Upper Urinary Tract Urothelial Carcinoma Diagnosis Effect on Life Expectancy Relative to Population-Based Controls: A Retrospective Analysis
Bibliographic record
Abstract
Introduction: The aim of the study was to examine 5-year overall survival (OS) of upper urinary tract urothelial carcinoma (UTUC) patients versus age- and sex-matched population-based controls. METHODS: Within Surveillance, Epidemiology, and End Results database (2004-2020), we identified newly diagnosed (2004-2015) UTUC patients. Relying on Social Security Administration Life Tables (2004-2020), age- and sex- matched population-based controls were simulated (Monte Carlo simulation). RESULTS: Of 10,140 UTUC patients, 3,984 (39%) exhibited localized, 4,904 (49%) locally advanced, and 1,252 (12%) metastatic stages. At 5 years of follow-up, the OS rate was 41 versus 78% (Δ 37%) in UTUC patients versus controls. According to stage, OS difference was greatest in metastatic stage (4 vs. 75%; Δ 71%), followed by locally advanced (36 vs. 78%; Δ 42%) and localized stages (58 vs. 78%; Δ 20%). At 5 years of follow-up, the CSM rate was 44%, and the OCM rate was 16%. According to stage, CSM and OCM rates were 88 and 7% in metastatic, 49 and 15% in locally advanced, and 22 and 19% in localized stage UTUC patients. CONCLUSION: UTUC patients may experience worse OS compared to population-based controls. The most pronounced differences in the 5-year OS were recorded in metastatic and locally advanced stages, suggesting a potentially substantial impact of UTUC on patients' life expectancy. .
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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 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 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".