ArticleFrontiers in cardiovascular medicine2020
Different Pathophysiology and Outcomes of Heart Failure With Preserved Ejection Fraction Stratified by K-Means Clustering.
Article in Frontiers in cardiovascular medicine, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers, 1 of them a synthesis 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
18 citing papers in PubMed, 1 synthesis or guideline pooled it, 31 citations in OpenAlex.
- Discovering Distinct Phenotypical Clusters in Heart Failure Across the Ejection Fraction Spectrum: a Systematic Review.Current heart failure reports · 2023Pooled it
- Machine learning-based phenotyping and assessment of treatment responses in heart failure with preserved ejection fraction.EClinicalMedicine · 2025Article
- Article
- Unsupervised clustering analysis of treatment strategies for elite female athletes with severe stress urinary incontinence: focusing on competition return and SUI improvement.International urology and nephrology · 2025Article
- Mineralocorticoid receptor antagonists and heart failure with preserved ejection fraction: current understanding and future prospects.Heart failure reviews · 2025Review
- Detecting cardiovascular diseases using unsupervised machine learning clustering based on electronic medical records.BMC medical research methodology · 2024Article
- Development of interpretable machine learning models to predict in-hospital prognosis of acute heart failure patients.ESC heart failure · 2024Article
- Multifaced risk factors and clinical impact of a deep Y descent in patients with heart failure irrespective of RV-PA coupling.International journal of cardiology. Heart & vasculature · 2024Article
- Device therapy for patients with atrial fibrillation and heart failure with preserved ejection fraction.Heart failure reviews · 2024Review
- Right ventricular diastolic dysfunction worsens clinical outcomes in Japanese patients with heart failure.International journal of cardiology. Heart & vasculature · 2023Article
- Phenomapping in heart failure with preserved ejection fraction: insights, limitations, and future directions.Cardiovascular research · 2023Review
- Cardiac Structure and Function Phenogroups and Risk of Incident Heart Failure (from the Multi-ethnic Study of Atherosclerosis).The American journal of cardiology · 2023Article
- Review
- Comparison of Unsupervised Machine Learning Approaches for Cluster Analysis to Define Subgroups of Heart Failure with Preserved Ejection Fraction with Different Outcomes.Bioengineering (Basel, Switzerland) · 2022Article
- Identifying novel subgroups in heart failure patients with unsupervised machine learning: A scoping review.Frontiers in cardiovascular medicine · 2022Article
- The Effect of Renal Denervation on Cardiac Diastolic Function in Patients with Hypertension and Paroxysmal Atrial Fibrillation.Evidence-based complementary and alternative medicine : eCAM · 2022Article
- The Impact of Deep Y Descent on Hemodynamics in Patients With Heart Failure and Preserved Left Ventricular Systolic Function.Frontiers in cardiovascular medicine · 2021Article
- Machine Learning Augmented Echocardiography for Diastolic Function Assessment.Frontiers in cardiovascular medicine · 2021Review
Corrections and comments
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Authors and funding
4 authors at 2 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
PubMed holds no abstract for this paper.
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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.