Cost-effectiveness of docetaxel in high-volume hormone-sensitive metastatic prostate cancer
Bibliographic record
Abstract
INTRODUCTION: Three pivotal trials have considered the addition of docetaxel (D) chemotherapy to conventional androgen-deprivation therapy (ADT) for the treatment of metastatic hormone- sensitive prostate cancer (HSPC). While an initial small trial was inconclusive, two larger trials demonstrated significant clinical benefit, including pronounced survival benefits (added 17 months) among patients with high-volume metastatic disease. Given the evolving clinical evidence, the cost-effectiveness of this approach warrants exploration. METHODS: The cost-effectiveness of six cycles of ADT+D compared to ADT alone to treat patients with high-volume metastatic HSPC was assessed from a Canadian public payer perspective. We included three health states: HSPC, metastatic castration-resistant prostate cancer (CRPC), and death. Survival data were obtained from the CHAARTED trial, which reported outcomes specifically for high-volume disease. We used Ontario costs data and utilities from the literature. RESULTS: In the base case analysis, ADT+D cost an additional $25 757 and produced an extra 1.06 quality-adjusted life years (QALYs), resulting in an incremental cost-effectiveness ratio (ICER) of $24 226/QALY gained. Results from one-way sensitivity analysis across wide ranges of estimates and a range of scenarios, including an alternate model structure, produced ICERs below $35 000/QALY gained in all cases. CONCLUSIONS: The use of D with ADT in high-volume metastatic HSPC appears to be an economically attractive treatment approach. The findings were consistent with other studies and robust in sensitivity analysis across a variety of scenarios.
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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 | 0.003 | 0.011 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.002 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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".