Registre de revue systématique
Récupéré
Publication
crd.york.ac.uk
Micheal Sandbank, Tiffany Woynaroski, Kristen Bottema-Beutel, Jacob Feldman, Shannon LaPoint
(2025).
Project AIM Update: An Updated Systematic Review and Meta-Analysis of Studies of Nonpharmacological Interventions for Young Autistic Children.
CRD/PROSPERO.
University of North Carolina at Chapel Hill.
- Date de publication
-
23/10/2025
- Identifiant
-
CRD420251174652
- Auteurs
-
Micheal Sandbank,
Tiffany Woynaroski,
Kristen Bottema-Beutel,
Jacob Feldman,
Shannon LaPoint
- Source
- CRD/PROSPERO
- Type de référence
- systematic_review_registry
- Éditeur
- University of North Carolina at Chapel Hill
- Source de métadonnées
- crd.york.ac.uk
Résumé
1. Summarize the quality and risk of bias of autism early childhood intervention literature, across all included studies and by intervention type, in terms of adequate random assignment, risk of detection bias, risk of placebo-by-proxy bias (i.e., reliance on caregiver report measures of outcomes when caregivers are aware of intervention assignment), risk of attrition bias, and risk of caregiver/teacher correlated measurement error (i.e., when caregivers participate as interventionists and outcome assessors). 2. Describe measured outcomes broadly and within intervention type in terms of domain, proximity to intervention targets (i.e., proximal or distal), and boundedness to intervention context (i.e., context-bound or generalized). 3. Track the reporting of adverse events, adverse effects, and harms within identified studies. 4. Summarize effects within intervention and outcome type using random effects meta-analysis and the Subgroup Correlated Effects Model of Robust Variance Estimation (to account for correlation of effects within studies), first across all included studies and outcomes, then restricted to effects subject to decreasing risks of bias: (a) from Randomized Controlled Trials, (b) excluding caregiver/teacher reports, (c) excluding outcomes at high risk of detection bias, (d) excluding outcomes at high risk of attrition bias.