Trial reportJACC. Clinical electrophysiology2021
Predictors of Major Atrial Fibrillation Endpoints in the National Heart, Lung, and Blood Institute HCMR.
Trial report in JACC. Clinical electrophysiology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 24 papers, 1 of them a synthesis that pooled 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.
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
24 citing papers in PubMed, 1 synthesis or guideline pooled it, 39 citations in OpenAlex.
- Hypertrophic cardiomyopathy management: a systematic review of the clinical practice guidelines and recommendations.European heart journal. Quality of care & clinical outcomes · 2025Pooled it
- Atrial electrophysiology in hypertrophic cardiomyopathy: current insights and knowledge gaps.Journal of interventional cardiac electrophysiology : an international journal of arrhythmias and pacing · 2026Review
- Predicting Atrial Fibrillation Risk in Hypertrophic Cardiomyopathy Patients: Left Atrial Phasic Function and Strain Mechanics.CJC open · 2026Article
- Myocardial Fibrosis in Hypertrophic Cardiomyopathy: Leveraging Quantitative Imaging and Artificial Intelligence for Precision Management.Reviews in cardiovascular medicine · 2026Review
- Atrial fibrillation prediction in patients with hypertrophic cardiomyopathy based on long-term follow-up data and machine learning model.Frontiers in physiology · 2026Article
- Development, Validation, and Subtype Analysis of a Predictive Model for Atrial Fibrillation in Patients With Hypertrophic Cardiomyopathy.Reviews in cardiovascular medicine · 2025Article
- Age-Dependent Role of Genetics and Renal Function for Atrial Fibrillation Development in Hypertrophic Cardiomyopathy.Korean circulation journal · 2025Article
- Favorable cardiac remodeling in response to treatment in obstructive hypertrophic cardiomyopathy: a current appraisal.Future cardiology · 2025Review
- Predicting New-Onset Atrial Fibrillation in Hypertrophic Cardiomyopathy: A Review.Journal of clinical medicine · 2025Review
- Complementary classification of hypertrophic cardiomyopathy using unsupervised cluster analysis on left ventricular function.Scientific reports · 2025Article
- Hypertrophic cardiomyopathy: insights into pathophysiology and novel therapeutic strategies from clinical studies.The Egyptian heart journal : (EHJ) : official bulletin of the Egyptian Society of Cardiology · 2025Review
- Protein Biomarkers of Adverse Clinical Features and Events in Sarcomeric Hypertrophic Cardiomyopathy.Circulation. Heart failure · 2024Article
- Cardiac magnetic resonance biomarkers as surrogate endpoints in cardiovascular trials for myocardial diseases.European heart journal · 2023Review
- Hypertrophic Cardiomyopathy Diagnosis and Treatment in High- and Low-Income Countries: A Narrative Review.Cureus · 2023Review
- Imaging in Hypertrophic Cardiomyopathy: Beyond Risk Stratification.Heart failure clinics · 2023Review
- Multimodality Imaging in Patients with Hypertrophic Cardiomyopathy and Atrial Fibrillation.Diagnostics (Basel, Switzerland) · 2023Review
- The Role of Cardiovascular Magnetic Resonance Imaging in Patients with Cardiac Arrhythmias.Reviews in cardiovascular medicine · 2023Review
- Cardiac Magnetic Resonance in HCM Phenocopies: From Diagnosis to Risk Stratification and Therapeutic Management.Journal of clinical medicine · 2023Review
- 3-Dimensional Strain Analysis of Hypertrophic Cardiomyopathy: Insights From the NHLBI International HCM Registry.JACC. Cardiovascular imaging · 2023Article
- Reverse remodeling of left atrium assessed by cardiovascular magnetic resonance feature tracking in hypertrophic obstructive cardiomyopathy after septal myectomy.Journal of cardiovascular magnetic resonance : official journal of the Society for Cardiovascular Magnetic Resonance · 2023Article
Corrections and comments
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Authors and funding
36 authors at 20 institutions in 5 countries.
Funding
Abstract
objectivesThis study sought to identify predictors of major clinically important atrial fibrillation endpoints in hypertrophic cardiomyopathy.
backgroundAtrial fibrillation (AF) is a common morbidity associated with hypertrophic cardiomyopathy (HCM). The HCMR (Hypertrophic Cardiomyopathy Registry) trial is a prospective natural history study of 2,755 patients with HCM with comprehensive phenotyping.
methodsAll patients received yearly telephone follow-up. Major AF endpoints were defined as requiring electrical cardioversion, catheter ablation, hospitalization for >24 h, or clinical decisions to accept permanent AF. Penalized regression via elastic-net methodology identified the most important predictors of major AF endpoints from 46 variables. This was applied to 10 datasets, and the variables were ranked. Predictors that appeared in all 10 sets were then used in a Cox model for competing risks and analyzed as time to first event.
resultsData from 2,631 (95.5%) patients were available for analysis after exclusions. A total of 127 major AF endpoints events occurred in 96 patients over 33.3 ± 12.4 months. In the final model, age, body mass index (BMI), left atrial (LA) volume index, LA contractile percent (active contraction), moderate or severe mitral regurgitation (MR), and history of arrhythmia the most important. BMI, LA volume index, and LA contractile percent were age-dependent. Obesity was a stronger risk factor in younger patients. Increased LA volume, reduced LA contractile percent, and moderate or severe MR put middle-aged and older adult patients at increased risk.
conclusionsThe major predictors of major AF endpoints in HCM include older age, high BMI, moderate or severe MR, history of arrhythmia, increased LA volume, and reduced LA contractile percent. Prospective testing of a risk score based on these parameters may be warranted.
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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.