The impact of bariatric surgery on urinary incontinence: a systematic review and meta‐analysis
Bibliographic record
Abstract
OBJECTIVES: To systematically review and meta-analyse the impact of bariatric surgery on obese patients with urinary incontinence (UI). METHODS: A search of the Medical Literature Analysis and Retrieval System Online (MEDLINE), the Excerpta Medica dataBASE (EMBASE), Web of Science, Cochrane Central Register of Controlled Trials (CENTRAL), and PubMed to June 2018 was performed using methods pre-published on the International Prospective Register of Systematic Reviews (PROSPERO). Reporting followed the Preferred Reporting Items for Systematic Review and Meta-analysis (PRISMA) guidelines. Studies comparing UI status in obese patients before and after bariatric surgery were included. Primary outcomes were the improvement or complete resolution of any UI, stress UI (SUI), and urgency UI (UUI). Secondary outcomes were validated UI questionnaire scores. The Grading of Recommendations, Assessment, Development, and Evaluation (GRADE) approach assessed overall quality of evidence. RESULTS: In all, 33 cohort studies (2910 patients) were included (median follow-up 12 months). Bariatric surgery resulted in improvement or resolution of any UI in 56% (95% confidence interval [CI] 48-63%), SUI in 47% (95% CI 34-60%), and UUI in 53% (95% CI 32-73%) of patients. Moreover, bariatric surgery significantly decreased (P < 0.001) questionnaire scores such as: the Urogenital Distress Inventory by 13.4 points (95% CI 7.2-19.6), International Consultation on Incontinence Questionnaire by 4.0 points (95% CI 2.3-5.7), and Incontinence Impact Questionnaire by 5.3 points (95% CI 3.9-6.6). However, worsening or new onset of UI was present in 3% of patients. The quality of evidence was very low for all outcomes. CONCLUSION: Half of obese patients report improvement or resolution of UI after bariatric surgery, but overall the quality of evidence is very low. Comparative studies examining the benefits of bariatric surgery in obese patients with UI are warranted.
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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 | 0.017 | 0.035 |
| Meta-epidemiology (narrow) | 0.003 | 0.002 |
| Meta-epidemiology (broad) | 0.022 | 0.036 |
| Bibliometrics | 0.010 | 0.009 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.003 | 0.002 |
| Open science | 0.003 | 0.002 |
| Research integrity | 0.003 | 0.001 |
| 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".