1358Prevalence of silent vascular brain lesions among patients with atrial fibrillation and no known history of stroke
Bibliographic record
Abstract
Background: Patients with atrial fibrillation (AF) have an increased risk of stroke. However, the total burden of ischemic or hemorrhagic brain lesions in AF patients remains largely unknown. We assessed the prevalence of such lesions on cerebral magnetic resonance imaging (cMRI) in a large and unselected cohort of AF patients. Methods: Swiss-AF is a prospective multicenter observational AF cohort study in Switzerland (n=2,415; 13 sites). cMRI was performed in all eligible patients based on a standardized protocol. All scans were reviewed in a central core lab according to standardized criteria. Results: cMRI scans were available in 1,736 patients. 230 (13%) patients had a previous history of stroke (95% ischemic and 5% hemorrhagic) and 159 (9%) a history of a transient ischemic attack (TIA). Among the 1,388 patients without a history of stroke or TIA, 366 (26%) were women and the mean age was 72±9 years. Of these, 1,234 (89%) were on OAC and the mean CHA2DS2-VASc Score was 2.8±1.4. Two hundred and seven (15%) patients had silent ischemic infarctions, 222 (16%) lacunes and 269 (19%) microbleeds. Only 819 (59%) patients had no evidence for silent vascular brain lesions.
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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 | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| 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) | 0.003 | 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".