Systematic review evaluates the M-CHAT-R/F screening tool's accuracy in comparison to others, suggesting improvements needed.
Objective Early screening for autism spectrum disorder (ASD) is critical for timely intervention, making the Modified Checklist for Autism in Toddlers, Revised with Follow-Up (M-CHAT-R/F) a widely adopted tool globally. However, a recent systematic synthesis of its comparative accuracy is lacking. This review aimed to evaluate the screening accuracy of the M-CHAT-R/F against other ASD screening instruments. Design A systematic review was conducted in accordance with Preferred Reporting Items for Systematic Reviews and Meta-Analyses guidelines. A narrative synthesis was employed to integrate findings across diverse study designs and methodological quality was assessed using the Joanna Briggs Institute checklist. Eligibility criteria Peer-reviewed, English-language observational studies published between January 2020 and October 2025 that compared the accuracy metrics of the M-CHAT-R/F with alternative screening tools. Information sources Scopus, PubMed, ScienceDirect and ProQuest. Results From 172 identified articles, six high-quality studies encompassing 12 633 participants aged 12–48 months were analysed. The synthesis revealed a complex performance profile for the M-CHAT-R/F. While its sensitivity for detecting potential cases was highly inconsistent, its negative predictive value remained consistently high, reliably identifying children who screened negative. Conversely, the tool demonstrated variable specificity and a persistently low positive predictive value, indicating a substantial false-positive burden and reduced confidence in positive results. Furthermore, the M-CHAT-R/F’s accuracy was highly age-dependent, with performance degrading outside the optimal 16–30-month window compared with other specialised tools. Conclusions The M-CHAT-R/F may not be an optimal instrument in every clinical setting. Its clinical utility may be limited by variable sensitivity and a lower positive predictive value, potentially creating a higher false-positive burden. Clinicians and health systems should consider adopting age-specific, tiered screening protocols to improve diagnostic efficiency and better allocate intervention resources.
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Tsen et al. (2026) studied this question.
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