Question · asked by 1 review

Insulin vs anti‐diabetic agent: Adiposity

Insulin showed no clear difference in adiposity at birth ‐ percentage fat mass compared with anti‐diabetic agent (moderate certainty).

What each review found

Current versions only
FindingEffectStudiesGRADE certainty
Insulin vs anti‐diabetic agent
Adiposity at birth ‐ percentage fat mass · Infants of women with gestational diabetes.
Insulin showed no clear difference in adiposity at birth ‐ percentage fat mass compared with anti‐diabetic agent (moderate certainty).
Insulin for the treatment of women with gestational diabetes (2017) · Cochrane Headline outcomes only
no estimate extracted1 study · 82 participantsModerate
Insulin vs anti‐diabetic agent
Adiposity at birth ‐ skinfold sum (mm) · Infants of women with gestational diabetes.
It is very uncertain whether insulin changes adiposity at birth ‐ skinfold sum (mm) compared with anti‐diabetic agent (very low certainty).
Insulin for the treatment of women with gestational diabetes (2017) · Cochrane Headline outcomes only
no estimate extracted1 study · 82 participantsVery low
Insulin vs anti‐diabetic agent
Adiposity in childhood up to 2 years ‐ total fat mass (%) · Infants of women with gestational diabetes.
Insulin showed no clear difference in adiposity in childhood up to 2 years ‐ total fat mass (%) compared with anti‐diabetic agent (low certainty).
Insulin for the treatment of women with gestational diabetes (2017) · Cochrane Headline outcomes only
MD 0.51 study · 318 participantsLow

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

The reviews

ReviewSearched up toIncluded studiesAMSTAR 2
Insulin for the treatment of women with gestational diabetes
2017 · 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.