ReviewDiagnostics (Basel, Switzerland)2024
Arrhythmogenic Right Ventricular Cardiomyopathy in Children: A Systematic Review.
Review in Diagnostics (Basel, Switzerland), 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.
What it found
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Who cites it
7 citing papers in PubMed.
- Machine learning models enhance detection of arrhythmogenic right ventricular cardiomyopathy.Machine learning. Health · 2026Article
- Magnetic resonance imaging of cardiomyopathies in children: Update by the European Society of Pediatric Radiology Cardiac Imaging Taskforce.Pediatric radiology · 2026Review
- Pediatric heart failure in the era of cardio-immunology: inflammatory-immune context phenotypes, diagnosis, and targeted management.Frontiers in immunology · 2026Review
- Machine Learning Models Enhance Prediction of Arrhythmogenic Right Ventricular Cardiomyopathy.medRxiv : the preprint server for health sciences · 2025Article
- Taxing Hearts:Circulation research · 2025Article
- Particular Aspects of Cardiac Rhythm Disorders in Pediatric Patients.Children (Basel, Switzerland) · 2025Article
- Endurance Training Provokes Arrhythmogenic Right Ventricular Cardiomyopathy Phenotype in Heterozygous Desmoglein-2 Mutants: Alleviation by Preload Reduction.Biomedicines · 2024Article
Corrections and comments
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Authors and funding
7 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Arrhythmogenic right ventricular cardiomyopathy (ARVC) is an inherited disease characterized by the progressive replacement of the normal myocardium by fibroadipocytic tissue. The importance of an early diagnosis is supported by a higher risk of sudden cardiac death in the pediatric population. We reviewed the literature on diagnosis, risk stratification, and prognosis in the pediatric population with ARVC. In case reports which analyzed children with ARVC, the most common sign was ventricular tachycardia, frequently presenting as dizziness, syncope, or even cardiac arrest. Currently, there is no gold standard for diagnosing ARVC in children. Nevertheless, genetic analysis may provide a proper diagnosis tool for asymptomatic cases. Although risk stratification is recommended in patients with ARVC, a validated prediction model for risk stratification in children is still lacking; thus, it is a matter of further research. In consequence, even though ARVC is a relatively rare condition in children, it negatively impacts the survival and clinical outcomes of the patients. Therefore, appropriate and validated diagnostic and risk stratification tools are crucial for the early detection of children with ARVC, ensuring a prompt therapeutic intervention.
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Registered trials
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