The Net Clinical Outcome of Dual-Pathway Inhibition in Clinical Practice: The “Xarelto plus Acetylsalicylic Acid: Treatment Patterns and Outcomes in Patients with Atherosclerosis” Registry
Bibliographic record
Abstract
Background: In the COMPASS trial, the combination of acetylsalicylic acid (ASA) plus 2.5 mg rivaroxaban twice daily (dual-pathway inhibition, DPI) has been shown to be superior to ASA monotherapy for the reduction in ischemic major adverse cardiovascular events (MACEs, i.e., cardiovascular death, stroke, or myocardial infarction). Methods: The international XATOA registry (Xarelto plus Acetylsalicylic acid: Treatment patterns and Outcomes in patients with Atherosclerosis) is a prospective post-approval registry that investigates the cardiovascular outcomes of patients taking ASA plus 2.5 mg rivaroxaban. The aim of this pre-specified analysis was to determine the net clinical outcome (NCO), i.e., a combination of MACEs and bleeding events, of DPI in patients from daily clinical practice. Results: Among the 5615 patients, the presence of multiple risk factors resulted in an increase in the total risk of experiencing an NCO event, e.g., from 1.27% (one risk factor) to 2.18% (two risk factors) and 4.07% (three or more risk factors), respectively, with ischemic MACE representing the primary driver of bleeding complications. Conclusions: In the real-world XATOA registry, the annual rate of NCO events was low and numerically similar to those seen in the treatment group in the randomized COMPASS trial.
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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 | 0.005 | 0.007 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 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".