Question · asked by 1 review

Upright position vs recumbent position: Operative birth (caesarean or instrumental vaginal)

Upright position leads to higher operative birth (caesarean or instrumental vaginal) compared with recumbent position (sensitivity analyses ‐ studies at low risk of… (high certainty).

What each review found

Include earlier review versions
FindingEffectStudiesGRADE certainty
Upright position vs recumbent position (sensitivity analyses ‐ studies at low risk of bias only)
Operative birth (caesarean or instrumental vaginal) · women in the second stage of labour with epidural anaesthesia
Upright position leads to higher operative birth (caesarean or instrumental vaginal) compared with recumbent position (sensitivity analyses ‐ studies at low risk of… (high certainty).
Maternal position in the second stage of labour for women with epidural anaesthesia (2018) · Cochrane Headline outcomes only
RR 1.11 [1.03, 1.2]3 studies · 3609 participantsHigh
Upright position vs recumbent position
Operative birth (caesarean or instrumental vaginal) · women in the second stage of labour with epidural anaesthesia
Upright position showed no clear difference in operative birth (caesarean or instrumental vaginal) compared with recumbent position (low certainty).
Maternal position in the second stage of labour for women with epidural anaesthesia (2018) · Cochrane Headline outcomes only
RR 0.86 [0.7, 1.07]8 studies · 4316 participantsLow

Findings are shown side by side, never pooled across reviews.

The reviews

ReviewSearched up toIncluded studiesAMSTAR 2
Maternal position in the second stage of labour for women with epidural anaesthesia
2018 · Cochrane Headline outcomes only
Not reportedlist not extracted yetNot assessed

Studies behind the findings

None of these reviews ties its included studies to this outcome in the data here. Cochrane reviews and reviews with headline outcomes only do not list their studies yet.

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.