Apixaban vs Aspirin According to CHA2DS2-VASc Score in Subclinical Atrial Fibrillation
Bibliographic record
Abstract
ARTESiA (Apixaban for the Reduction of Thrombo-Embolism in Patients With Device-Detected Sub-Clinical Atrial Fibrillation) demonstrated that apixaban, compared with aspirin , significantly reduced stroke and systemic embolism (SE) but increased major bleeding in patients with subclinical atrial fibrillation. To help inform decision making, the authors evaluated the efficacy and safety of apixaban according to baseline CHA 2 DS 2 -VASc score. We performed a subgroup analysis according to baseline CHA 2 DS 2 -VASc score and assessed both the relative and absolute differences in stroke/SE and major bleeding. Baseline CHA 2 DS 2 -VASc scores were <4 in 1,578 (39.4%) patients, 4 in 1,349 (33.6%), and >4 in 1,085 (27.0%). For patients with CHA 2 DS 2 -VASc >4, the rate of stroke was 0.98%/year with apixaban and 2.25%/year with aspirin ; compared with aspirin, apixaban prevented 1.28 (95% CI: 0.43-2.12) strokes/SE per 100 patient-years and caused 0.68 (95% CI: −0.23 to 1.57) major bleeds . For CHA 2 DS 2 -VASc <4, the stroke/SE rate was 0.85%/year with apixaban and 0.97%/year with aspirin. Apixaban prevented 0.12 (95% CI: −0.38 to 0.62) strokes/SE per 100 patient-years and caused 0.33 (95% CI: −0.27 to 0.92) major bleeds . For patients with CHA 2 DS 2 -VASc =4, apixaban prevented 0.32 (95% CI: −0.16 to 0.79) strokes/SE per 100 patient-years and caused 0.28 (95% CI: −0.30 to 0.86) major bleeds. One in 4 patients in ARTESiA with subclinical atrial fibrillation had a CHA 2 DS 2 -VASc score >4 and a stroke/SE risk of 2.2% per year. For these patients, the benefits of treatment with apixaban in preventing stroke/SE are greater than the risks. The opposite is true for patients with CHA 2 DS 2 -VASc score <4. A substantial intermediate group (CHA 2 DS 2 -VASc =4) exists in which patient preferences will inform treatment decisions. (Apixaban for the Reduction of Thrombo-Embolism in Patients With Device-Detected Sub-Clinical Atrial Fibrillation ; NCT01938248 )
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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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.000 | 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) | 0.000 | 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".