PD31-07 DIFFERENCES IN LYMPH NODE COUNT AT RADICAL CYSTECTOMY WITH A STANDARDIZED SURGICAL TEMPLATE DO NOT INFLUENCE LONG-TERM SURVIVAL FOR BLADDER CANCER
Bibliographic record
Abstract
long-term outcomes in bladder cancer (BC) patients who had post irradiation sRC across Quebec.METHODS: Within the RAMQ (Quebec health insurance medical services database) and ISQ (vital status database), we conducted a retrospective cohort study using procedure codes to identify patients who underwent RC for bladder cancer in Quebec over 10 years (2000)(2001)(2002)(2003)(2004)(2005)(2006)(2007)(2008)(2009), as well as to identify patients who received external beam radiotherapy (EBRT) for BC in the 2 years preceding RC.The outcomes analyzed included post-operative complications, mortality rates at 30, 60 and 90 days and overall survival.RESULTS: The preliminary RC cohort was formed of 2988 patients.Among them, 103 (3.4%) patients had sRC performed in 25 hospital facilities across Quebec.The majority (72.8%) of sRCs were performed in academic centers.Males formed 69.9% of the cohort and 48.5% of patients were below 65 years.Among these cases, 30.1% had at least one significant post-operative complication (Grade III-IV on modified Clavien grading system) and 23.3% had more than one complication.Urinary tract complications ranked first (17.4%)followed by gastrointestinal tract complications (7.7%).The cohort post-operative mortality rates at 30, 60 and 90 days were 2.9%, 5.8% and 6.8% respectively.The mean overall survival of the cohort was 4.7 years with a 5-years survival rate of 46% and a death rate of 48.6% over the entire follow-up period.One-to-one matched analysis adjusted for age and sex with the original RC cohort did not show statistically significant survival difference between sRC and RC patients.(P ¼ 0.15) CONCLUSIONS: Our study results suggest that sRC after EBRT for bladder cancer can be performed with acceptable morbidity, post-operative mortality and overall survival rates.Our study may also suggest that sRC for bladder cancer may not have worse oncologic outcomes as compared to RC.
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.004 | 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".