A systematic review of screening tools for the detection of autism spectrum disorder in mainland China and surrounding regions

Autism ◽  
2019 ◽  
Vol 24 (2) ◽  
pp. 285-296 ◽  
Author(s):  
Ji Wang ◽  
Darren Hedley ◽  
Simon M Bury ◽  
Josephine Barbaro
Keyword(s):  
Systematic Review ◽  
Autism Spectrum Disorder ◽  
Public Awareness ◽  
Mainland China ◽  
Autism Spectrum ◽  
Spectrum Disorder ◽  
Screening Tools ◽  
Assessment Instruments ◽  
Detection And Diagnosis ◽  
Outcomes For Children

Screening for autism spectrum disorder is the first step toward early detection and diagnosis, thereby impacting the likelihood of children accessing early intervention and, importantly, improving long-term outcomes. This systematic review aimed to (a) establish a clear baseline of autism spectrum disorder screening tools currently used throughout mainland China and surrounding regions, (b) identify the strengths and limitations of these instruments, and (c) develop specific recommendations regarding screening for autism spectrum disorder throughout Chinese-speaking countries. Databases were searched for recent (2015–2018) articles published in Chinese or English languages. Twenty-two studies (13 Chinese, 9 English) met inclusion criteria; two from Taiwan and the remainder from mainland China. Studies varied greatly in the extent of psychometric analyses and reported autism spectrum disorder prevalence. The majority of diagnoses were based on Diagnostic and Statistical Manual of Mental Disorders (4th ed. (DSM-IV) or 5th ed. (DSM-5)) criteria, although a small number of studies utilized gold-standard diagnostic assessment instruments. It is recommended that a systematic, multi-tiered, screening network be established to improve the identification of autism spectrum disorder in China and surrounding regions. Assessment and diagnosis need to be culturally appropriate, and amenable to low-resource settings. In addition, increased public awareness programs to reduce stigma will be important in improving outcomes for children with autism spectrum disorder.

scholarly journals Information and Communication Technologies to Support Early Screening of Autism Spectrum Disorder: A Systematic Review

Children ◽  
2021 ◽  
Vol 8 (2) ◽  
pp. 93
Author(s):  
Lorenzo Desideri ◽  
Patricia Pérez-Fuster ◽  
Gerardo Herrera
Keyword(s):  
Systematic Review ◽  
Autism Spectrum Disorder ◽  
Information And Communication Technologies ◽  
Digital Libraries ◽  
English Language ◽  
Autism Spectrum ◽  
Spectrum Disorder ◽  
Screening Tools ◽  
Early Screening

The aim of this systematic review is to identify recent digital technologies used to detect early signs of autism spectrum disorder (ASD) in preschool children (i.e., up to six years of age). A systematic literature search was performed for English language articles and conference papers indexed in Pubmed, PsycInfo, ERIC, CINAHL, WoS, IEEE, and ACM digital libraries up until January 2020. A follow-up search was conducted to cover the literature published until December 2020 for the usefulness and interest in this area of research during the Covid-19 emergency. In total, 2427 articles were initially retrieved from databases search. Additional 481 articles were retrieved from follow-up search. Finally, 28 articles met the inclusion criteria and were included in the review. The studies included involved four main interface modalities: Natural User Interface (e.g., eye trackers), PC or mobile, Wearable, and Robotics. Most of the papers included (n = 20) involved the use of Level 1 screening tools. Notwithstanding the variability of the solutions identified, psychometric information points to considering available technologies as promising supports in clinical practice to detect early sign of ASD in young children. Further research is needed to understand the acceptability and increase use rates of technology-based screenings in clinical settings.

A systematic review of screening tools in non-young children and adults for autism spectrum disorder

2018 ◽  
Vol 80 ◽  
pp. 1-12 ◽  
Author(s):  
Tomoya Hirota ◽  
Ryuhei So ◽  
Young Shin Kim ◽  
Bennett Leventhal ◽  
Richard A. Epstein
Keyword(s):  
Systematic Review ◽  
Autism Spectrum Disorder ◽  
Young Children ◽  
Autism Spectrum ◽  
Spectrum Disorder ◽  
Screening Tools

A systematic review and meta-analysis of parent-mediated intervention for children and adolescents with autism spectrum disorder in mainland China, Hong Kong, and Taiwan

Autism ◽  
2020 ◽  
Vol 24 (8) ◽  
pp. 1960-1979
Author(s):  
Qing Liu ◽  
Wu-Ying Hsieh ◽  
Gaowei Chen
Keyword(s):  
Systematic Review ◽  
Autism Spectrum Disorder ◽  
Meta Analysis ◽  
Mainland China ◽  
Autism Spectrum ◽  
Spectrum Disorder ◽  
Cultural Adaptations ◽  
Low Resource ◽  
Theoretical Foundations

Parent-mediated intervention is a prominent approach to supplementing service insufficiency for the population with autism spectrum disorder, yet individuals from low-resource areas are largely under-represented among participants in the global parent-mediated intervention research. This systematic review and meta-analysis is the first to inspect the overall effects and research quality of parent-mediated interventions in mainland China, Hong Kong, and Taiwan. A total of 21 parent-mediated interventions were included in systematic review, and among them, 12 randomized controlled trials representing 964 children were analyzed in meta-synthesis. Overall, results of meta-analysis showed favorable effects of parent-mediated interventions with standardized mean difference ranging from 0.63 (social competence) to 1.00 (symptom severity) and averaged 0.76 across domains. However, the results should be interpreted with caution due to poor evidence quality as assessed in GRADE ratings. In terms of methodological quality, QualSyst evaluation showed that more than half (14/21) of the included studies were below satisfactory. Identified programs lack the capacity to be further disseminated in the Chinese societies due to the absence of solid theoretical foundations, the negligence of implementation outcomes, and the inadequacy of sophisticated cultural adaptations. This review reinforces the need for promotion and improvement of parent-mediated interventions in low-resource context (PROSPERO: CRD42019138723). Lay abstract The ideal dosage for early intensive interventions for autism spectrum disorder has been suggested to be at least 25-hour per week to reach optimal effects. However, insufficient service use and unmet needs among families with children with autism spectrum disorder are frequently reported worldwide. Helping parents to develop strategies for interaction and management of behavior through parent training has been demonstrated to be a prominent way to supplementing service insufficiency for autism spectrum disorder, which is particularly crucial in less-resourced areas. This review included 21 parent-mediated intervention programs conducted in China, the most populated developing country. Among them, we were able to combine outcome information from 12 randomized controlled trials to increase confidence in the results. We also rated the quality of methodology and evidence for all included studies, which was taken into account in making conclusions. The included programs varied in the content, length, and delivery method of trainings. Although targeting different training outcomes, the majority of the studies aimed to help parents be more competent and responsive during interactions with their child in order to decrease symptom severity. Overall, results showed sufficient evidence that parent training did improve child outcomes as intended. However, the quality of more than half (14/21) of the included studies were below satisfactory. Identified programs lack the capacity to be further transported in the Chinese societies due to the lack of solid theoretical foundations, implementation manuals, and appropriate cultural adaptations. This review reinforces the need for promotion and improvement of parent-mediated interventions in low-resource context.

Parent Education in Studies With Nonverbal and Minimally Verbal Participants With Autism Spectrum Disorder: A Systematic Review

2020 ◽  
Vol 29 (2) ◽  
pp. 890-902
Author(s):  
Lynn Kern Koegel ◽  
Katherine M. Bryan ◽  
Pumpki Lei Su ◽  
Mohini Vaidya ◽  
Stephen Camarata
Keyword(s):  
Systematic Review ◽  
Autism Spectrum Disorder ◽  
Parent Education ◽  
Autism Spectrum ◽  
Verbal Communication ◽  
Fidelity Of Implementation ◽  
Spectrum Disorder ◽  
Education Programs ◽  
Minimally Verbal ◽  
Parent Education Programs

Purpose The purpose of this systematic review was to identify parent education procedures implemented in intervention studies focused on expressive verbal communication for nonverbal (NV) or minimally verbal (MV) children with autism spectrum disorder (ASD). Parent education has been shown to be an essential component in the habilitation of individuals with ASD. Parents of individuals with ASD who are NV or MV may particularly benefit from parent education in order to provide opportunities for communication and to support their children across the life span. Method ProQuest databases were searched between the years of 1960 and 2018 to identify articles that targeted verbal communication in MV and NV individuals with ASD. A total of 1,231 were evaluated to assess whether parent education was implemented. We found 36 studies that included a parent education component. These were reviewed with regard to (a) the number of participants and participants' ages, (b) the parent education program provided, (c) the format of the parent education, (d) the duration of the parent education, (e) the measurement of parent education, and (f) the parent fidelity of implementation scores. Results The results of this analysis showed that very few studies have included a parent education component, descriptions of the parent education programs are unclear in most studies, and few studies have scored the parents' implementation of the intervention. Conclusions Currently, there is great variability in parent education programs in regard to participant age, hours provided, fidelity of implementation, format of parent education, and type of treatment used. Suggestions are made to provide both a more comprehensive description and consistent measurement of parent education programs.

Herbal Medicine as an Alternative Treatment in Autism Spectrum Disorder: A Systematic Review

2018 ◽  
Vol 19 (5) ◽  
pp. 454-459 ◽  
Author(s):  
Francielly Mourao Gasparotto ◽  
Francislaine Aparecida dos Reis Lívero ◽  
Sara Emilia Lima Tolouei Menegati ◽  
Arquimedes Gasparotto Junior
Keyword(s):  
Systematic Review ◽  
Autism Spectrum Disorder ◽  
Herbal Medicine ◽  
Alternative Treatment ◽  
Autism Spectrum ◽  
Spectrum Disorder

Diagnostic test accuracy for use of machine learning in diagnosis of autism spectrum disorder: A Systematic Review and Meta-Analysis (Preprint)

2019 ◽  
Author(s):  
Sun Jae Moon ◽  
Jin Seub Hwang ◽  
Rajesh Kana ◽  
John Torous ◽  
Jung Won Kim
Keyword(s):  
Machine Learning ◽  
Systematic Review ◽  
Autism Spectrum Disorder ◽  
Meta Analysis ◽  
Learning Algorithms ◽  
Structural Mri ◽  
Autism Spectrum ◽  
Machine Learning Algorithms ◽  
Spectrum Disorder ◽  
Test Accuracy

BACKGROUND Over the recent years, machine learning algorithms have been more widely and increasingly applied in biomedical fields. In particular, its application has been drawing more attention in the field of psychiatry, for instance, as diagnostic tests/tools for autism spectrum disorder. However, given its complexity and potential clinical implications, there is ongoing need for further research on its accuracy. OBJECTIVE The current study aims to summarize the evidence for the accuracy of use of machine learning algorithms in diagnosing autism spectrum disorder (ASD) through systematic review and meta-analysis. METHODS MEDLINE, Embase, CINAHL Complete (with OpenDissertations), PsyINFO and IEEE Xplore Digital Library databases were searched on November 28th, 2018. Studies, which used a machine learning algorithm partially or fully in classifying ASD from controls and provided accuracy measures, were included in our analysis. Bivariate random effects model was applied to the pooled data in meta-analysis. Subgroup analysis was used to investigate and resolve the source of heterogeneity between studies. True-positive, false-positive, false negative and true-negative values from individual studies were used to calculate the pooled sensitivity and specificity values, draw SROC curves, and obtain area under the curve (AUC) and partial AUC. RESULTS A total of 43 studies were included for the final analysis, of which meta-analysis was performed on 40 studies (53 samples with 12,128 participants). A structural MRI subgroup meta-analysis (12 samples with 1,776 participants) showed the sensitivity at 0.83 (95% CI-0.76 to 0.89), specificity at 0.84 (95% CI -0.74 to 0.91), and AUC/pAUC at 0.90/0.83. An fMRI/deep neural network (DNN) subgroup meta-analysis (five samples with 1,345 participants) showed the sensitivity at 0.69 (95% CI- 0.62 to 0.75), the specificity at 0.66 (95% CI -0.61 to 0.70), and AUC/pAUC at 0.71/0.67. CONCLUSIONS Machine learning algorithms that used structural MRI features in diagnosis of ASD were shown to have accuracy that is similar to currently used diagnostic tools.

scholarly journals Scalp acupuncture for Autism spectrum disorder: a systematic review

2020 ◽  
Vol 440 ◽  
pp. 042094
Author(s):  
Huaimin Yi ◽  
Yajun Han ◽  
Mengxin Li ◽  
Jiong Wang ◽  
Liping Yang
Keyword(s):  
Systematic Review ◽  
Autism Spectrum Disorder ◽  
Autism Spectrum ◽  
Scalp Acupuncture ◽  
Spectrum Disorder
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