ReviewCirculation. Heart failure2021
Risk-Based Approach for the Prediction and Prevention of Heart Failure.
Review in Circulation. Heart failure, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 34 papers.
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.
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.
Who cites it
34 citing papers in PubMed.
- Comparing incidence of heart failure in individuals with enlarged cardiac chambers versus diabetes.American journal of preventive cardiology · 2026Article
- Prediction of incident heart failure in individuals without prior cardiovascular disease: the SCORE2-HF risk model.European heart journal · 2026Article
- The social context and environment as targets for heart failure prevention.Heart failure reviews · 2026Review
- Modeling day-long ECG signals to predict heart failure risk with explainable AI.NPJ digital medicine · 2026Article
- Plasma proteomics improves risk prediction in heart failure and reveals unique biology in chronic chagas cardiomyopathy.PLoS neglected tropical diseases · 2026Article
- The Evolving Utility of Artificial Intelligence-Based Tools for the Detection of Heart Failure and Cardiomyopathies: From Potential to Implementation.Current heart failure reports · 2026Review
- Sushi, von Willebrand Factor Type A, EGF and Pentraxin Domain-Containing Protein 1: A Novel Fibroblast-Derived Circulating Biomarker Reflecting Cardiac Fibrosis.Journal of the American Heart Association · 2026Article
- Phenotypic age acceleration and all-cause and cardiovascular mortality among U.S. adults at risk for heart failure.American heart journal plus : cardiology research and practice · 2026Article
- Risk Prediction in Cardio-Oncology: Conceptual and Methodological Considerations: JACC: CardioOncology State-of-the-Art Review.JACC. CardioOncology · 2026Review
- Preclinical Heart Failure: A Dynamic Trajectory of Progression, Regression, and Risk.Journal of the American Heart Association · 2026Article
- Integrating ketone bodies in multi-marker risk prediction of incident heart failure in the multi-ethnic study of atherosclerosis.European journal of preventive cardiology · 2026Article
- Integrating Polygenic Scores with Clinical, Lifestyle, and Social Risk Factors to Improve Heart Failure Risk Prediction.Pacific Symposium on Biocomputing. Pacific Symposium on Biocomputing · 2026Article
- Explainable machine learning for early diagnosis of esophageal cancer: A feature-enriched Light Gradient Boosting Machine framework with Shapley Additive Explanations and Local Interpretable Model-Agnostic Explanations interpretations.The Journal of international medical research · 2026Article
- Prognostic Value of Frailty Assessment Combining the Frailty Index Based on Laboratory Tests With the Clinical Frailty Scale in Patients With Acute Heart Failure.Journal of the American Heart Association · 2025Observational
- Use of artificial intelligence for detecting left ventricular dysfunction and predicting incident heart failure risk.ESC heart failure · 2025Review
- Integrating large scale genetic and clinical information to predict cases of heart failure.Communications medicine · 2025Article
- Myocardial fibroblast activation imaging in prediction of cardiac functional improvement of non-ischemic heart failure.International journal of cardiology. Heart & vasculature · 2025Article
- A simple score, CKMiScience · 2025Article
- PREVENT Risk Score vs the Pooled Cohort Equations in MESA.JACC. Advances · 2025Article
- Proteomics-Based Soluble Urokinase Plasminogen Activator Receptor Levels Are Associated With Incident Heart Failure Risk.JACC. Advances · 2025Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
9 authors.
Funding
Abstract
Targeted prevention of heart failure (HF) remains a critical need given the high prevalence of HF morbidity and mortality. Similar to risk-based prevention of atherosclerotic cardiovascular disease, optimal HF prevention strategies should include quantification of risk in the individual patient. In this review, we discuss incorporation of a quantitative risk-based approach into the existing HF staging landscape and the clinical opportunity that exists to translate available data on risk estimation to help guide personalized decision making. We first summarize the recent development of key HF risk prediction tools that can be applied broadly at a population level to estimate risk of incident HF. Next, we provide an in-depth description of the clinical utility of biomarkers to personalize risk estimation in select patients at the highest risk of developing HF. We also discuss integration of genomics-enhanced approaches (eg,
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What Socratic holds
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 Socratic graph.