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...

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Detalles Bibliográficos
Autores: Sánchez García, Ana Belén, Galindo Villardón, Purificación, Nieto Librero, Ana Belén, Martín Rodero, Helena, Robins, Diana L.
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
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spelling Toddler Screening for Autism Spectrum Disorder: A Meta-Analysis of Diagnostic AccuracySánchez García, Ana BelénGalindo Villardón, PurificaciónNieto Librero, Ana BelénMartín Rodero, HelenaRobins, Diana L.M-CHAT AutismScreening toolsMeta-analysisSystematic reviewHSROC[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 ComisionLynn Kern Koegel, Universidad de Stanford, California, EE.UU.202420242019info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionapplication/pdfhttp://hdl.handle.net/10366/154405reponame:GREDOS. Repositorio Institucional de la Universidad de Salamancainstname:Universidad de Salamanca (USAL)InglésAttribution-NonCommercial-NoDerivatives 4.0 Internacionalhttp://creativecommons.org/licenses/by-nc-nd/4.0info:eu-repo/semantics/openAccessoai:gredos.usal.es:10366/1544052026-06-07T06:28:51Z
dc.title.none.fl_str_mv Toddler Screening for Autism Spectrum Disorder: A Meta-Analysis of Diagnostic Accuracy
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
dc.creator.none.fl_str_mv Sánchez García, Ana Belén
Galindo Villardón, Purificación
Nieto Librero, Ana Belén
Martín Rodero, Helena
Robins, Diana L.
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
dc.subject.none.fl_str_mv M-CHAT 
Autism
Screening tools
Meta-analysis
Systematic review
HSROC
topic 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
dc.date.none.fl_str_mv 2019
2024
2024
dc.type.none.fl_str_mv info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
format article
status_str publishedVersion
dc.identifier.none.fl_str_mv http://hdl.handle.net/10366/154405
url http://hdl.handle.net/10366/154405
dc.language.none.fl_str_mv Inglés
language_invalid_str_mv Inglés
dc.rights.none.fl_str_mv Attribution-NonCommercial-NoDerivatives 4.0 Internacional
http://creativecommons.org/licenses/by-nc-nd/4.0
info:eu-repo/semantics/openAccess
rights_invalid_str_mv Attribution-NonCommercial-NoDerivatives 4.0 Internacional
http://creativecommons.org/licenses/by-nc-nd/4.0
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
dc.publisher.none.fl_str_mv Lynn Kern Koegel, Universidad de Stanford, California, EE.UU.
publisher.none.fl_str_mv Lynn Kern Koegel, Universidad de Stanford, California, EE.UU.
dc.source.none.fl_str_mv reponame:GREDOS. Repositorio Institucional de la Universidad de Salamanca
instname:Universidad de Salamanca (USAL)
instname_str Universidad de Salamanca (USAL)
reponame_str GREDOS. Repositorio Institucional de la Universidad de Salamanca
collection GREDOS. Repositorio Institucional de la Universidad de Salamanca
repository.name.fl_str_mv
repository.mail.fl_str_mv
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score 15,300719

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