New Insights in Exercise for Arrhythmogenic Cardiomyopathy: A Narrative Review
Bibliographic record
Abstract
Arrhythmogenic cardiomyopathy (ACM) is an inherited cardiac condition and an important cause of sudden cardiac death among athletes. ACM may result in ventricular dysfunction with a high rate of ventricular arrhythmia disproportionate to the degree of cardiac chamber dilatation or dysfunction. Although ACM is genetically mediated for the most part, exercise has been recognized as a key modulator in its prognosis and outcomes. Several knowledge gaps exist surrounding the interaction between this condition and exercise. ACM is a heterogeneous condition with certain genotype-phenotype correlations that may result in differential impact of exercise. In addition, ACM patients traditionally have been relegated to participate in only low-intensity exercise, but this advice lacks objectivity and clear definitions, and no safe exercise thresholds have been proposed. Finally, no consensus has been reached on which exercise advice is to be given for genotype-positive phenotype-negative family members. The aim of this review is to address these concerns, propose a practical approach for exercise prescription in ACM, and provide an up-to-date literature review of the impact of exercise on the various subtypes of ACM.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.004 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.003 | 0.002 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.002 | 0.002 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.005 | 0.001 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".