Does Cesarean Section Reduce Postpartum Urinary Incontinence? A Systematic Review
Bibliographic record
Abstract
BACKGROUND: The impact of delivery mode on the development of urinary incontinence has been much debated. The primary objective of this systematic review was to compare the prevalence of postpartum urinary incontinence after cesarean section compared with vaginal birth. METHODS: The MEDLINE (1966-2005) and CINAHL (1982-2005) databases were searched for reports specifying postpartum prevalence or incidence of unspecified, stress, urge, and mixed urinary incontinence by mode of birth. Primary authors were contacted to request unpublished data about severity, parity, and timing of cesarean section. All data were entered into Review Manager software, and odds ratio (OR), absolute risk reduction, and number needed to prevent were calculated. RESULTS: Cesarean section reduced the risk of postpartum stress urinary incontinence from 16 to 9.8 percent (OR = 0.56 [0.45, 0.68], number needed to prevent = 15 [12,22]) in 6 cross-sectional studies, and from 22 to 10 percent in 12 cohort studies (OR=0.48 [0.39, 0.58], number needed to prevent = 10 [8,13]). Differences persisted by parity and after exclusion of instrumental delivery, but risk of severe stress urinary incontinence and urge urinary incontinence did not differ by mode of birth. CONCLUSIONS: Although short-term occurrence of any degree of postpartum stress urinary incontinence is reduced with cesarean section, severe symptoms are equivalent by mode of birth. Risk of postpartum stress urinary incontinence must be considered in the context of associated maternal and newborn morbidity and mortality.
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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 | 0.007 | 0.049 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.009 | 0.007 |
| Bibliometrics | 0.006 | 0.006 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.002 | 0.002 |
| Open science | 0.002 | 0.001 |
| Research integrity | 0.002 | 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".