Atrial fibrillation with a structurally normal heart in pregnancy: An international survey on current practice
Bibliographic record
Abstract
Background Little evidence exists for the optimal management of atrial fibrillation with a structurally normal heart in pregnancy. Methods A survey was sent to members of two associations to obtain input on optimal management of atrial fibrillation in pregnancy. The survey presented four cases with respect to (1) baseline investigations; (2) rate versus rhythm control; (3) chemical versus electrical cardioversion; and (4) anticoagulation. Results Sixty-one responders from 11 countries participated. High agreement was noted for baseline investigations. A quarter (25%) of participants chose elective cardioversion even with a reversible precipitant. Electrical cardioversion was preferred over chemical ( p < 0.05). Anticoagulation strategies were heterogeneous except in the presence of a left atrial appendage thrombus. Discussion This study revealed that there was little consensus in current practice in pregnancy beyond basic investigations. An adaptation of established guidelines to the pregnant population would require a meeting of Cardiologists with input from colleagues in Obstetric Medicine.
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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 | 0.002 | 0.007 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 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".