Physician Stated Atrial Fibrillation Management in Light of Treatment Guidelines: Data From an International, Observational Prospective Survey
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Bibliographic record
Abstract
BACKGROUND: The Registry on Cardiac Rhythm Disorders Assessing the Control of Atrial Fibrillation (RecordAF) study is the first worldwide, prospective, survey of real-life management of atrial fibrillation (AF) in recently diagnosed patients (n = 5604) with a 1-year follow-up. HYPOTHESIS: Surveys of AF management have identified a divergence between guidelines and clinical practice, and an overinterpretation of guidelines in low-risk patients. METHODS: : Physicians' theoretical approaches to rhythm and rate control were investigated using a pre-study questionnaire. RESULTS: One cardiologist, from each of the 583 sites in 6 regions, completed a questionnaire on their practice and management of AF patients. In AF patients with structural heart disease (SHD), amiodarone was the most frequent choice of first-line rhythm control agents in all regions. Amiodarone or sotalol tended to be the preferred second-line rhythm control agents, 1 exception being Central/South America. beta-Blockers were the first-line rate control agents for patients with AF and SHD in all regions, and calcium channel blockers and cardiac glycosides were the most common second-line rate control treatments in all regions, except Asia. In lone AF patients, propafenone (30.6%), flecainide (24.1%), and amiodarone (21.7%) were the most common global choices of first-line rhythm control, and amiodarone or sotalol were the preferred second-line rhythm control agents, 1 exception being Central/South America. CONCLUSIONS: These results highlight points of divergence from the American College of Cardiology (ACC)/ American Heart Association (AHA)/European Society of Cardiology (ESC) guidelines for the management of AF in terms of first-line drug selection in patients with associated SHD or coronary artery disease.
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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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| 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 it