Concurrent upper and lower urinary tract robotic surgery: A case series
Bibliographic record
Abstract
The da Vinci Surgical System (Intuitive Surgical Inc.) continues to develop as a platform in urological surgery. Synchronous upper and lower urinary tract tumours requiring extirpative surgery are not uncommon. We report the first case robotic series of combined complex upper and lower urinary tract surgery. Six high-risk anaesthetic patients with a median age of 71 years and apparent synchronous upper and lower urinary tract pathologies underwent concurrent robotic surgery. Five underwent robotic nephroureterectomy and robotic-assisted radical cystectomy (RARC); 1 had combined robotic nephroureterectomy and robotic-assisted radical prostatectomy (RALP). The mean length of stay was 10 days, with an average blood loss of 416.7 mL. The median console time for nephroureterectomy, RALP and RARC was 90, 90 and 210 minutes, respectively. Four patients had intra-corporeal ileal conduit urinary diversion. There were no Clavien grade 3, 4, or 5 complications. In all patients, 30- and 90-day mortality was nil. Margins were clear in the entire cohort. We concluded that combined upper and lower urinary tract robotic surgery is safe and technically feasible with acceptable complications and oncological outcomes.
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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 | 0.004 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.002 |
| Bibliometrics | 0.003 | 0.002 |
| Science and technology studies | 0.003 | 0.002 |
| Scholarly communication | 0.002 | 0.002 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.003 | 0.002 |
| Insufficient payload (model declined to judge) | 0.004 | 0.001 |
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".