Comparing Diagnostic Outcomes of Autism Spectrum Disorder Using DSM-IV-TR and DSM-5 Criteria.

The team compared the old DSM-IV-TR autism rules with the new DSM-5 rules. They wanted to see which set worked better at spotting the same kids. Preschoolers with autism already had diagnoses under both manuals.

DSM-5 came out on top for clean data and stable scores. Yet it also picks out a slightly different group of children. Some kids gain the label; others lose it.

Yaylaci et al. (2017) ran the same check and counted a 19% drop in diagnoses under DSM-5. Peters et al. (2020) saw the same pattern in babies and toddlers.

Whitehouse et al. (2014) pooled earlier studies and warned of a 31% cut, especially wiping out PDD-NOS. The new paper agrees on the drop but adds proof that DSM-5 is psychometrically tighter.

Together the picture is clear: fewer children qualify, yet the ones who do are measured more reliably.

If you re-test a child who was diagnosed years ago, be ready for a possible switch. Update your intake forms to capture both old and new criteria. Note any lost diagnosis in your treatment plan and help families find other services. A tighter measure is good science, but it can shrink your caseload.