Independent Predictors of Stricture Recurrence Following Urethroplasty for Isolated Bulbar Urethral Strictures
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Bibliographic record
Abstract
PURPOSE: We evaluated preoperative risk factors associated with stricture recurrence in a large, homogenous series of bulbar urethroplasties. MATERIALS AND METHODS: We analyzed the records of 596 patients who underwent isolated bulbar urethroplasty at a single center from August 2003 to June 2015. Urethroplasty failure was defined as stricture less than 16Fr identified on cystoscopy with a minimum of 12 months of followup. The potential risk factors examined were patient age, stricture etiology, stricture length, diabetes, smoking, obesity, Charlson comorbidity index, previous endoscopic treatment, previous urethroplasty and type of urethroplasty. Univariate and multivariable Cox regression analysis was used to evaluate potential risk factors and associations. RESULTS: Average stricture length was 3.9 cm and mean patient age was 44.4 years. Overall urethral patency was 93.3% and mean followup was 65.4 months (range 12 to 149). Previous endoscopic treatment had failed in 88.1% of patients while previous urethroplasty had failed in 10.7%. On multivariate analysis increased stricture length (HR 1.2, 95% CI 1.1-1.3, p = 0.01), increased patient comorbidity (HR 2.4, 95% CI 1.1-5.3, p = 0.03), obesity (HR 2.9, 95% CI 1.3-6.5, p = 0.01) and infectious strictures (HR 3.7, 95% CI 1.3-10.6, p = 0.02) were associated with stricture recurrence. Previous urethroplasty, the number of failed endoscopic procedures, type of urethroplasty and individual comorbidities such as diabetes, smoking and patient age did not affect the recurrent stricture rate. CONCLUSIONS: Although bulbar urethroplasty has a good stricture-free rate, patients with increased stricture length, increased overall comorbidity, obesity and strictures of infectious etiology are at higher risk for failure. These patients at risk should be counseled accordingly and perhaps be followed more closely after urethroplasty.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 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 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 it