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: | , , , , |
|---|---|
| Formato: | artículo |
| Estado: | Versión publicada |
| Fecha de publicación: | 2019 |
| País: | España |
| Recursos: | Universidad de Salamanca (USAL) |
| Repositorio: | GREDOS. Repositorio Institucional de la Universidad de Salamanca |
| OAI Identifier: | oai:gredos.usal.es:10366/154405 |
| Acesso em linha: | http://hdl.handle.net/10366/154405 |
| Access Level: | acceso abierto |
| Palavra-chave: | M-CHAT Autism Screening tools Meta-analysis Systematic review HSROC |
| id |
ES_cf72ce85386dbb9dcd91a182c73cf1df |
|---|---|
| oai_identifier_str |
oai:gredos.usal.es:10366/154405 |
| network_acronym_str |
ES |
| network_name_str |
España |
| spelling |
Toddler Screening for Autism Spectrum Disorder: A Meta-Analysis of Diagnostic Accuracy Sánchez García, Ana Belén Galindo Villardón, Purificación Nieto Librero, Ana Belén Martín Rodero, Helena Robins, Diana L. M-CHAT Autism Screening tools Meta-analysis Systematic review HSROC [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. Fulbright Comision Lynn Kern Koegel, Universidad de Stanford, California, EE.UU. http://hdl.handle.net/10366/154405 |
| title |
Toddler Screening for Autism Spectrum Disorder: A Meta-Analysis of Diagnostic Accuracy |
| spellingShingle |
Toddler Screening for Autism Spectrum Disorder: A Meta-Analysis of Diagnostic Accuracy Sánchez García, Ana Belén M-CHAT Autism Screening tools Meta-analysis Systematic review HSROC |
| title_short |
Toddler Screening for Autism Spectrum Disorder: A Meta-Analysis of Diagnostic Accuracy |
| title_full |
Toddler Screening for Autism Spectrum Disorder: A Meta-Analysis of Diagnostic Accuracy |
| title_fullStr |
Toddler Screening for Autism Spectrum Disorder: A Meta-Analysis of Diagnostic Accuracy |
| title_full_unstemmed |
Toddler Screening for Autism Spectrum Disorder: A Meta-Analysis of Diagnostic Accuracy |
| title_sort |
Toddler Screening for Autism Spectrum Disorder: A Meta-Analysis of Diagnostic Accuracy |
| author |
Sánchez García, Ana Belén |
| author_facet |
Sánchez García, Ana Belén Galindo Villardón, Purificación Nieto Librero, Ana Belén Martín Rodero, Helena Robins, Diana L. |
| author_role |
author |
| author2 |
Galindo Villardón, Purificación Nieto Librero, Ana Belén Martín Rodero, Helena Robins, Diana L. |
| author2_role |
author author author author |
| topic |
M-CHAT Autism Screening tools Meta-analysis Systematic review HSROC |
| topic_facet |
M-CHAT Autism Screening tools Meta-analysis Systematic review HSROC |
| description |
[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. |
| publishDate |
2019 |
| format |
article |
| status_str |
publishedVersion |
| url |
http://hdl.handle.net/10366/154405 |
| eu_rights_str_mv |
openAccess |
| publisher |
Lynn Kern Koegel, Universidad de Stanford, California, EE.UU. |
| institution |
Universidad de Salamanca (USAL) |
| collection |
GREDOS. Repositorio Institucional de la Universidad de Salamanca |
| reponame_str |
GREDOS. Repositorio Institucional de la Universidad de Salamanca |
| instname_str |
Universidad de Salamanca (USAL) |
| _version_ |
1878441007089975296 |
| publishDateSort |
2019 |
| author_browse |
Galindo Villardón, Purificación Martín Rodero, Helena Nieto Librero, Ana Belén Robins, Diana L. Sánchez García, Ana Belén |
| publisherStr |
Lynn Kern Koegel, Universidad de Stanford, California, EE.UU. |
| score |
6,9303427 |