Single staff cystectomy in a low-volume center: Oncological outcomes and complications
Bibliographic record
Abstract
INTRODUCTION: Radical cystectomy (RC) with bilateral pelvic lymph node dissection (PLND) is a complex surgical procedure, associated with substantial perioperative complications. Previous studies suggested reserving it to high-volume centers in order to improve oncological and perioperative outcomes. However, only limited data exist regarding low-volume centers with highly experienced surgeons. We aimed to assess oncological and perioperative outcomes after RC performed by experienced surgeons in the low-volume center of Luzerner Kantonsspital, Lucerne, CH. METHODS: We retrospectively analyzed the data of 158 patients who underwent RC and PLND performed between 2009 and 2019 at a single low-volume center by three experienced surgeons, each having performed at least 50 RCs. Complications were graded according to the 2004 modified Clavien-Dindo grading system. RESULTS: A total of 110 patients (70%) received an incontinent urinary diversion (ileal conduit or ureterocutaneostomy) and 48 patients (30%) received a continent urinary diversion (ileal orthotopic neobladder, ureterosigmoidostomy, or Mitrofanoff pouch). Median operating time was 419 minutes (interquartile range [IQR] 346-461). Overall, at RC specimen, 71.5% of patients had urothelial carcinoma, 12.6% squamous, 3.1% sarcomatoid, 1.2% glandular, and 0.6% small cell carcinoma. Median number of lymph nodes removed was 23 (IQR 16-29.5). Positive margins were found in eight patients (5.1%). Overall five-year survival rate was 52.4%. The complication rate was 56.3%: 143 complications were found in 89 patients, 36 (22.8%) with Clavien ≥3. The 30-day mortality rate was 2.5%. CONCLUSIONS: RC could be safely performed in a low-volume center by experienced surgeons with comparable outcomes to high-volume centers.
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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 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 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".