MP03-06 POST-VOID DRIBBLING AFTER URETHROPLASTY: INCIDENCE AND ASSOCIATIONS
Bibliographic record
Abstract
You have accessJournal of UrologyTrauma/Reconstruction/Diversion: Urethral Reconstruction (including Stricture, Diverticulum) I (MP03)1 Sep 2021MP03-06 POST-VOID DRIBBLING AFTER URETHROPLASTY: INCIDENCE AND ASSOCIATIONS Jordan Bekkema, and Keith Rourke Jordan BekkemaJordan Bekkema More articles by this author , and Keith RourkeKeith Rourke More articles by this author View All Author Informationhttps://doi.org/10.1097/JU.0000000000001964.06AboutPDF ToolsAdd to favoritesDownload CitationsTrack CitationsPermissionsReprints ShareFacebookLinked InTwitterEmail Abstract INTRODUCTION AND OBJECTIVE: Post-void dribbling (PVD) is a potential consequence of urethroplasty. The incidence, cause and impact of this symptom remains unclear. Our objective is to examine the impact of urethroplasty on PVD and factors associated with de novo PVD. METHODS: From 2011-2018, patients were enrolled in a prospective single-center study assessing patient-reported outcomes after urethroplasty. PVD was assessed using a 5-point scale responding to, “After urinating, do you have post-urination dribbling or leakage of urine?” Answers included “Never” (1), “Occasionally” (2), “Sometimes” (3), “Most of the Time” (4), or “All of the Time” (5). Patients were assessed pre-operatively and 6 months post-operatively. Clinically significant PVD was considered a response of 3-5. Wilcoxon signed-rank test was used to compare pre- and post-operative incidence of PVD. Multivariate binary logistic regression was used to determine the association between de novo PVD and clinical factors. RESULTS: 384 patients completed pre- and post-operative questionnaires, mean age was 49.5 years, mean stricture length was 4.5cm. Stricture location was bulbar (59.4%), penile (19.5%), posterior (13.8%), and pan-urethral (7.3%). Stricture etiology included idiopathic (40.1%), iatrogenic (14.1%), traumatic (12.2%) or lichen sclerosus (12.5%). Urethroplasty techniques included buccal mucosa graft onlay (51.8%), anastomotic (30.7%) or staged (12.0%). Pre-operatively 46.9% (180) of patients reported PVD compared to 39.8% (153) post-operatively (p=0.01). Compared to pre-operative status, 25.0% (96) of patients reported improved PVD and 57.0% (219) reported no change. 18.0% (67) of patients experienced de novo PVD. On multivariate binary logistic regression, urethroplasty technique was associated with de novo PVD (p=0.05). Patients undergoing anastomotic urethroplasty were less likely to report de novo PVD (O.R.0.33, 95%CI 0.13-0.83; p=0.02) compared to onlay or staged techniques. No other factor was associated with de novo PVD including age (p=0.59), stricture length (p=0.71), location (p=0.50), etiology (p=0.59), failed endoscopic treatment (p=0.18), previous urethroplasty (p=0.55) or stricture recurrence (p=0.78). De novo PVD was not associated with patient dissatisfaction (10.1% versus 7.6%; p=0.49). CONCLUSIONS: PVD is common in patients with urethral stricture and there is an overall improvement after urethroplasty. 18.0% of patients will experience de novo PVD. The impact on patient dissatisfaction is unclear, patients undergoing anastomotic urethroplasty are less likely to experience de novo PVD. Source of Funding: University of Alberta Department of Surgery Summer Studentship, Dr. Rex Boake Studentship in Urology © 2021 by American Urological Association Education and Research, Inc.FiguresReferencesRelatedDetails Volume 206Issue Supplement 3September 2021Page: e23-e23 Advertisement Copyright & Permissions© 2021 by American Urological Association Education and Research, Inc.MetricsAuthor Information Jordan Bekkema More articles by this author Keith Rourke More articles by this author Expand All Advertisement Loading ...
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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 | 0.003 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.012 | 0.002 |
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".