Silent cerebral microvascular disease and the longitudinal risk of cognitive decline in atrial fibrillation
Bibliographic record
Abstract
The SKAF study aimed to investigate the incidence of asymptomatic cerebrovascular disorders and cognitive decline in patients with nonvalvular atrial fibrillation (NVAF). We enrolled patients with NVAF aged ≥ 60 years and those with sinus rhythm (SR) for comparison. We collected the head magnetic resonance imaging test and Montreal Cognitive Assessment (MoCA) data at baseline and 24 months follow-up. The primary endpoint was the composite of silent ischemic stroke and microbleeding, and the secondary endpoint was cognitive decline, both over the 24 months of follow-up. In total, 313 patients were enrolled. The SR and NVAF groups comprised 99 and 213 patients, respectively (male, 193 [62%]; age, 72.2 ± 6.5 years). The composite of silent ischemic stroke and microbleeding showed no significant difference between the two groups (17.4% vs. 17.4%; p = 1.00). However, the NVAF group exhibited a significantly larger decline in cognition changes in MoCA score than the SR group (- 1.04 vs. 0,000; p = 0.041). The risk of silent cerebral microvascular disease was equivalent between patients with SR and NVAF. Clinically, NVAF affected cognitive decline.
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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 | 0.001 | 0.002 |
| 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 | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 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".