Oral misoprostol vs placebo/no treatment: Uterine hyperstimulation without fetal heart rate changes
- Population
- women with ruptured membranes in the third trimester for induction of labour.
- Intervention
- Oral misoprostol
- Comparison
- placebo/no treatment
- Outcome
- Uterine hyperstimulation without fetal heart rate changes
It is very uncertain whether oral misoprostol changes uterine hyperstimulation without fetal heart rate changes compared with placebo/no treatment (very low certainty).
What each review found
Current versions only| Finding | Effect | Studies | GRADE certainty |
|---|---|---|---|
Oral misoprostol vs placebo/no treatment Uterine hyperstimulation without fetal heart rate changes · women with ruptured membranes in the third trimester for induction of labour. It is very uncertain whether oral misoprostol changes uterine hyperstimulation without fetal heart rate changes compared with placebo/no treatment (very low certainty). Low‐dose oral misoprostol for induction of labour (2021) · Cochrane Headline outcomes only | RR 2.06 [0.39, 10.87] | 2 studies · 430 participants | Very low |
Findings are shown side by side, never pooled across reviews.
The reviews
| Review | Searched up to | Included studies | AMSTAR 2 |
|---|---|---|---|
| Low‐dose oral misoprostol for induction of labour 2021 · Cochrane Headline outcomes only | Not reported | Not extracted | Not assessed |
Related questions
The same intervention and outcome, asked in another population or against another comparator.
- Oral misoprostol vs vaginal dinoprostone · women in the third trimester for induction of labour. · 1 review
- Oral misoprostol vs vaginal misoprostol · women in the third trimester for induction of labour. · 1 review
- Oral misoprostol vs mechanical methods · women in the third trimester for induction of labour. · 1 review
- Oral misoprostol vs intravenous (IV) oxytocin · women in the third trimester for induction of labour. · 1 review
How reviews are matched to this question
Reviews word the same question differently. Four decision models (TypeSafe's Jev, Liquid AI's d1-ultra, SubQ Snap and Baseten's Elephant) judged each wording of the population, intervention, comparator and outcome against the others; two wordings count as the same when at least three of them agree and none clearly disagrees, and findings count as this question only when all four elements match. Timing, setting and subgroup never split a question: they are shown on each finding.