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

ABSTRACT: 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.

SUBMITTER: Sanchez-Garcia AB 

PROVIDER: S-EPMC6483963 | biostudies-literature | 2019 May

REPOSITORIES: biostudies-literature

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

Sánchez-García Ana B AB   Galindo-Villardón Purificación P   Nieto-Librero Ana B AB   Martín-Rodero Helena H   Robins Diana L DL  

Journal of autism and developmental disorders 20190501 5

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  ...[more]