayesian networks: insights from the AZAR cohort study.Scientific reports · 2024Article
- 2024 Heart Disease and Stroke Statistics: A Report of US and Global Data From the American Heart Association.Circulation · 2024Review
- Clinical characteristics and statin eligibility of patients under 50 with ST-elevation myocardial infarction.Clinical cardiology · 2024Article
- Review
10 more citing papers are in PubMed but not listed here.
Corrections and comments
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Authors and funding
6 authors at 3 institutions in 3 countries.
Funding
Abstract
Background Risk assessment is the cornerstone for atherosclerotic cardiovascular disease ( ASCVD ) treatment decisions. The Pooled Cohort Equations ( PCE ) have not been validated in disaggregated Asian or Hispanic populations, who have heterogeneous cardiovascular risk and outcomes. Methods and Results We used electronic health record data from adults aged 40 to 79 years from a community-based, outpatient healthcare system in northern California between January 1, 2006 and December 31, 2015, without ASCVD and not on statins. We examined the calibration and discrimination of the PCE and recalibrated the equations for disaggregated race/ethnic subgroups. The cohort included 231 622 adults with a mean age of 53.1 (SD 9.7) years and 54.3% women. There were 56 130 Asian (Chinese, Asian Indian, Filipino, Japanese, Vietnamese, and other Asian) and 19 760 Hispanic (Mexican, Puerto Rican, and other Hispanic) patients. There were 2703 events (332 and 189 in Asian and Hispanic patients, respectively) during an average of 3.9 (SD 1.5) years of follow-up. The PCE overestimated risk for NHW s, African Americans, Asians, and Hispanics by 20% to 60%. The extent of overestimation of ASCVD risk varied by disaggregated racial/ethnic subgroups, with a predicted-to-observed ratio of ASCVD events ranging from 1.1 for Puerto Rican patients to 1.9 for Chinese patients. The PCE had adequate discrimination, although it varied significantly by race/ethnic subgroups (C-indices 0.66-0.83). Recalibration of the PCE did not significantly improve its performance. Conclusions Using electronic health record data from a large, real-world population, we found that the PCE generally overestimated ASCVD risk, with marked heterogeneity by disaggregated Asian and Hispanic subgroups.
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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 Socratic graph.