Renal and functional outcomes following cystectomy and neobladder reconstruction
Bibliographic record
Abstract
BACKGROUND: Orthotopic reconstruction following cystectomy has evolved in an attempt to restore anatomy and function to as close as possible to the preoperative state. We review the renal and functional outcomes of patients who underwent cystectomy and neobladder reconstruction at our institution. METHODS: Between December 2003 and October 2007, 31 patients underwent cystectomy with Studer neobladder reconstruction at the Ottawa Hospital, Ottawa, Ontario, Canada. Follow-up data were obtained regarding renal function (serum creatinine, μmol/L), continence, urinary flow rates and post-void residual (PVR) at 3, 6 and 12 months after surgery. Change in creatinine from preoperative baseline was calculated and analyzed by student t-test to determine if there was a significant rise in creatinine. RESULTS: There was a statistically significant increase in creatinine from preoperative baseline, with an average increase of 17.3 μmol/L, 21.8 μmol/L and 26.3 μmol/L at 3, 6 and 12 months, respectively. Six patients developed hydronephrosis. Excluding patients with hydronephrosis, there continued to be a statistically significant rise in creatinine with an average increase of 11.9 μmol/L, 14.7 μmol/L and 19.4 μmol/L at 3, 6 and 12 months, respectively. At 1 year, daytime continence was achieved by 89% of patients; 70% were continent at night. INTERPRETATION: Orthotopic neobladders have excellent functional outcomes with low rates of incontinence, which improved throughout follow-up. A significant proportion of patients developed hydronephrosis, highlighting the need for close follow-up to prevent reversible renal deterioration. Creatinine increased during follow-up irrespective of the development of hydronephrosis, but the clinical significance is unknown.
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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 | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 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".