Endoscopic ablation versus nephroureterectomy in localized low-grade upper tract urothelial carcinoma: a comparison in terms of cancer-specific and other-cause mortality
Bibliographic record
Abstract
PURPOSE: Guidelines recommend endoscopic ablation in select upper urinary tract urothelial carcinoma (UTUC) patients. To test for differences in cancer-specific mortality (CSM) and other-cause mortality (OCM) in localized non-invasive low-grade UTUC with tumor size < 2 cm treated with endoscopic ablation vs. radical nephroureterectomy. METHODS: Within Surveillance, Epidemiology, and End Results database (2000-2020), we identified UTUC patients treated with either endoscopic ablation or radical nephroureterectomy. After propensity score matching (ratio 1:1), cumulative incidence plots, and competing risks regression models addressed CSM and OCM. RESULTS: Of 249 included UTUC patients, 66 (27%) were treated with endoscopic ablation vs. 183 (73%) with radical nephroureterectomy. Over the study period, endoscopic ablation use increased from 10 to 45% (p = 0.01). After 1:1 propensity score matching, 66 of 66 (100%) endoscopic ablation and 66 of 183 (36%) radical nephroureterectomy patients were included. Ten-year CSM rates were 15.7% after endoscopic ablation vs. 13.9% after radical nephroureterectomy (p = 0.9). Ten-year OCM rates were 46.3% after endoscopic ablation vs. 57.9% after radical nephroureterectomy (p = 0.5). In multivariable competing risks regression models, CSM (hazard ratio 1.10; p = 0.9) and OCM (hazard ratio 0.83; p = 0.5) did not differ according to use of endoscopic ablation vs. radical nephroureterectomy. CONCLUSION: Endoscopic ablation of localized non-invasive low-grade UTUC with tumor size < 2 cm results in absence of cancer-control outcome differences relative to radical nephroureterectomy. This observation validates the current guideline recommendations.
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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 | 0.001 | 0.000 |
| 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".