Balloon (Foley or ATAD) vs low‐dose vaginal misoprostol: Caesarean section
- Population
- third trimester induction of labour in women with a viable fetus
- Intervention
- Balloon (Foley or ATAD)
- Comparison
- low‐dose vaginal misoprostol
- Outcome
- Caesarean section
Balloon (Foley or ATAD) may leads to higher caesarean section compared with low‐dose vaginal misoprostol (low certainty).
What each review found
Current versions only| Finding | Effect | Studies | GRADE certainty |
|---|---|---|---|
Balloon (Foley or ATAD) vs low‐dose vaginal misoprostol Caesarean section · third trimester induction of labour in women with a viable fetus Balloon (Foley or ATAD) may leads to higher caesarean section compared with low‐dose vaginal misoprostol (low certainty). Mechanical methods for induction of labour (2023) · Cochrane Headline outcomes only | RR 1.28 [1.02, 1.6] | 12 studies · 1756 participants | Low |
Balloon (Foley or ATAD) vs low‐dose vaginal misoprostol Caesarean section · third trimester induction of labour in women with a viable fetus Balloon (Foley or ATAD) may leads to higher caesarean section compared with low‐dose vaginal misoprostol (low certainty). Mechanical methods for induction of labour (2019) · Cochrane Headline outcomes onlyearlier version CD001233.PUB3, superseded | RR 1.28 [1.02, 1.6] | 12 studies · 1756 participants | Low |
Findings are shown side by side, never pooled across reviews.
The reviews
| Review | Searched up to | Included studies | AMSTAR 2 |
|---|---|---|---|
| Mechanical methods for induction of labour 2023 · 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.
- Balloon (Foley or ATAD) vs vaginal prostaglandin E2 · third trimester induction of labour in women with a viable fetus · 1 review
- Balloon (Foley or ATAD) vs low‐dose oral misoprostol · third trimester induction of labour in women with a viable fetus · 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.