MP55-18 THE EVOLUTION OF URETHRAL STRICTURE TREATMENT OVER 15 YEARS: A SINGLE-CENTRE, SINGLE-SURGEON 1319 URETHROPLASTY ANALYSIS
Bibliographic record
Abstract
commonly bulbar (59.7%) followed by penile (19.9%) and posterior (13.7%).The most common stricture etiology was idiopathic (40.3%), iatrogenic (14.0%), trauma (13.2%) or lichen sclerosus (12.3%).Patients underwent a variety of urethroplasty techniques, including buccal mucosa graft onlay (42.6%), anastomotic (30.0%) or staged (11.2%) reconstruction.92.0% of patients were stricture free on follow-up cystoscopy and 80.0% of patients reported being satisfied with the results of surgery while 7.3% of patients were unsatisfied.Voiding function was globally improved after urethroplasty including urinary quality of life (4.7 vs. 1.6; p<0.0001),IPSS (19.3 vs. 6.0;p<0.0001), post-void dribbling (2.7 vs. 2.5; p[0.04) and sitting to void (2.4 vs. 1.9; p<0.0001).Additionally, genitourinary pain scores improved postoperatively (2.2 vs. 1.6; p<0.0001).Overall, erectile function remained unchanged (17.7 vs. 17.2;p[0.46) but 12.0% of patients reported new onset erectile dysfunction.The incidence of ejaculatory function remained unchanged (p[0.13)but 7.1% of patients reported worsening of ejaculatory function postoperatively.The majority of patients reported minimal change in penile length or curvature but 6.7% and 3.1% of patients complained of bothersome loss of penile length or curvature respectively.CONCLUSIONS: Urethroplasty globally improves voiding function and genitourinary pain associated with urethral stricture.While sexual function is preserved for the majority of patients, a small proportion of patients describe new onset erectile dysfunction, penile shortening or curvature and should be counselled accordingly.
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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) | 0.001 | 0.002 |
| Bibliometrics | 0.002 | 0.003 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 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".