Radiofrequency Catheter Ablation for the Treatment of Idiopathic Premature Ventricular Contractions Originating from the Right Ventricular Outflow Tract: A Systematic Review and Meta‐Analysis
Bibliographic record
Abstract
BACKGROUND: Frequent idiopathic premature ventricular contractions (PVCs) have been associated with left ventricular cardiomyopathy. Idiopathic PVCs often originate from the right ventricular outflow tract (RVOT), and radiofrequency catheter ablation (RFCA) is being used as a treatment to alleviate symptoms. A meta-analysis was performed to evaluate RFCA for the treatment of frequent idiopathic PVCs on heart function. METHODS AND RESULTS: A literature search was conducted using Medline and Embase to identify studies evaluating the effects of RFCA as treatment for PVCs originating from the RVOT. Articles were chosen if they reported the effect of RFCA on the quantity of PVCs or ventricular function. Only studies in English were included. Articles were excluded if they did not separate results for PVCs originating from areas other than the RVOT. A total of 450 articles were retrieved from electronic searches, and 14 articles were included in this systematic review. Six of these were meta-analyzed (N = 70) and showed a reduction in the total number of PVCs in 24 hours after RFCA by a mean of -30089.44 confidence interval [CI]: -31658.47, -28520.40, P < 0.00001). Left ventricular ejection fraction (LVEF) was reported in five of the 14 studies, which included 108 patients. RFCA significantly improved LVEF by a mean of 10.36 (CI: 8.75, 11.97, P < 0.00001) in patients with frequent PVCs from the RVOT. The remaining studies reported their results differently and were not included in the meta-analyses but were described separately. CONCLUSIONS: RFCA reduces the number of PVCs and improves the cardiac function in patients with idiopathic frequent PVCs originating from the RVOT.
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How this classification was reachedexpand
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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.007 | 0.004 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, 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".