Clinical benefits of tubeless umbilical cutaneous ureterostomy
Bibliographic record
Abstract
INTRODUCTION: We assess a novel technique of tubeless bilateral cutaneous ureterostomy, with a single umbilical stoma, for bladder cancer patients with short ureters after cystectomy. The benefit of cutaneous ureterostomy is equal to other incontinent urinary diversions, when the tubeless procedure is successfully achieved. This simple technique makes it easy to monitor the upper urinary tract (UUT) and is beneficial to patients with a high risk of UUT recurrence. METHODS: This old and new surgical technique was used to perform total cystectomy and urinary diversion on three patients with bladder cancer at a high risk of UUT recurrence. RESULTS: Two men and one woman (mean age: 73 years) underwent this surgery and the mean follow-up period was 8.3 years. The surgical approaches were laparotomy (n = 2) and laparoscopy (n = 1). One case developed para-stomal erosion, whereas another developed ureteral stenosis requiring catheter reinsertion. Although postoperative hydronephrosis was observed in all cases, the mean preoperative and postoperative serum creatinine levels were 0.70 and 0.76, respectively. UUT recurrence was not observed during the follow-up period. CONCLUSION: This tubeless umbilical cutaneous ureterostomy procedure greatly improves the outcome of urinary diversion for cancer patients with short ureters at a high risk of UUT recurrence. The benefits are equivalent to other urinary diversions when the tubeless procedure is successfully achieved.
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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 | 0.000 | 0.001 |
| 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) | 0.002 | 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".