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Development of clinical prediction rule for diagnosis of autistic spectrum disorder in children
PURPOSE: This study aims to develop a clinical prediction rule for the diagnosis of autistic spectrum disorder (ASD) in children. DESIGN/METHODOLOGY/APPROACH: This population-based study was carried out in children aged 2 to 5 years who were suspected of having ASD. Data regarding demographics, risk...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Emerald Publishing Limited
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7370955/ https://www.ncbi.nlm.nih.gov/pubmed/32742626 http://dx.doi.org/10.1108/MIJ-01-2020-0001 |
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author | Lerthattasilp, Tiraya Tanprasertkul, Chamnan Chunsuwan, Issarapa |
author_facet | Lerthattasilp, Tiraya Tanprasertkul, Chamnan Chunsuwan, Issarapa |
author_sort | Lerthattasilp, Tiraya |
collection | PubMed |
description | PURPOSE: This study aims to develop a clinical prediction rule for the diagnosis of autistic spectrum disorder (ASD) in children. DESIGN/METHODOLOGY/APPROACH: This population-based study was carried out in children aged 2 to 5 years who were suspected of having ASD. Data regarding demographics, risk factors, histories taken from caregivers and clinical observation of ASD symptoms were recorded before specialists assessed patients using standardized diagnostic tools. The predictors were analyzed by multivariate logistic regression analysis and developed into a predictive model. FINDINGS: An ASD diagnosis was rendered in 74.8 per cent of 139 participants. The clinical prediction rule consisted of five predictors, namely, delayed speech for their age, history of rarely making eye contact or looking at faces, history of not showing off toys or favorite things, not following clinician’s eye direction and low frequency of social interaction with the clinician or the caregiver. At four or more predictors, sensitivity was 100 per cent for predicting a diagnosis of ASD, with a positive likelihood ratio of 16.62. ORIGINALITY/VALUE: This practical clinical prediction rule would help general practitioners to initially diagnose ASD in routine clinical practice. |
format | Online Article Text |
id | pubmed-7370955 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | Emerald Publishing Limited |
record_format | MEDLINE/PubMed |
spelling | pubmed-73709552020-07-31 Development of clinical prediction rule for diagnosis of autistic spectrum disorder in children Lerthattasilp, Tiraya Tanprasertkul, Chamnan Chunsuwan, Issarapa Ment Illn Research Paper PURPOSE: This study aims to develop a clinical prediction rule for the diagnosis of autistic spectrum disorder (ASD) in children. DESIGN/METHODOLOGY/APPROACH: This population-based study was carried out in children aged 2 to 5 years who were suspected of having ASD. Data regarding demographics, risk factors, histories taken from caregivers and clinical observation of ASD symptoms were recorded before specialists assessed patients using standardized diagnostic tools. The predictors were analyzed by multivariate logistic regression analysis and developed into a predictive model. FINDINGS: An ASD diagnosis was rendered in 74.8 per cent of 139 participants. The clinical prediction rule consisted of five predictors, namely, delayed speech for their age, history of rarely making eye contact or looking at faces, history of not showing off toys or favorite things, not following clinician’s eye direction and low frequency of social interaction with the clinician or the caregiver. At four or more predictors, sensitivity was 100 per cent for predicting a diagnosis of ASD, with a positive likelihood ratio of 16.62. ORIGINALITY/VALUE: This practical clinical prediction rule would help general practitioners to initially diagnose ASD in routine clinical practice. Emerald Publishing Limited 2020-03-20 /pmc/articles/PMC7370955/ /pubmed/32742626 http://dx.doi.org/10.1108/MIJ-01-2020-0001 Text en © Tiraya Lerthattasilp, Chamnan Tanprasertkul and Issarapa Chunsuwan. Published by Emerald Publishing Limited. This article is published under the Creative Commons Attribution (CC BY 4.0) licence. Anyone may reproduce, distribute, translate and create derivative works of this article (for both commercial and non-commercial purposes), subject to full attribution to the original publication and authors. The full terms of this licence may be seen at: http://creativecommons.org/licences/by/4.0/legalcode |
spellingShingle | Research Paper Lerthattasilp, Tiraya Tanprasertkul, Chamnan Chunsuwan, Issarapa Development of clinical prediction rule for diagnosis of autistic spectrum disorder in children |
title | Development of clinical prediction rule for diagnosis of autistic spectrum disorder in children |
title_full | Development of clinical prediction rule for diagnosis of autistic spectrum disorder in children |
title_fullStr | Development of clinical prediction rule for diagnosis of autistic spectrum disorder in children |
title_full_unstemmed | Development of clinical prediction rule for diagnosis of autistic spectrum disorder in children |
title_short | Development of clinical prediction rule for diagnosis of autistic spectrum disorder in children |
title_sort | development of clinical prediction rule for diagnosis of autistic spectrum disorder in children |
topic | Research Paper |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7370955/ https://www.ncbi.nlm.nih.gov/pubmed/32742626 http://dx.doi.org/10.1108/MIJ-01-2020-0001 |
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