Survival of Metastatic Urothelial Carcinoma of Urinary Bladder According to Number and Location of Visceral Metastases
Bibliographic record
Abstract
OBJECTIVE: To test the association between number as well as locations of organ-specific metastatic sites and overall survival (OS) in systhemic-therapy exposed metastatic urothelial carcinoma of urinary bladder (mUCUB) patients. METHODS: Within Surveillance, Epidemiology and End Results database (2010-2020), all systhemic therapy-exposed mUCUB patients were identified. Kaplan-Meier and multivariable Cox regression (CRM) models first addressed OS in patients according to number of metastatic organ-locations: solitary versus 2 versus 3 or more. Subsequently, separate analyses stratified according to location type were completed in patients with solitary metastatic organ-location as well as in patients with 2 metastatic organ-locations. RESULTS: Of 1,310 mUCUB, 1,069 (82%) harbored solitary metastatic organ-location versus 193 (15%) harbored 2 separate metastatic organ-locations versus 48 (3%) harbored 3 or more metastatic organ-locations. Median OS decreased with increasing number of metastatic organ-locations (solitary vs. 2 vs. 3 or more, P < .0001). In multivariable CRM, relative to solitary metastatic organ-location, 2 (HR: 1.57, 95 Confidence interval [CI], 1.33-1.85) as well as 3 or more (HR: 1.69, 95% CI, 1.23-2.31) metastatic organ-locations independently predicted higher overall mortality (OM) (P = .001). In patients with solitary metastatic organ-location, brain metastases independently predicted higher OM (HR 1.67; 95% CI, 1.05-2.67; P = .03) than other locations. In patients with 2 metastatic organ-locations, no differences in OM were recorded according to organ type location. CONCLUSION: In systemic therapy exposed mUCUB, number of metastatic organ-locations (solitary vs. 2 vs. 3 or more), independently predicted increasingly worse prognosis. In patients with solitary metastatic organ-location, brain purported worse prognosis than others.
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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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 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) | 0.000 | 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".