Cost-Effectiveness of Brentuximab Vedotin Versus Physician’s Choice of Methotrexate or Bexarotene for the Treatment of Cutaneous T-cell Lymphoma in Canada
Bibliographic record
Abstract
INTRODUCTION: Brentuximab vedotin versus physician's choice of methotrexate (MTX) or bexarotene (BEX) significantly improved progression-free survival (PFS) (median PFS, 16.7 vs. 3.5 months) and delayed time to subsequent treatment (8.4 vs. 3.7 months), with similar overall survival in patients with CD30-expressing mycosis fungoides (MF) or primary cutaneous anaplastic large cell lymphoma (pcALCL), two types of cutaneous T-cell lymphomas. We assessed the cost-effectiveness of brentuximab vedotin versus MTX or BEX from a Canadian healthcare payer perspective in the indicated population. METHODS: A 5-state partitioned survival model [pre-progression, non-stem cell transplant (SCT) post-progression, SCT, SCT relapse, death] with a weekly cycle length and 45-year lifetime horizon has been developed. Health-state occupancies, utility estimates, and treatment duration were informed by ALCANZA. Other inputs and costs came from the literature or clinician experts. Scenario analyses varied key parameters and tested assumptions. RESULTS: Brentuximab vedotin versus MTX or BEX was cost-effective; the incremental cost-effectiveness ratio was CAN$43,790 per quality-adjusted life year (QALY) gained. Brentuximab vedotin was more effective (incremental life years: 0.15; QALYs: 0.25) and total treatment costs were slightly higher (incremental costs: $11,105) than MTX or BEX. Key model drivers included end-stage care duration, SCT eligibility, and brentuximab vedotin retreatment rates. CONCLUSION: Brentuximab vedotin compared with MTX or BEX was cost-effective for CD30-expressing MF and pcALCL. Brentuximab vedotin's higher drug costs versus MTX or BEX were offset by decreased post-progression and end-stage management costs, and showed a 0.25 QALY gain versus MTX or BEX, and increased the proportion of patients eligible for potentially curative SCT.
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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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| 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".