Publication date: Jul 03, 2025
The rising rate of autism spectrum disorder (ASD) prevalence worldwide demands new screening algorithms to make the process of diagnosis more effective. General practitioners and pediatricians are well-positioned to screen all children aged 16 to 30 months during regular check-ups. In the research, the original algorithm for early autism screening in Polish primary care settings was proposed and tested. Based on the literature review, the original algorithm of early autism screening employing observational tool was developed and tested. Personal data and M-CHAT-R/F were collected online. In the second phase, chosen patients participated in the Screening Tool for Autism in Toddlers and Young Children (STAT). Children who scored positive were referred for the comprehensive ASD evaluation. Normal distribution was analyzed with the use of the Shapiro-Wilk test. Chosen variables were compared using the U-Mann Whitney (nonparametric data) or Student’s t-test (parametric data). The Spearman’s rank correlation coefficient was calculated to analyze the strength of association between selected continuous variables. The threshold of the two-sided statistical significance was set at p
Open Access PDF
Semantics
| Type | Source | Name |
|---|---|---|
| disease | MESH | autism |
| disease | MESH | autism spectrum disorder |
| pathway | REACTOME | Reproduction |
| drug | DRUGBANK | Coenzyme M |