XANTUS-EL: A real-world, prospective, observational study of patients treated with rivaroxaban for stroke prevention in atrial fibrillation in Eastern Europe, Middle East, Africa and Latin America
Bibliographic record
Abstract
BACKGROUND: The prospective, observational XANTUS study demonstrated low rates of stroke and major bleeding in real-world rivaroxaban-treated patients with non-valvular atrial fibrillation (NVAF) from Western Europe, Canada and Israel. XANTUS-EL is a component of the overall XANTUS programme and enrolled patients with NVAF treated with rivaroxaban from Eastern Europe, the Middle East and Africa (EEMEA) and Latin America. METHODS: Patients with NVAF starting rivaroxaban for stroke prevention were consecutively recruited and followed for 1 year, at approximately 3-month intervals, or for ≥30 days after permanent rivaroxaban discontinuation. Primary outcomes were major bleeding, adverse events (AEs), serious AEs and all-cause mortality. Secondary outcomes included stroke, non-central nervous system systemic embolism (non-CNS SE), transient ischaemic attack (TIA), myocardial infarction (MI) and non-major bleeding. All major outcomes were centrally adjudicated. RESULTS: -VASc and HAS-BLED scores were 2.0, 3.6 and 1.6, respectively. Treatment-emergent event rates were (events/100 patient-years, [95% confidence interval]): major bleeding 0.9 (0.5-1.4); all-cause mortality 1.7 (1.2-2.4); stroke/non-CNS SE 0.7 (0.4-1.2); any AE 18.1 (16.2-20.1) and any serious AE 8.3 (7.0-9.7). One-year treatment persistence was 81.9%. CONCLUSIONS: XANTUS-EL confirmed low stroke and major bleeding rates in patients with NVAF from EEMEA and Latin America. The population was younger but with more heart failure and hypertension than XANTUS; stroke/SE rate was similar but major bleeding lower.
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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 | 0.003 | 0.004 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 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".