Clinical predictors of urinary retention after pelvic reconstructive and stress urinary incontinence surgery.
Bibliographic record
Abstract
OBJECTIVE: To evaluate the impact of perioperative variables on length of postoperative catheterization. STUDY DESIGN: A multicenter, prospective, cohort study of women undergoing pelvic reconstructive and/or incontinence surgery was performed. Perioperative variables associated with length of catheterization and prolonged catheterization (catheterization >30 days) were analyzed. Univariate logistic regression was used identify variables associated with urinary retention. Multivariate logistic regression analysis was performed on variables identified by univariate analysis to construct the best model predicting prolonged postoperative catheterization. RESULTS: Catheterization data were available for 408 patients. Mean catheterization length was 11 +11 days. Thirty-four patients required prolonged catheterization. Logistic regression analysis selected 3 variables as predictors of prolonged catheterization: performance of pubovaginal sling (OR 5.44), performance of vaginal apex suspension (OR 2.32) and preoperative presence of grade 3/4 vaginal apex descent (OR 2.75) (all p < or =0.05). The probability of prolonged catheterization occurring in the absence of any of the predictors was 2% and increased to 5-11% if 1 predictor was present. When all 3 were present, the probability of prolonged catheter use increased to 45%. CONCLUSION: The performance of a pubovaginal sling and of a vaginal apex suspension or the preoperative presence of grade 3/4 vaginal apex descent are associated with prolonged postoperative catheterization.
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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 | 0.002 | 0.000 |
| 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 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".