Efficacy and safety of radiofrequency ablation for hypertrophic obstructive cardiomyopathy: A systematic review and meta‐analysis
Why this work is in the frame
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Bibliographic record
Abstract
BACKGROUND: Although radiofrequency ablation is widely used in the treatment of arrhythmias, its role in septal reduction therapy of hypertrophic obstructive cardiomyopathy (HOCM) is unclear. This meta-analysis aimed to assess the efficacy and safety of radiofrequency septal ablation for HOCM. HYPOTHESIS: Radiofrequency septal ablation is effective and safe for relieving obstruction and improving exercise capacity in patients with HOCM. METHODS: A systematic review of eligible studies that reported outcomes of patients with HOCM who underwent radiofrequency septal ablation was performed using PubMed, Embase, Cochrane, ProQuest, Scopus, ScienceDirect, and Web of Science database. Pooled estimates were calculated using random-effects meta-analysis. Methodological quality was assessed using the Newcastle-Ottawa scale. Publication bias and sensitivity analyses were also performed. RESULTS: Eight studies with 91 patients (mean follow-up 11.6 months) were included. The left ventricular outflow tract (LVOT) gradient at rest decreased significantly after radiofrequency septal ablation (pooled reduction: -58.8 mmHg; 95% confidence interval [CI] -64.3 to -53.5). A reduction was also found in the provoked LVOT gradient with a pooled reduction of -97.6 mmHg (95% CI: -124.4 to -87.1). An improvement of the New York Heart Association classification (mean: -1.4; 95% CI: -1.6 to -1.2) was found during follow-up. The change in septal thickness was minimal and not statistically significant. Two procedure-related deaths were documented, and complete heart block occurred in eight patients. CONCLUSIONS: Radiofrequency septal ablation is effective and safe for relieving LVOT obstruction and improving exercise capacity in patients with HOCM.
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Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.002 | 0.005 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.032 | 0.008 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
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 it