Perioperative complications and oncological outcomes following radical cystectomy among different racial groups: A long-term, single-center study
Bibliographic record
Abstract
INTRODUCTION: Current literature on perioperative and oncological outcomes following radical cystectomy among different racial groups is limited, especially among Hispanics and Asians. The objective of this study was to assess the impact of racial differences on perioperative and oncological outcomes in a large cohort of bladder cancer patients who underwent radical cystectomy. METHODS: We retrospectively reviewed the records of 3293 patients who underwent radical cystectomy with curative intent at our institution between 1971 and 2017. Based on race, patients were categorized as Hispanic (n=190), Asian (n=145), African American (n=67), and Caucasian (n=2891). Baseline characteristics, pericystectomy complications, and oncological outcomes, including recurrence-free and overall survival, were compared between the racial groups. RESULTS: Mean patient age was 68±10.6 years. Median followup was 10.28 years. Body masss index and American Society of Anesthesiologists scores were significantly higher in Hispanic and African American population, and smoking incidence was lower in Asian patients. Hispanics presented with significantly higher clinical stage and longer time interval from diagnosis to treatment (mean 85.5 vs. 75.4 days in Caucasians, p<0.001). Overall 90-day complication and readmission rates were higher in Hispanics (41.06% and 18.95%, respectively). Oncological outcomes, however, were comparable between different race groups. In multivariate analysis, pathological nodal status and lymphovascular invasion were independent predictors of oncological outcomes, but race was not. CONCLUSIONS: In this very large, ethnically diverse patient cohort who underwent radical cystectomy with curative intent, pericystectomy complications were more common in Hispanics; however, race was not an independent predictor of long-term oncological outcome.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.002 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| 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".