XALIA-LEA: An observational study of venous thromboembolism treatment with rivaroxaban and standard anticoagulation in the Asia-Pacific, Eastern Europe, the Middle East, Africa and Latin America
Bibliographic record
Abstract
INTRODUCTION: The prospective, non-interventional XALIA study investigated the safety and effectiveness of rivaroxaban and standard anticoagulation for the treatment of deep vein thrombosis (DVT). XALIA-LEA was conducted in regions not included in XALIA (Latin America, Eastern Europe, the Middle East, Africa, and the Asia-Pacific), and enrolled patients with isolated pulmonary embolism (PE). MATERIALS AND METHODS: Adult patients with acute venous thromboembolism (VTE) indicated for ≥3 months' anticoagulant treatment were eligible; treatment strategies were at the physician's discretion. Patients receiving rivaroxaban or standard anticoagulation (unfractionated or low-molecular weight heparin/fondaparinux alone or overlapping with and followed by a vitamin K antagonist [VKA]) were included in the safety analysis. "Early switchers" to rivaroxaban (i.e. after receiving heparin/fondaparinux for >2-14 days and/or a VKA for 1-14 days) were not included in the safety analysis set. RESULTS: Of the 1972 eligible patients, 1285 received rivaroxaban, 402 received standard anticoagulation, and 285 were early switchers. Most patients who received rivaroxaban were appropriately selected, received the correct dosing schedule, reported few adverse effects. Outcomes were similar to previously published results, with rivaroxaban associated with a low rate of major bleeding (1.6%), recurrent VTE (1.4%) and all-cause mortality (2.3%). Including early switchers, relatively fewer patients with index isolated PE received rivaroxaban (14.4%) versus standard anticoagulation therapy (20.9%). Some regional variations and differences in outcomes by VTE subtype were apparent with standard anticoagulation treatment. CONCLUSION: XALIA-LEA reaffirms the safety and effectiveness of rivaroxaban for VTE treatment for countries not included in XALIA.
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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 | 0.004 | 0.007 |
| 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) | 0.002 | 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".