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

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...

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Detalles Bibliográficos
Autores principales: Sánchez-García, Ana B., Galindo-Villardón, Purificación, Nieto-Librero, Ana B., Martín-Rodero, Helena, Robins, Diana L.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer US 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6483963/
https://www.ncbi.nlm.nih.gov/pubmed/30617550
http://dx.doi.org/10.1007/s10803-018-03865-2
Descripción
Sumario: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. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (10.1007/s10803-018-03865-2) contains supplementary material, which is available to authorized users.