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 distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.003 | 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 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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 teacher head, 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".