Abstract 227: Healthcare Cost Impact of Continued Anticoagulation With Rivaroxaban Versus Placebo in the EINSTEIN-Extension Trial Population
Bibliographic record
Abstract
Background: The EINSTEIN-extension trial (EINSTEIN-EXT) found that continued treatment with rivaroxaban for an additional 6 or 12 months (versus placebo) after the initial 6-12 months of anticoagulation significantly reduced the risk of recurrent venous thromboembolism (VTE) with a small increased risk of major bleeding (none was fatal or in a critical site). This study aimed to assess the cost impact of rivaroxaban vs. placebo based on EINSTEIN-EXT recurrent VTE and bleed rates. Methods: Total costs were calculated as the sum of drug and clinical event costs, and compared between cohorts from a US managed care perspective. Treatment duration and event rates were obtained from EINSTEIN-EXT. Drug costs were based on wholesale acquisition costs. Cost estimates for clinical events (i.e., recurrent VTE, major bleeding, clinically relevant nonmajor bleeding, and mortality) were determined based on a targeted literature review. Results were examined over a ± 20% range of each cost component in a one-way sensitivity analysis approach. Results: Total cost per person was $1,161 lower for rivaroxaban (vs. placebo) in the base case, with lower cost of clinical events fully offsetting drug costs (Figure 1). The difference in recurrent DVT alone (-$3,102) was greater than drug cost ($3,025). Total cost of rivaroxaban remained lower than placebo in sensitivity analyses. Conclusions: Rivaroxaban is associated with lower total costs compared to placebo in VTE patients who had completed 6 to 12 months of VTE treatment.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.002 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".