Centralization of radical cystectomy for bladder cancer in a universal healthcare system: Early results from a Canadian academic center.
Bibliographic record
Abstract
516 Background: Radical cystectomy for bladder cancer is a complex surgical oncology procedure. Centralization of this procedure to high volume, fellowship-trained surgeons may improve clinical outcomes. Our objective was to compare outcomes of radical cystectomy before and after centralization of care. Methods: A retrospective analysis of data from the University of Alberta Radical Cystectomy Database was performed. Eligible subjects were those with histologically proven urothelial carcinoma of the bladder (cTanyN1-3M0) undergoing curative intent surgery. Patients were classified into pre-centralization era (1994-2007; N = 523) and post-centralization era (2013-present; N = 134) cohorts for analyses. Pre-centralization era patients were treated by 1 of 11 urologic surgeons at 2 academic teaching hospitals. Post-centralization era patients were treated by 1 of 2 fellowship-trained urologic oncologists at 1 academic teaching hospital. Outcomes were overall survival, 90-day mortality rate, positive surgical margin (R1) resection rate, total number of lymph nodes evaluated, and 90-day blood product transfusion rate. The Kaplan-Meier method and multivariable regression analyses were used to analyze survival outcomes. Statistical tests were two-sided (p≤0.05). Results: The median follow-up duration in the pre- and post-centralization era was 33 months and 16 months, respectively. The predicted 2-year overall survival rate was 62% in the pre-centralization era and 84% in the post-centralization era (Log rank P = 0.0007; multivariable HR 0.40, 95% CI 0.24 to 0.68, P < 0.0001). Treatment in the post-centralization era was associated with lower 90-day mortality (6.3% versus 1.5%, multivariable OR 0.23, 95% CI 0.06 to 0.99, P = 0.049), R1 resection (13.0% versus 1.5%; multivariable OR 0.07, 95% CI 0.01 to 0.51, P = 0.009), and 90-day blood product transfusion (59% versus 6%, P < 0.0001) as well as higher total number of lymph nodes evaluated (7 versus 30 lymph nodes, P < 0.0001). Conclusions: Surgical treatment in the post-centralization era was associated with superior survival, cancer control, and perioperative outcomes.
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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 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.004 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 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".