Functional Follow-Up After Cystectomy and Urinary Diversion: A Narrative Review
Bibliographic record
Abstract
Abstract Introduction: Follow-up after urinary diversion aims to detect functional complications to prevent harm and improve quality of life. Methods: We conducted a literature search and reviewed guidelines and institutional follow-up protocols. Results: We included 14 studies providing data of 3282 patients. Functional complications can be seen in up to 90% of all patients within 15 years after urinary diversion and mainly include impairment of urinary or sexual function as well as renal/metabolic disturbances, but only limited evidence supporting any functional follow-up recommendation was identified. Current guideline recommendation should be rephrased to ensure routine implementation of functional follow-up investigation. Discussion: Future research is required to assess whether, which, and how follow-up protocols after cystectomy affect functional results to inform optimal surveillance procedures after treatment. Patient Summary: In this review of recommended follow-up protocols after cystectomy, we observed different recommendations and discuss future research areas.
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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 | 0.003 | 0.014 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.002 | 0.002 |
| Bibliometrics | 0.004 | 0.005 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.002 | 0.002 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.004 | 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".