How Screening and Diagnostic Tools Shape Autism Prevalence in School-Aged Children: A Bibliometric-Systematic Review (2015-2025).
Autism counts shift when screeners and tests are not culturally tuned—check the tool before you trust the number.
01Research in Context
What this study did
Zamir and team read every paper on autism screening and diagnosis from 2015 to 2025. They counted which tools were used and where. They also noted if tools were translated or changed for local culture.
The goal was to see how tool choice changes the number of kids labeled autistic around the world.
What they found
Two tools rule the world. The SCQ and CAST are the top screeners. The ADOS and ADI-R are the top diagnostic tests. Yet many countries still lack checked translations or local norms.
When a tool is used without cultural tuning, prevalence numbers swing up or down. Bad tools give bad counts.
How this fits with other research
Root et al. (2017) meta-analysis backs the SCQ love: it works, but only if you pick the Lifetime form and skip kids under four. Zamir’s review folds this warning in.
Warren et al. (2012) shows the SCQ alone mis-labels kids with other brain issues. Zamir agrees and adds that culture can add even more noise.
Roman-Urrestarazu et al. (2021) in Chile trimmed the Q-CHAT to ten items and still caught toddlers. Zamir extends the point: short, local versions can work, but each needs its own proof.
Fombonne et al. (2012) found the Spanish SRS shone in Mexican schools. Zamir’s map shows such success stories are rare; most of the globe still runs un-checked tools.
Why it matters
Before you quote a prevalence rate, ask what tool was used and if it was validated for that language and age. If the answer is no, treat the number as a rough guess. Push for local norming studies or pick a tool that already has them. Your reports, funding bids, and policy talks will stand on firmer ground.
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02At a glance
03Original 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 : official journal of the International Society for Autism Research, 2026 · doi:10.1002/aur.70196