Intramuscular (IM) progesterone vs no treatment or placebo: Low birthweight
Intramuscular (IM) progesterone showed no clear difference in infant birthweight less than 2500 g compared with no treatment or placebo (moderate certainty).
What each review found
Current versions only| Finding | Effect | Studies | GRADE certainty |
|---|---|---|---|
Intramuscular (IM) progesterone vs no treatment or placebo Infant birthweight less than 2500 g · Women with a multiple pregnancy Intramuscular (IM) progesterone showed no clear difference in infant birthweight less than 2500 g compared with no treatment or placebo (moderate certainty). Prenatal administration of progestogens for preventing spontaneous preterm birth in women with a multiple… (2019) · Cochrane Headline outcomes only | RR 0.99 [0.9, 1.08] | 5 studies · 4071 participants | Moderate |
Intramuscular (IM) progesterone vs no treatment or placebo Infant birthweight less than 2500 g · Women with a multiple pregnancy Intramuscular (IM) progesterone showed no clear difference in infant birthweight less than 2500 g compared with no treatment or placebo (moderate certainty). Prenatal administration of progestogens for preventing spontaneous preterm birth in women with a multiple… (2017) · Cochrane Headline outcomes onlyearlier version CD012024.PUB2, superseded | RR 0.99 [0.9, 1.08] | 5 studies · 4071 participants | Moderate |
Findings are shown side by side, never pooled across reviews.
The reviews
| Review | Searched up to | Included studies | AMSTAR 2 |
|---|---|---|---|
| Prenatal administration of progestogens for preventing spontaneous preterm birth in women with a multiple pregnancy 2019 · Cochrane Headline outcomes only | Not reported | list not extracted yet | Not 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.