Efficacy and safety of rivaroxaban plus aspirin in women and men with chronic coronary or peripheral artery disease
Bibliographic record
Abstract
AIMS: The COMPASS trial demonstrated that the combination of rivaroxaban 2.5 mg twice daily and aspirin 100 mg once daily compared with aspirin 100 mg once daily reduced major adverse cardiovascular events (MACE) in patients with chronic coronary artery disease or peripheral artery disease by 24% during a mean follow-up of 23 months. We explored whether this effect varies by sex. METHODS AND RESULTS: The effects were examined in women and men using log-rank tests and Kaplan-Meier curve. Hazard ratios (HRs) and corresponding 95% confidence intervals (CIs) were obtained from stratified Cox proportional hazards models to explore subgroup effects including subgroup of women and men according to baseline modified REACH risk score. Of 27 395 patients randomized, 18 278 were allocated to receive rivaroxaban plus aspirin (n = 9152) or aspirin alone (n = 9126), and of these, 22.1% were women. Women compared with men had similar incidence rates for MACE and major bleeding but borderline lower rates for myocardial infarction (1.7% vs. 2.2%, P = 0.05). The effect of combination therapy compared with aspirin in women and men was consistent for MACE (women: 3.8% vs. 5.2%, HR 0.72, 95% CI 0.54-0.97; men: 4.2% vs. 5.5%, HR 0.76, 95% CI 0.66-0.89; P interaction 0.75) and major bleeding (women: 3.1% vs. 1.4%, HR 2.22, 95% CI 1.42-3.46; men: 3.2% vs. 2.0%, HR 1.60, 95% CI 1.29-1.97; P interaction 0.19). There was no significant interaction between randomized treatment and baseline modified REACH score above or below the median for MACE or major bleeding. CONCLUSION: In patients with stable coronary artery disease or peripheral artery disease, the combination of rivaroxaban (2.5 mg twice daily) and aspirin compared with aspirin alone appears to produce consistent benefits in women and men, independent of baseline cardiovascular risk.
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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 | 0.002 | 0.003 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.002 | 0.002 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| 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".