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Review
. 2020 Mar 19;10(3):180.
doi: 10.3390/brainsci10030180.

Systematic Review of Level 1 and Level 2 Screening Tools for Autism Spectrum Disorders in Toddlers

Serena Petrocchi  1   2   3 , Annalisa Levante  2   4 , Flavia Lecciso  2   4
Affiliations
Review

Systematic Review of Level 1 and Level 2 Screening Tools for Autism Spectrum Disorders in Toddlers

Serena Petrocchi et al. Brain Sci. .

Abstract

The present study provides a systematic review of level 1 and level 2 screening tools for the early detection of autism under 24 months of age and an evaluation of the psychometric and measurement properties of their studies. Methods: Seven databases (e.g., Scopus, EBSCOhost Research Database) were screened and experts in the autism spectrum disorders (ASD) field were questioned; Preferred Reporting Items for Systematic review and Meta-Analysis (PRISMA) guidelines and Consensus-based Standard for the selection of health Measurement INstruments (COSMIN) checklist were applied. Results: the study included 52 papers and 16 measures; most of them were questionnaires, and the Modified-CHecklist for Autism in Toddler (M-CHAT) was the most extensively tested. The measures' strengths (analytical evaluation of methodological quality according to COSMIN) and limitations (in term of Negative Predictive Value, Positive Predictive Value, sensitivity, and specificity) were described; the quality of the studies, assessed with the application of the COSMIN checklist, highlighted the necessity of further validation studies for all the measures. According to COSMIN results, the M-CHAT, First Years Inventory (FYI), and Quantitative-CHecklist for Autism in Toddler (Q-CHAT) seem to be promising measures that may be applied systematically by health professionals in the future.

Keywords: COSMIN; PRISMA; autism; level 1 and level 2 screening tools; systematic review.

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Conflict of interest statement

The authors declare no conflict of interest.

Figures

Figure 1
Figure 1
PRISMA flow diagram.
See this image and copyright information in PMC

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