Cost‐effectiveness analysis of immediate radical cystectomy versus intravesical <i>Bacillus</i> Calmette‐Guerin therapy for high‐risk, high‐grade (T1G3) bladder cancer
Bibliographic record
Abstract
BACKGROUND: Although both radical cystectomy and intravesical immunotherapy are initial treatment options for high-risk, T1, grade 3 (T1G3) bladder cancer, controversy regarding the optimal strategy persists. Because bladder cancer is the most expensive malignancy to treat per patient, decisions regarding the optimal treatment strategy should consider costs. METHODS: A Markov Monte-Carlo cost-effectiveness model was created to simulate the outcomes of a cohort of patients with incident, high-risk, T1G3 bladder cancer. Treatment options included immediate cystectomy and conservative therapy with intravesical Bacillus Calmette-Guerin (BCG). The base case was a man aged 60 years. Parameter uncertainty was assessed with probabilistic sensitivity analyses. Scenario analyses were used to explore the 2 strategies among patients stratified by age and comorbidity. RESULTS: The quality-adjusted survival with immediate cystectomy and BCG therapy was 9.46 quality-adjusted life years (QALYs) and 9.39 QALYs, respectively. The corresponding mean per-patient discounted lifetime costs (in 2005 Canadian dollars) were $37,600 and $42,400, respectively. At a willingness-to-pay threshold of $50,000 per QALY, the probability that immediate cystectomy was cost-effective was 67%. Immediate cystectomy was the dominant (more effective and less expensive) therapy for patients aged <60 years, whereas BCG therapy was dominant for patients aged >75 years. With increasing comorbidity, BCG therapy was dominant at lower age thresholds. CONCLUSIONS: Compared with BCG therapy, immediate radical cystectomy for average patients with high-risk, T1G3 bladder cancer yielded better health outcomes and lower costs. Tailoring therapy based on patient age and comorbidity may increase survival while yielding significant cost-savings for the healthcare system.
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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) | 0.001 | 0.001 |
| Bibliometrics | 0.000 | 0.001 |
| 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) | 0.001 | 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".