Cost Effectiveness of Subcutaneous Vedolizumab for Maintenance Treatment of Ulcerative Colitis in Canada
Bibliographic record
Abstract
BACKGROUND AND OBJECTIVES: Ulcerative colitis is highly prevalent in Canada and cost-effective ulcerative colitis therapies are warranted. Vedolizumab subcutaneous (SC) formulation was recently approved for ulcerative colitis maintenance therapy. We assessed vedolizumab SC cost effectiveness vs conventional and advanced therapeutics in patients with moderately to severely active ulcerative colitis from a Canadian public healthcare payer perspective. METHODS: A hybrid decision tree/Markov model was developed to evaluate vedolizumab SC costs, quality-adjusted life-years, and cost effectiveness vs conventional therapy, adalimumab SC, infliximab intravenous, golimumab SC, tofacitinib, ustekinumab SC, and vedolizumab intravenous. This model predicts the number of patients achieving clinical response and remission after treatment induction, and sustained benefit during maintenance treatment. To account for statistical uncertainties, the base-case analysis was conducted in a probabilistic manner. Scenario analyses examined the impact of previous treatment with anti-tumor necrosis factor agents, dose escalation, loss of efficacy, and treatment adherence. RESULTS: In the base-case analysis, conventional therapy was the most cost-effective therapeutic option in the overall population. Vedolizumab SC was cost effective and dominant compared with other advanced therapies (adalimumab, golimumab, infliximab, tofacitinib 5 mg, ustekinumab, and vedolizumab intravenous). The annual vedolizumab SC cost per patient was reduced vs ustekinumab SC, tofacitinib 5 mg, vedolizumab intravenous, and golimumab SC by $47,024, $3251, $2120, and $2004 (Canadian dollars), respectively, and exceeded that of infliximab, adalimumab, and conventional therapy by $582, $3293, and $41,024, respectively. Among the treatments, vedolizumab SC generated the highest quality-adjusted life-years overall (14.21), which translated into the best incremental cost per quality-adjusted life-years gained over conventional therapy in the overall population ($109,374) and in anti-tumor necrosis factor-naïve and anti-tumor necrosis factor-experienced patients ($41,658/$114,287). CONCLUSIONS: Conventional therapy offered the most cost-effective therapeutic option followed by vedolizumab SC. Based on a $50,000/quality-adjusted life-year threshold, vedolizumab was cost effective in anti-tumor necrosis factor-naïve patients but not the overall population also when compared to conventional therapy.
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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) | 0.000 | 0.000 |
| 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".