Survival after trimodal therapy in octogenarians with organ‐confined urothelial bladder cancer
Bibliographic record
Abstract
OBJECTIVES: It is not known whether cancer-specific mortality (CSM) differences distinguish radical cystectomy (RC) from trimodal therapy (TMT) in octogenarians harbouring organ-confined (T2N0M0) urothelial cancer of the urinary bladder (UCUB). METHODS: Within the Surveillance, Epidemiology, and End Results database (2004-2021), CSM and other-cause mortality (OCM) rates were computed in octogenarian patients with organ-confined UCUB undergoing either TMT or RC. Smoothed cumulative incidence plots depicted 5-year CSM and OCM rates according to RC vs TMT. Competing risks regression (CRR) models were fitted, adjusting for age, gender, and race/ethnicity. Nearest-neighbour 1:1 propensity-score matching (PSM) for age and gender was also applied. Sensitivity analyses were additionally performed, focusing on White patients. RESULTS: Of 2335 octogenarian patients with T2N0M0 UCUB, 1562 (66.3%) received TMT and 793 (33.7%) received RC. Of those, 2082 (88.4%) were White. TMT rates increased from 53.5% in 2004 to 82.2% in 2021 (P < 0.001). The 5-year CSM rate was 50.1% for TMT vs 31.1% for RC. After multivariable CRR, TMT independently predicted 1.7-fold higher CSM (P < 0.001). After additional PSM, TMT also independently predicted 1.7-fold higher CSM (P < 0.001). In sensitivity analyses exclusively focusing on White patients, almost identical results were recorded. CONCLUSION: Rates of TMT have nearly doubled in octogenarian patients with organ-confined UCUB in recent years; however, CSM rates after TMT are also nearly twice as high as those observed after RC. It is crucial to communicate these observations.
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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 | 0.001 |
| 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".