Short‐ and long‐term survival has improved after radical cystectomy for bladder cancer in Québec during the years 2000‐2015
Bibliographic record
Abstract
BACKGROUND AND OBJECTIVES: We evaluated the short- and long-term outcome in bladder cancer (BC) patients treated with radical cystectomy (RC) in Québec (Canada). METHODS: Data were collected from provincial registries on all BC patients who underwent RC in Québec province in 2000-2015. Outcomes were hospitalization rates and survival. Survival analyses were conducted using log-rank tests and Cox proportional hazards models. RESULTS: In total, 4450 patients were included in our analysis. RC was increasingly conducted by higher-volume surgeons in larger, higher-volume, academic hospitals. Comparing patients treated in 2010-2015 to 2000-2009, recently treated patients had shorter postoperative hospital stays (absolute difference, 0.9 days, P < 0.001) but also a higher readmission rate (25.0% vs 21.1% in the 30 days following discharge, P = 0.003). Overall (5-year rates 50.9% vs 42.7%, P < 0.001) and BC-specific survival (61.3% vs 55.5%, P < 0.001) had significantly improved. In multivariable analyses, overall survival was significantly better in recently treated patients (hazard ratio [HR], 0.66; 95% confidence interval [CI], 0.60-0.73), younger patients (HR, 1.16; 95% CI, 1.14-1.19), patients residing closer to the hospital (HR, 1.03; 95% CI, 1.01-1.06), and patients treated by high-volume surgeons (HR, 0.88; 95% CI, 0.82-0.94). CONCLUSIONS: Survival in BC patients after RC has improved in recent years. Other predictors for survival are younger age, shorter distance between patients' residences and hospitals, and higher surgeon's RC loads.
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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 | 0.000 |
| 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) | 0.001 | 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".