Atrial Fibrillation Detected by Handheld ECG and Ischemic Stroke Risk in a 55- to 64-Year-Old Chinese Population
Bibliographic record
Abstract
BACKGROUND: Atrial fibrillation (AF) screening is recommended at age ≥65 years, but the age threshold in Asians is uncertain because of higher ischemic stroke risk <65 years. OBJECTIVES: This study evaluated AF screening yield in a Chinese population aged 55 to 64 years, comparing stroke risk of those with and without AF, and the effect of oral anticoagulants (OAC). METHODS: Patients aged 55 to 64 years attending Hong Kong outpatient clinics underwent opportunistic handheld electrocardiogram screening. Repeat screening was performed if >1 clinic visits. Crude incidence rate ratios of ischemic stroke were determined and compared between 3 cohorts: screen-detected AF; clinically diagnosed AF; and no AF. Ischemic stroke risk for all AF categories was compared with individuals without AF, using adjusted subdistribution HRs (aSHRs) accounting for death as a competing risk. RESULTS: -VASc score 1.9 ± 1.4. At a median follow-up of 5.0 years, 2 patients (6%) with screen-detected AF experienced ischemic stroke, both with ≥1 non-age, non-sex risk factor. AF exposure without OAC treatment was associated with highest risk of ischemic stroke (aSHR: 3.4 [1.3-8.5]). OAC treatment had similar low ischemic stroke risk as no AF. CONCLUSIONS: Although diagnostic yield of AF screening in Chinese patients aged 55 to 64 years is low, those with AF are at increased stroke risk and may warrant being on anticoagulation.
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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) | 0.001 | 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".