Economic Evaluation of Brentuximab Vedotin for Persistent Hodgkin Lymphoma
Bibliographic record
Abstract
BACKGROUND: We conducted a cost-effectiveness analysis of brentuximab vedotin for the treatment of relapsed and refractory Hodgkin lymphoma (hl) in the post-autologous stem-cell transplantation (asct) failure period, from the perspective of the Canadian health care payer. METHODS: We developed a decision-analytic model to simulate lifetime costs and benefits of brentuximab vedotin compared with best supportive care for the treatment of patients with hl after failure of asct. Administrative data from Ontario were used to set the model parameters. RESULTS: In the base case, treatment with brentuximab vedotin resulted in incremental quality-adjusted life-years (qalys) of 0.544 and an incremental cost of $89,366 per patient, corresponding to an incremental cost-effectiveness ratio (icer) of $164,248 per qaly gained. The icer was sensitive to the cost of brentuximab vedotin, the hazard ratio used to assess the efficacy of brentuximab vedotin treatment, and health state utilities. CONCLUSIONS: In light of the available information, brentuximab vedotin has an icer exceeding $100,000 per qaly gained, which is a level often classified as having "weak evidence for adoption and appropriate utilization" in Canada. However, it is worth noting that provincial cancer agencies take into account not only the costs and associated icer, but also other factors such as a lack of alternative treatment options and the clinical benefits of expensive cancer drugs. Pricing arrangements should be negotiated, and risk-sharing agreements or patient access schemes should be explored.
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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 | 0.006 | 0.017 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.002 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 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".