17-03: Effect of Age on Atrial Fibrillation Patient's Knowledge and Perceptions about Oral Anticoagulation Therapy: Results from an International Survey
Bibliographic record
Abstract
Background: Stroke knowledge and perception of stroke risk are likely to affect oral anticoagulant (OAC) treatment preferences in patients with atrial fibrillation (AF). This international prospective study investigated the influence of age on patient perceptions of AF, stroke knowledge, preferences for oral anticoagulation (OAC) treatment decisions, and attributes of OAC affecting treatment choice. Methods: Cross-sectional survey of 937 AF patients receiving OAC [overall mean (SD) age 54.3(16.6) years; 37.1% female; mean (SD) CHA2 DS2 -VASc score 2.6(1.7)] recruited from 5 countries (USA, Canada, Germany, Japan, France) in those aged <65 (n = 628) and ≥65 years (n = 309). Results: Significantly fewer elderly patients had experienced a recent stroke and were less often concerned about stroke (Table). Good levels of stroke knowledge were higher in older AF patients (p < 0.001) and self-reported adherence to OAC was higher (p < 0.05). Stroke prevention was the most important factor when choosing OAC, particularly among older AF patients. Younger patients were more concerned by side effects other than major bleeding, dietary restrictions, and antidote availability when choosing OAC than older patients. *p < 0.05; **p < 0.001 vs. patients <65 years Conclusion: Younger AF patients were more concerned about stroke but had poorer stroke knowledge, and reported lower adherence to OAC. Stroke prevention is the most important factor when choosing OAC, regardless of age, with younger patients more concerned about side effects, antidote availability and dietary restrictions.
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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 | 0.002 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 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 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".