Tumour stage on re-staging transurethral resection predicts recurrence and progression-free survival of patients with high-risk non-muscle invasive bladder cancer
Bibliographic record
Abstract
INTRODUCTION: To identify patients who should be considered for early radical cystectomy, we evaluated the clinical and pathological variables affecting the outcome of patients with high-risk non-muscle invasive bladder cancer (NMIBC) who underwent re-staging transurethral resection (re-TUR). METHODS: We reviewed the clinical data of 453 patients treated for urothelial carcinoma between 2006 and 2010. In total, 94 patients underwent re-TUR after their initial TUR. Of these, 72 were not upstaged to muscle invasive disease and were therefore included in our study. RESULTS: On re-TUR, 31 patients had no residual tumour (T0) and 41 patients had residual NMIBC. A statistically significant difference was noted between patients with pT0 and patients with residual NMIBC on re-TUR in regard to tumour recurrence and progression (39% vs. 83%, p < 0.001) (6% vs. 34%, p = 0.005), respectively. On multivariate analysis, tumour stage on re-TUR and the regimen of intravesical bacillus Calmette-Guérin (BCG) therapy (induction vs. maintenance) remained independent predicting factors for recurrence-free survival (RFS) (p = 0.001, hazard ratio [HR]: 1.77), (p < 0.001 HR: 0.16) and progression-free survival (PFS) (p = 0.014, HR: 2.11), (p = 0.008, HR: 0.097), respectively. CONCLUSIONS: The presence of T0 on re-TUR is associated with better RFS and PFS and could be a predictive factor for candidates for conservative management. Patients with persistent NMIBC on re-TUR require close follow-up and, in some cases, could be considered for early cystectomy. Maintenance intravesical BCG therapy can improve RFS and PFS in patients with high-risk NMIBC. This study is limited by its retrospective nature and the relatively small number of patients in the cohort.
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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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 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 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 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".