Question · asked by 1 review

Long‐acting FSH (all doses) vs daily FSH: Live birth rate

Long‐acting FSH (all doses) probably leads to lower live birth rate ‐ Low dose (60 to 120 μg) compared with daily FSH (moderate certainty).

What each review found

Current versions only
FindingEffectStudiesGRADE certainty
Long‐acting FSH (all doses) vs daily FSH
Live birth rate ‐ Low dose (60 to 120 μg)
Long‐acting FSH (all doses) probably leads to lower live birth rate ‐ Low dose (60 to 120 μg) compared with daily FSH (moderate certainty).
Long‐acting FSH versus daily FSH for women undergoing assisted reproduction (2015) · Cochrane Headline outcomes only
RR 0.7 [0.52, 0.93]3 studies · 645 participantsModerate
Long‐acting FSH (all doses) vs daily FSH
Live birth rate ‐ Medium dose (150 to 180 μg)
Long‐acting FSH (all doses) showed no clear difference in live birth rate ‐ Medium dose (150 to 180 μg) compared with daily FSH (moderate certainty).
Long‐acting FSH versus daily FSH for women undergoing assisted reproduction (2015) · Cochrane Headline outcomes only
RR 1.03 [0.9, 1.18]4 studies · 1685 participantsModerate
Long‐acting FSH (all doses) vs daily FSH
Live birth rate ‐ High dose (240 μg)
It is very uncertain whether long‐acting FSH (all doses) changes live birth rate ‐ High dose (240 μg) compared with daily FSH (very low certainty).
Long‐acting FSH versus daily FSH for women undergoing assisted reproduction (2015) · Cochrane Headline outcomes only
RR 0.43 [0.12, 1.52]1 study · 33 participantsVery low

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

The reviews

ReviewSearched up toIncluded studiesAMSTAR 2
Long‐acting FSH versus daily FSH for women undergoing assisted reproduction
2015 · 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.