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:
![scopus](/_next/image?url=%2Fscopus.png&w=128&q=75)
Tipo de documento:
Article
Estado:
Acceso abierto
Áreas de conocimiento:
- Pediatría
Áreas temáticas:
- Ginecología, obstetricia, pediatría, geriatría
- Enfermedades
- Funcionamiento de bibliotecas y archivos