How Screening and Diagnostic Tools Shape Autism Prevalence in School‐Aged Children: A Bibliometric‐Systematic Review (2015–2025)

Autism spectrum disorder (ASD) prevalence estimates vary widely across countries and over time, partly due to differences in the screening and diagnostic tools used. This study combined bibliometric analysis and systematic review methods to examine global publication trends and evaluate the use of standardized assessment tools in ASD prevalence studies involving school-aged children (typically 6-12 years). A bibliometric search of the Scopus database (2015-2025) identified 107 publications, which were analyzed for citation patterns, research themes, and geographic distribution. Of these, 18 studies met systematic review inclusion criteria, reporting ASD prevalence in the general population and high-risk samples across diverse regions. The most frequently used screening tools were the Social Communication Questionnaire (SCQ) and Childhood Autism Spectrum Test (CAST), while gold-standard diagnostic tools such as the Autism Diagnostic Observation Schedule (ADOS/ADOS-2) and Autism Diagnostic Interview-Revised (ADI-R) were common for diagnostic confirmation. However, psychometric performance and cultural adaptation processes varied, and many tools were not validated for the study population. Tool selection and adaptation were found to directly influence prevalence estimates, with implications for research comparability and policy planning. Findings highlight the need for culturally validated instruments, standardized sampling approaches, and increased representation of low- and middle-income countries in ASD prevalence research to ensure equitable and accurate identification.

Authors

Institutions

Publication Details

Journal
Autism Research
Published
2026-02-12
DOI
https://doi.org/10.1002/aur.70196
Primary Topic
Autism Spectrum Disorder Research
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

How Screening and Diagnostic Tools Shape Autism Prevalence in School‐Aged Children: A Bibliometric‐Systematic Review (2015–2025)

Nizam Baharom, Noor Aziella Mohd Nayan, Tengku Amatullah Madeehah Tengku Mohd, Ahmad Zamir Che Daud et al.
Autism Research
Autism Spectrum Disorder Research
article

How Screening and Diagnostic Tools Shape Autism Prevalence in School‐Aged Children: A Bibliometric‐Systematic Review (2015–2025)

Nizam Baharom, Noor Aziella Mohd Nayan, Tengku Amatullah Madeehah Tengku Mohd, Ahmad Zamir Che Daud, Khairil Anuar Md Isa, Kartini Ilias, Norazlin Kamal Nor, Hasnah Toran, Sazlina Kamaralzaman, Wai Wai Yang
article en

Abstract

Autism spectrum disorder (ASD) prevalence estimates vary widely across countries and over time, partly due to differences in the screening and diagnostic tools used. This study combined bibliometric analysis and systematic review methods to examine global publication trends and evaluate the use of standardized assessment tools in ASD prevalence studies involving school-aged children (typically 6-12 years). A bibliometric search of the Scopus database (2015-2025) identified 107 publications, which were analyzed for citation patterns, research themes, and geographic distribution. Of these, 18 studies met systematic review inclusion criteria, reporting ASD prevalence in the general population and high-risk samples across diverse regions. The most frequently used screening tools were the Social Communication Questionnaire (SCQ) and Childhood Autism Spectrum Test (CAST), while gold-standard diagnostic tools such as the Autism Diagnostic Observation Schedule (ADOS/ADOS-2) and Autism Diagnostic Interview-Revised (ADI-R) were common for diagnostic confirmation. However, psychometric performance and cultural adaptation processes varied, and many tools were not validated for the study population. Tool selection and adaptation were found to directly influence prevalence estimates, with implications for research comparability and policy planning. Findings highlight the need for culturally validated instruments, standardized sampling approaches, and increased representation of low- and middle-income countries in ASD prevalence research to ensure equitable and accurate identification.

Autism Research
Universiti Sains Islam Malaysia (MY), Hospital Kuala Lumpur (MY), University Kebangsaan Malaysia Medical Centre (MY), Universiti Teknologi MARA (MY), National University of Malaysia (MY)
Reduced inequalities
Openalex Percentile: Top 59%
Autism Spectrum Disorder Research
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.