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.

Año de publicación:

2019

Keywords:

  • Systematic Review
  • Autism
  • M-CHAT
  • Screening tools
  • HSROC
  • Meta-analysis

Fuente:

scopusscopus

Tipo de documento:

Article

Estado:

Acceso abierto

Áreas de conocimiento:

  • Pediatría

Áreas temáticas:

  • Ginecología, obstetricia, pediatría, geriatría
  • Enfermedades
  • Funcionamiento de bibliotecas y archivos