Stage and cancer‐specific mortality differ within specific Asian ethnic groups for upper tract urothelial carcinoma: North American population‐based study
Bibliographic record
Abstract
OBJECTIVES: To examine the effect of specific Asian ethnic subgroups on stage at presentation and cancer-specific mortality in non-metastatic upper tract urothelial carcinoma among North American upper tract urothelial carcinoma Asian patients treated with radical nephroureterectomy. METHODS: We relied on the Surveillance, Epidemiology and End Results database, from 2004 to 2016. Kaplan-Meier plots and multivariable Cox regression models predicting cancer-specific mortality were used. RESULTS: (25.0% and 18.5%, respectively), relative to other Asian ethnic subgroups. In Kaplan-Meier plots, Vietnamese patients showed the highest cancer-specific mortality rate. In multivariable models, Vietnamese ethnicity also independently predicted higher cancer-specific mortality (hazard ratio 2.15, P = 0.02 and hazard ratio 1.96, P = 0.03), relative to Japanese and Chinese patients. All other Asian ethnic subgroups showed similar cancer-specific mortality patterns. CONCLUSION: Vietnamese and Chinese patients are at a stage disadvantage at upper tract urothelial carcinoma diagnosis, relative to all other Asian ethnicities. After adjustment for stage, only Vietnamese patients showed a survival disadvantage relative to all other Asian ethnic subgroups. As a result, it appears that Vietnamese patients not only present at a higher upper tract urothelial carcinoma stage, but additionally appear to harbor upper tract urothelial carcinoma that progresses at a faster rate than in other Asian ethnic subgroups.
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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) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 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".