Atrioventricular Nodal Ablation in Atrial Fibrillation
Bibliographic record
Abstract
BACKGROUND: In the treatment of patients with refractory atrial fibrillation (AF), the safety and efficacy of atrioventricular nodal ablation (AVNA) versus pharmacotherapy alone remains unclear. Additionally, the impact of AVNA in patients with reduced systolic function is of growing interest. METHODS AND RESULTS: A total of 5 randomized or prospective trials were included for efficacy review (314 patients), 11 studies for effectiveness review (810 patients), and 47 studies for safety review (5632 patients). All-cause mortality was similar between AVNA and medical therapy (3.1% versus 3.3%; relative risk ratio, 1.05; 95% confidence interval [CI], 0.29-3.85). There was no significant difference in exercise duration or ejection fraction (EF) with AVNA relative to pharmacotherapy. In subgroup analysis, patients with baseline systolic dysfunction (116 patients; mean EF, 44%) showed significant relative improvement in EF after AVNA (+4% greater; 95% CI, 3.11-4.89). In pooled observational analysis, AVNA was also associated with significant improvement in EF only in patients with systolic dysfunction (+7.44%; 95% CI, 5.4-9.5). The incidence of procedure-related mortality (0.27%) and malignant arrhythmia (0.57%) was low. At mean follow-up of 26.5 months, the incidence of sudden cardiac death after AVNA was 2.1%. There was significant heterogeneity in quality-of-life scales used; compared with pharmacotherapy, AVNA was associated with significant improvement in several symptoms (palpitations, dyspnea). CONCLUSIONS: In the management of refractory AF, AVNA is associated with improvement in symptoms and quality of life, with a low incidence of procedure morbidity. In patients with reduced systolic function, AVNA demonstrates small but significantly improved echocardiographic outcomes relative to medical therapy alone.
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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 | 0.007 | 0.018 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.003 | 0.002 |
| Bibliometrics | 0.003 | 0.003 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 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 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".