ArticleCirculation. Heart failure2020
Predictive Accuracy of Heart Failure-Specific Risk Equations in an Electronic Health Record-Based Cohort.
Article in Circulation. Heart failure, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 22 papers, 2 of them syntheses that pooled it.
What it found
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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.
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.
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Who cites it
22 citing papers in PubMed, 2 syntheses or guidelines pooled it, 30 citations in OpenAlex.
- Risk prediction models for detecting a new diagnosis of heart failure within 5 years in the community: a systematic review.BMJ open · 2026Pooled it
- Electronic Health Record-Driven Approaches in Primary Care to Strengthen Hypertension Management Among Racial and Ethnic Minoritized Groups in the United States: Systematic Review.Journal of medical Internet research · 2023Pooled it
- Scalable risk stratification of undiagnosed heart failure using routine health data and its association with imaging phenotypes and outcomes.Scientific reports · 2026Article
- Artificial Intelligence-enhanced Electrocardiography for Heart Failure Screening and Risk Stratification.Current heart failure reports · 2026Review
- Biomarkers for Screening and Diagnosis of Heart Failure in Cardiovascular-Kidney-Metabolic Syndrome: A Narrative Review.International journal of molecular sciences · 2026Review
- Integrated Model for Predicting Cancer Therapy-Related Cardiac Dysfunction in Non-Hodgkin Lymphoma.Biomedicines · 2025Article
- Comparison of heart failure risk assessment tools among cancer survivors.Cardio-oncology (London, England) · 2024Article
- Performance of risk models to predict mortality risk for patients with heart failure: evaluation in an integrated health system.Clinical research in cardiology : official journal of the German Cardiac Society · 2024Article
- Incident heart failure in chronic kidney disease: proteomics informs biology and risk stratification.European heart journal · 2024Article
- Heart Failure Management through Telehealth: Expanding Care and Connecting Hearts.Journal of clinical medicine · 2024Review
- Article
- Preventing new-onset heart failure: Intervening at stage A.American journal of preventive cardiology · 2023Review
- Virtual healthcare solutions in heart failure: a literature review.Frontiers in cardiovascular medicine · 2023Review
- Validation of the WATCH-DM and TRS-HFJournal of the American Heart Association · 2022Article
- New strategies and therapies for the prevention of heart failure in high-risk patients.Clinical cardiology · 2022Review
- Moving the Paradigm Forward for Prediction and Risk-Based Primary Prevention of Heart Failure in Special Populations.Current atherosclerosis reports · 2022Review
- Ten-Year Risk-Prediction Equations for Incident Heart Failure Hospitalizations in Chronic Kidney Disease: Findings from the Chronic Renal Insufficiency Cohort Study and the Multi-Ethnic Study of Atherosclerosis.Journal of cardiac failure · 2022Article
- Validation of Heart Failure-Specific Risk Equations in 1.3 Million Israeli Adults and Usefulness of Combining Ambulatory and Hospitalization Data from a Large Integrated Health Care Organization.The American journal of cardiology · 2022Article
- Distribution and Correlates of Incident Heart Failure Risk in South Asian Americans: The MASALA Study.Journal of cardiac failure · 2021Article
- Risk-Based Approach for the Prediction and Prevention of Heart Failure.Circulation. Heart failure · 2021Review
Corrections and comments
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Authors and funding
13 authors at 2 institutions in 1 country.
Funding
Abstract
backgroundGuidelines recommend identification of individuals at risk for heart failure (HF). However, implementation of risk-based prevention strategies requires validation of HF-specific risk scores in diverse, real-world cohorts. Therefore, our objective was to assess the predictive accuracy of the Pooled Cohort Equations to Prevent HF within a primary prevention cohort derived from the electronic health record.
methodsWe retrospectively identified patients between the ages of 30 to 79 years in a multi-center integrated healthcare system, free of cardiovascular disease, with available data on HF risk factors, and at least 5 years of follow-up. We applied the Pooled Cohort Equations to Prevent HF tool to calculate sex and race-specific 5-year HF risk estimates. Incident HF was defined by the
resultsAmong 31 256 eligible adults, mean age was 51.4 years, 57% were women and 11% Black. Incident HF occurred in 568 patients (1.8%) over 5-year follow-up. The modified Pooled Cohort Equations to Prevent HF model for 5-year risk prediction of HF had excellent discrimination in White men (C-statistic 0.82 [95% CI, 0.79-0.86]) and women (0.82 [0.78-0.87]) and adequate discrimination in Black men (0.69 [0.60-0.78]) and women (0.69 [0.52-0.76]). Calibration was fair in all race-sex subgroups (χ
conclusionsA novel sex- and race-specific risk score predicts incident HF in a real-world, electronic health record-based cohort. Integration of HF risk into the electronic health record may allow for risk-based discussion, enhanced surveillance, and targeted preventive interventions to reduce the public health burden of HF.
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Registered trials
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.