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Título
Toddler Screening for Autism Spectrum Disorder: A Meta-Analysis of Diagnostic Accuracy
Autor(es)
Materia
M-CHAT
Autism
Screening tools
Meta-analysis
Systematic review
HSROC
Fecha de publicación
2019-05-08
Editor
Lynn Kern Koegel, Universidad de Stanford, California, EE.UU.
Citación
Sánchez-García, A.B., Galindo-Villardón, P., Nieto-Librero, A.B., Martín-Rodero, H., & Robins, D.L. (2019). Toddler Screening for Autism Spectrum Disorder: A Meta-Analysis of Diagnostic Accuracy. Journal of Autism and Developmental Disorders, 49(5), 1837-1852. https ://doi.org/10.1007/s1080 3-018-03865 -2
Resumen
[EN] 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.
URI
DOI
10.1007/s10803-018-03865-2
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Artículo principal, resultados metaanalisis herramientas de deteccióna autismo