Autism Can Be Predicted From Routine Developmental Surveillance Data

Autism spectrum disorder (ASD) can be predicted from routine developmental surveillance data, according to a study published online Jan. 10 in JAMA Network Open.

Guy Amit, Ph.D., from the KI Research Institute in Kfar Malal, Israel, and colleagues conducted a retrospective cohort study using nationwide data of developmental assessments conducted between Jan. 1, 2014, and Jan. 17, 2023, to develop predictive models for ASD. The study included all 1,187,397 children who were assessed at the maternal child health clinics that perform routine developmental surveillance of children from birth to 6 years of age.

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