Diagnostic study reveals improved specificity of DSM-5-based ADI-R algorithms in non-phrase speech children, indicating more accurate autism evaluations.
In this large sample aggregated from US clinical-research sites, the original ADI-R algorithm showed adequate diagnostic validity, with poorer specificity among individuals without phrase speech. The revised DSM-5-based algorithms introduced here performed comparably to the original algorithms, with improved specificity in individuals without phrase speech. These revised algorithms offer an alternative method for summarizing ASD symptoms in a DSM-5-compatible manner.
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Lampinen et al. (2025) studied this question.