Assessing the Efficacy and Safety of Misoprostol Prior to Hysteroscopy in Women with Difficult Cervix: A Systematic Review and Meta-Analysis
Bibliographic record
Abstract
Background/Objectives: Hysteroscopy has been used as both a diagnostic and therapeutic tool for intrauterine pathologies under direct visualization. However, this procedure may be associated with an increased risk of complications during entry, which can be reduced by cervical ripening before the operation. The efficacy of misoprostol in this context is influenced by factors such as estrogen levels, parity, and the mode of previous deliveries. This study aimed to assess the efficacy and safety of misoprostol in women with a challenging cervix while mitigating the influence of confounding variables. Methods: Three electronic databases, namely PubMed, Scopus, and ISI Web of Science, were searched until 14 May 2024. Randomized controlled trials focusing on postmenopausal patients, nulliparous women, and multiparous women with no prior history of vaginal delivery, undergoing hysteroscopy were included. The cervical width, time needed for cervical dilation, and the need for additional dilatation alongside the complications and adverse effects from all included studies were collected and analyzed using R (version 4.2.3). Results: Seven studies on premenopausal women and three on postmenopausal women were included. In premenopausal women, misoprostol significantly increased cervical width compared to placebo (SMD = 2.2, 95% CI 0.9 to 3.4) and reduced the need for additional cervical dilatation (OR = 0.36, 95% CI 0.17 to 0.74). No significant difference was found in the time required for cervical dilation between misoprostol and placebo groups. In postmenopausal women, misoprostol did not significantly affect cervical width compared to placebo (SMD = −0.55, 95% CI −1.3 to 0.21). Conclusions: Misoprostol is beneficial for cervical dilation in premenopausal women without a prior history of vaginal delivery but less effective in postmenopausal patients. While associated with postoperative risks, it reduces hysteroscopy-related complications. Future research should address discrepancies by controlling the confounding variables like menopausal status, parity, and mode of delivery to enhance the understanding of misoprostol’s effects and pinpoint the specific patient populations that would derive the greatest benefits from its use.
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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 | 0.011 | 0.027 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.019 | 0.032 |
| 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) | 0.003 | 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".