pT3 Substaging is a Prognostic Indicator for Lymph Node Negative Urothelial Carcinoma of the Bladder
Bibliographic record
Abstract
PURPOSE: We assessed the prognostic value of pT3 bladder urothelial carcinoma substaging. MATERIALS AND METHODS: We reviewed the records of 2,605 patients treated with radical cystectomy for bladder urothelial carcinoma at 6 international centers, of whom 808 (31.0%) had pT3 disease. No patient received systemic chemotherapy or radiotherapy preoperatively. Median followup was 45 months in survivors at last followup. RESULTS: Median patient age was 68 years. Stage was pT3a in 310 patients (38.4%) and pT3b in 498 (61.6%). Of the patients 352 (43.6%) had metastasis to regional lymph nodes. Five-year recurrence-free (43.8% and 41.4%) and cancer specific (48.6% and 46.8%) survival estimates were similar in pT3a and pT3b cases (p = 0.277 and 0.625, respectively). Conversely in patients with pathologically negative lymph nodes pT3b substaging was associated with worse 5-year recurrence-free (60.7% vs 47.9%) and cancer specific (64.4% vs 55.0%) survival (p = 0.020 vs 0.048). CONCLUSIONS: Macroscopic perivesical fat extension (pT3b) is associated with a worse outcome than pT3a disease in lymph node negative cases of bladder urothelial carcinoma. Together with other features pT3 substaging may help identify patients with pT3 who could benefit from adjuvant chemotherapy.
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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 | 0.000 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| 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 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".