Cost-effectiveness of dutasteride-tamsulosin combination therapy for the treatment of symptomatic benign prostatic hyperplasia: A Canadian model based on the CombAT trial
Bibliographic record
Abstract
Introduction: Benign prostatic hyperplasia (BPH) is common in men 50 years old and older. The main treatment options are alpha-blockers (such as tamsulosin), which reduce symptoms, and 5-alpha reductase inhibitors (such as dutasteride), which reduce symptoms and slow disease progression. Clinical studies have demonstrated that dutasteride-tamsulosin combination therapy is more effective than either monotherapy to treat symptomatic BPH. We studied the cost-effectiveness in Canada of the dutasteride (0.5 mg/day) and tamsulosin (0.4 mg/day) combination compared with tamsulosin or dutasteride monotherapy.Methods: A Markov model was developed which follows a cohort of male BPH patients ≥50 with moderate to severe lower urinary tract symptoms (LUTS). The model estimates costs to the Canadian health care system and outcomes (in terms of quality adjusted life years [QALYs]) at 10 years and over a patient’s lifetime. The dutasteride-tamsulosin combination was compared to each of tamsulosin monotherapy and dutasteride monotherapy.Results: Compared with tamsulosin, the combination was more costly and produced better patient outcomes. Over a lifetime, the incremental cost-effectiveness ratio was CAN$25 437 per QALY gained. At a willingness to pay CAN$50 000 per QALY, the probability of combination therapy being cost-effective was 99.6%. Compared with dutasteride, the combination therapy was the dominant option from year 2, offering improved patient outcomes at lower cost. The probability that combination therapy is more cost-effective than dutasteride was 99.8%.Conclusion: Combination therapy offers important clinical benefits for patients with symptomatic BPH, and there is a high probability that it is cost-effective in the Canadian health care system relative to either monotherapy.
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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 | 0.001 | 0.001 |
| 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".