Atrial Fibrillation Detected by Handheld ECG and Ischemic Stroke Risk in a 55- to 64-Year-Old Chinese Population
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
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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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 | 0.000 | 0.001 |
| 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 it