Toddler Screening for Autism Spectrum Disorder: A Meta-Analysis of Diagnostic Accuracy
[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 use...
| Autores: | , , , , |
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| Tipo de recurso: | artículo |
| Estado: | Versión publicada |
| Fecha de publicación: | 2019 |
| País: | España |
| Institución: | Universidad de Salamanca (USAL) |
| Repositorio: | GREDOS. Repositorio Institucional de la Universidad de Salamanca |
| OAI Identifier: | oai:gredos.usal.es:10366/154405 |
| Acceso en línea: | http://hdl.handle.net/10366/154405 |
| Access Level: | acceso abierto |
| Palabra clave: | M-CHAT Autism Screening tools Meta-analysis Systematic review HSROC |
| Sumario: | [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. |
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