The Cost-Effectiveness of Rivaroxaban Plus Aspirin Compared with Aspirin Alone in the COMPASS Trial: A US Perspective
Bibliographic record
Abstract
BACKGROUND: Rivaroxaban 2.5 mg twice daily with aspirin 100 mg daily was shown to be better than aspirin 100 mg daily for preventing cardiovascular (CV) death, stroke or myocardial infarction in patients with either stable coronary artery disease (CAD) or peripheral artery disease (PAD). The cost-effectiveness of this regimen in this population is essential for decision-makers to know. METHODS: US direct healthcare system costs (in USD) were applied to hospitalized events, procedures and study drugs utilized by all patients. We determined the mean cost per participant for the full duration of the trial (mean follow-up of 23 months) plus quality-adjusted life years (QALYs) and the incremental cost-effectiveness ratio (ICER) over a lifetime using a two-state Markov model with 1-year cycle length. Sensitivity analyses were performed on the price of rivaroxaban and the annual discontinuation rate. RESULTS: The costs of events and procedures were reduced for Cardiovascular Outcomes for People Using Anticoagulation Strategies (COMPASS) patients who received rivaroxaban 2.5 mg orally (BID) plus acetylsalicylic acid (ASA) compared with ASA alone. Total costs were higher for the combination group ($7426 versus $4173) after considering acquisition costs of the study drug. Over a lifetime, patients receiving rivaroxaban plus ASA incurred $27,255 more and gained 1.17 QALYs compared with those receiving ASA alone resulting in an ICER of $23,295/QALY. ICERs for PAD only and polyvascular disease subgroups were lower. CONCLUSION: Rivaroxaban 2.5 mg BID plus ASA compared with ASA alone was cost-effective (high value) in the USA. COMPASS ClinicalTrials.gov identifier: NCT01776424.
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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 | 0.007 | 0.012 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.002 | 0.005 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.004 | 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".