Fibroid Surgery and Long Term Improvement in Bladder Symptoms [38S]
Bibliographic record
Abstract
INTRODUCTION: Several studies have demonstrated a short term benefit in urinary symptoms after fibroid debulking surgery with one year being the longest follow up reported in the literature. This study assessed the long term impact of fibroid debulking surgery on urinary symptoms several years after the procedure. METHODS: This is a follow up of a study which prospectively investigated improvement in urinary symptoms after fibroid debulking surgery in 61 women. A demographics questionnaire and the Urinary Distress Inventory (UDI) were completed. Changes in total UDI scores and UDI subscale scores from preoperative baseline to long term follow up were calculated using Wilcoxon signed rank test, t-test, Fisher's exact test and Chi square test. The study was approved by the Providence Health Care Research Ethics Board (H11-02621). RESULTS: Thirty four women participated. Mean follow up time was 5.3 years. There was a statistically significant improvement in total UDI scores (p<0.001), and obstructive (p<0.001) and irritative (p<0.001) subscale scores. Stress subscale scores significantly improved in a subgroup analysis of patients that had significant stress urinary symptoms at baseline (p=0.04). Six of 8 women (75%) were cured of moderate to severe symptoms of urge incontinence and 2 of 8 (25%) were cured of moderate to severe symptoms of stress incontinence. CONCLUSION: This is the first study demonstrating long term benefit of fibroid debulking surgery on bothersome urinary symptoms several years after the procedure. Women with urinary symptoms secondary to fibroids and refractory to medical management should be counselled on the potential benefits of surgery on their symptoms.
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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 | 0.002 |
| 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) | 0.004 | 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 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".