Cost-effectiveness of mirabegron compared to tolterodine ER 4 mg for overactive bladder in Canada
Bibliographic record
Abstract
INTRODUCTION: This analysis compared the cost-effectiveness of once-daily regimens of mirabegron 50 mg and generic tolterodine ER 4 mg in a hypothetical cohort of previously treated patients with overactive bladder (OAB) in Canada. METHODS: A Markov model was developed to represent different health states according to OAB symptoms (frequency, incontinence), presence/absence of adverse events (AEs; dry mouth, constipation, blurred vision), and treatment status (on-treatment, discontinue treatment, restart previous treatment). The time horizon used was one year, with monthly transitions between health states. The model was populated using data from a phase 3, placebo-controlled trial of mirabegron that included tolterodine as an active comparator (SCORPIO), as well as other published literature and expert opinion. Cost-effectiveness was calculated from Canadian public payer (based on Quebec list prices) and societal perspectives. RESULTS: The incremental one-year cost per patient for mirabegron over tolterodine was $182 CAD and $157 CAD from the payer and societal perspectives, respectively. The incremental quality-adjusted life year (QALY) gain for mirabegron was 0.0066 when using EQ-5D health-state utilities. Mirabegron was cost-effective compared with tolterodine, from both payer and societal perspectives, and remained cost-effective vs. tolterodine across the majority of sensitivity analyses. The model was based on limited clinical trial evidence supplemented with expert opinion and assumptions; a select number of OAB symptoms, AEs, and direct and indirect medical costs associated with OAB; and a timeframe of only one year. CONCLUSIONS: From the payer and societal perspectives, the health economic model indicates that in Canada, mirabegron is a cost-effective treatment strategy compared with tolterodine, leading to improved health outcomes (QALYs) at an acceptable incremental cost.
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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 | 0.001 | 0.006 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| 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) | 0.005 | 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".