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Toddler Screening for Autism Spectrum Disorder: A Meta-Analysis of Diagnostic Accuracy
Journal article   Open access   Peer reviewed

Toddler Screening for Autism Spectrum Disorder: A Meta-Analysis of Diagnostic Accuracy

Ana B Sánchez-García, Purificación Galindo-Villardón, Ana B Nieto-Librero, Helena Martín-Rodero and Diana L Robins
Journal of autism and developmental disorders, v 49(5), pp 1837-1852
May 2019
PMID: 30617550
url
https://doi.org/10.1007/s10803-018-03865-2View
Published, Version of Record (VoR) Open

Abstract

Autism Systematic review HSROC M-CHAT Screening tools Meta-analysis
Great efforts focus on early detection of autism spectrum disorder, although some scientists and policy-makers have questioned early universal screening. The aim of this meta-analysis was to evaluate the diagnostic accuracy of the different screening tools. Several electronic databases were used to identify published studies. A Bayesian model was used to estimate the screening accuracy. The pooled sensitivity was 0.72 (95% CI 0.61-0.81), and the specificity was 0.98 (95% CI 0.97-0.99). Subgroup analyses to remove heterogeneity indicated sensitivity was 0.77 (95% CI 0.69-0.84), and specificity was 0.99 (95% CI 0.97-0.99; SD ≤ 0.01). Level 1 screening tools for ASD showed consistent statistically significant results and therefore are adequate to detect autism at 14-36 months.

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44 citations in Scopus

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UN Sustainable Development Goals (SDGs)

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#3 Good Health and Well-Being

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Collaboration types
Domestic collaboration
International collaboration
Web of Science research areas
Psychology, Developmental
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