Single-dose oral anti-arrhythmic drugs for cardioversion of recent-onset atrial fibrillation: a systematic review and network meta-analysis of randomized controlled trials
Bibliographic record
Abstract
AIMS: Single oral dose anti-arrhythmic drugs (AADs) are used to cardiovert recent-onset atrial fibrillation (AF); however, the optimal agent is uncertain. METHODS: We performed a systematic review and network meta-analysis of randomized trials testing single oral dose AADs vs. any comparator to cardiovert AF <7 days duration. We searched MEDLINE, Embase, and CENTRAL to April 2020. The primary outcome was successful cardioversion at timepoint nearest 8 h after administration. RESULTS: From 12 712 citations, 22 trials (2320 patients) were included. Thirteen trials included patients with some degree of heart failure; 19 included patients with some degree of ischaemic heart disease vs. placebo or rate-control (32% success) at 8 h, flecainide [73%, network odds ratio (OR) 7.6, 95% credible interval (CrI) 4.4-14.0], propafenone (70%, OR 4.6, CrI 2.9-7.3), and pilsicainide (59%, OR 10.0, CrI 1.8-69.0), but not amiodarone (28%, OR 1.0, CrI 0.4-2.8) were superior. Flecainide (OR 7.5, CrI 2.6-24.0) and propafenone (OR 4.5, CrI 1.6-13.0) were superior to amiodarone; propafenone vs. flecainide did not statistically differ (OR 0.6, CrI 0.3-1.1). At longest follow-up, amiodarone was superior to placebo (OR 11.0, CrI 3.2-41.0), flecainide vs. amiodarone (OR 0.79, CrI 0.19-3.1), and propafenone vs. amiodarone (OR 0.36, CrI 0.092-1.4) were not statistically different, and flecainide was superior to propafenone (OR 2.2, CrI 1.1-4.8). Atrial and ventricular tachyarrhythmias, bradyarrhythmias, and hypotension were rare with PO AADs. CONCLUSION: Single oral dose Class 1C AADs are effective and safe for cardioversion of recent-onset AF. Flecainide may be superior to propafenone. Amiodarone is a slower acting alternative.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.023 | 0.035 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.091 | 0.040 |
| Bibliometrics | 0.001 | 0.002 |
| 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; both teacher heads agree on what is shown here.
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".