Outcomes of pT0N0 at radical cystectomy: The Canadian Bladder Cancer Network experience
Bibliographic record
Abstract
INTRODUCTION: : Radical cystectomy is the standard treatment for muscle invasive bladder cancer. We assessed clinical outcomes in patients found to have no evidence of disease (i.e., pT0N0) following radical cystectomy. METHODS: : We collected and pooled a database of 2287 patients who underwent radical cystectomy between 1993 and 2008 in eight centres across Canada. Of this number, 135 patients were found to have pT0N0 bladder cancer at the time of cystectomy. Survival data and prognostic variables were analyzed using Kaplan-Meier method and Cox proportional hazard regression analysis. RESULTS: : Median patient age was 66 years with a mean follow-up of 42 months. Clinical stage distribution was Tis 8.9%, Ta 1.5%, T1 20.7%, T2 45.2%, T3 5.2%, and T4 5.2%. The five-year recurrence-free survival (RFS), disease-specific survival (DSS) and overall survival (OS) were 83%, 96%, and 88%, respectively. The 10-year RFS, DSS and OS were 66%, 92%, and 70%, respectively. On Cox proportional regression analysis, no variables were associated with disease recurrence and only patient age was associated with overall survival. INTERPRETATION: : Patients with pT0N0 pathology after cystectomy have excellent outcomes with high five- and 10-year RFS, DSS and OS. However, there is still a risk of tumour recurrence in this patient population and thus postoperative surveillance is still required.
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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 | 0.000 |
| Bibliometrics | 0.001 | 0.003 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.001 |
| 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 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".