Question · asked by 1 review

Summary of findings table ‐ Early developmental intervention programmes vs standard follow‐up: Cognitive outcome

What each review found

Include earlier review versions
FindingEffectStudiesGRADE certainty
Summary of findings table ‐ Early developmental intervention programmes vs standard follow‐up
Cognitive outcome in infancy ‐ DQ (Bayley, Griffiths, Brunet‐Leizine) · preterm infants
Early developmental intervention programmes provided post hospital discharge to prevent motor and cognitive… (2024) · Cochrane Headline outcomes only
no estimate extracted25 studies · 3132 participantsLow
Summary of findings table ‐ Early developmental intervention programmes vs standard follow‐up
Cognitive outcome at preschool age ‐ IQ (Bayley, Stanford‐Binet, McCarthy, WPPSI‐III) · preterm infants
Early developmental intervention programmes provided post hospital discharge to prevent motor and cognitive… (2024) · Cochrane Headline outcomes only
no estimate extracted9 studies · 1524 participantsHigh
Summary of findings table ‐ Early developmental intervention programmes vs standard follow‐up
Cognitive outcome at school age ‐ IQ (WISC, Kaufmann, DAS, WASI‐II) · preterm infants
Early developmental intervention programmes provided post hospital discharge to prevent motor and cognitive… (2024) · Cochrane Headline outcomes only
no estimate extracted6 studies · 1453 participantsLow

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

The reviews

ReviewSearched up toIncluded studiesAMSTAR 2
Early developmental intervention programmes provided post hospital discharge to prevent motor and cognitive impairment in preterm infants
2024 · 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.