Pelvic Floor Muscle Training Versus Watchful Waiting and Pelvic Floor Disorders in Postpartum Women: A Systematic Review and Meta-analysis
Bibliographic record
Abstract
OBJECTIVES: Pelvic floor muscle training (PFMT) is often recommended to treat postpartum urinary incontinence (UI). However, the role of postpartum PFMT in pelvic organ prolapse (POP), sexual function, and anal incontinence (AI) remains unclear. We therefore aim to assess the efficacy of postpartum PFMT on these pelvic floor disorders. METHODS: This study is a meta-analysis consisting of randomized controlled trials (RCTs). We searched databases including CENTRAL, MEDLINE, EMBASE, CINAHL, and PEDro. We also sought after grey literature including conference proceedings. We included RCTs comparing PFMT versus watchful waiting in women with stage II or less POP within 1 year postpartum. Two authors independently performed study screening, risk of bias assessments, and data extraction. RESULTS: Fifteen RCTs (3845 patients) were included. Women undergoing PFMT less likely report bothersome POP symptoms (risk ratio [RR], 0.48 [0.30-0.76]; very low-quality evidence). There is no significant difference in the number of women with stage II or greater POP (RR, 0.74 [0.45-1.24]; moderate-quality evidence). Fewer women receiving PFMT report the presence of sexual dysfunction (RR, 0.48 [0.30-0.77]; low-quality evidence). There is no significant difference in AI symptoms (RR, 1.11 [0.82-1.51]), but PFMT may be more beneficial for women with anal sphincter injuries (standardized mean differencein AI scores, -0.57 [-1.12 to -0.02]; low-quality evidence). Women receiving PFMT less likely report UI (RR, 0.44 [0.25-0.75]; moderate-quality evidence) with a more pronounced effect on stress UI (SUI). CONCLUSIONS: At present, it remains uncertain whether postpartum PFMT improves POP symptoms because of very low-quality evidence, and more high-quality RCTs are needed in this area. The POP staging will likely not change with postpartum PFMT. The PFMT may result in improved postpartum sexual function compared to watchful waiting, and may provide benefit for AI in women with anal sphincter injuries. Postpartum PFMT likely reduces the risk of UI, particularly stress urinary incontinence symptoms. There is currently little evidence about postpartum PFMT and long-term pelvic floor function.
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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 | 0.012 | 0.030 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.020 | 0.034 |
| Bibliometrics | 0.005 | 0.006 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.003 | 0.002 |
| Open science | 0.002 | 0.001 |
| Research integrity | 0.003 | 0.002 |
| 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".