Evidence map›Paper›PMID 42371301›Full record

ArticleJournal of autism and developmental disorders2026

Predicting 18-month M-CHAT-R/F With PediaTrac

Ryan M Krebs, Angela D Staples, Jin Bo, Trivellore Raghunathan, Patricia Berglund, Seth Warschausky, Alissa Huth-Bocks, H Gerry Taylor, Angela Lukomski, Renee Lajiness-O'Neill

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Article in Journal of autism and developmental disorders, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

What it found

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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

10 authors.

Ryan M KrebsPsychology Department, Eastern Michigan University, Ypsilanti, MI, USA.
Angela D StaplesPsychology Department, Eastern Michigan University, Ypsilanti, MI, USA.
Jin BoPsychology Department, Eastern Michigan University, Ypsilanti, MI, USA.
Trivellore RaghunathanInstitute of Social Research, University of Michigan, Ann Arbor, MI, USA.
Patricia BerglundInstitute of Social Research, University of Michigan, Ann Arbor, MI, USA.
Seth WarschauskyPhysical Medicine and Rehabilitation, University of Michigan, Ann Arbor, MI, USA.
Alissa Huth-BocksMerrill Palmer Skillman Institute, Wayne State University, Detroit, MI, USA.
H Gerry TaylorCase Western Reserve University, Cleveland, OH, USA.
Angela LukomskiSchool of Nursing, Eastern Michigan University, Ypsilanti, MI, USA.
Renee Lajiness-O'NeillPsychology Department, Eastern Michigan University, Ypsilanti, MI, USA. rel177@pitt.edu.ORCID http://orcid.org/0000-0002-2448-6215

Funding

National Institute of Child Health and Human Development R01HD095957
6 · The paper itself

Abstract

purposeThis study examined whether caregiver-reported indices of motor and social/communication/cognition in infancy could predict the likelihood of autism spectrum disorder (ASD) at 18 months, as measured by the Modified Checklist for Autism in Toddlers, Revised with Follow-Up (M-CHAT-R/F).

methodsParticipants included 415 caregiver-infant dyads (45% female; 170 preterm) from the longitudinal PediaTrac™ v3.0 study that tracked infant and toddler development from birth to 18 months. Cross-sectional latent traits of motor (MOT) and social/communication/cognition (SCG) ability at 9 and 12 months and longitudinal trajectory parameters from birth to 12 months served as predictor variables of later ASD likelihood. Hierarchical multiple regression models examined whether cross-sectional abilities or longitudinal trajectories better predicted M-CHAT-R/F scores at 18 months, controlling for preterm status × male sex, maternal education, maternal age, and Area Deprivation Index.

resultsLongitudinal trajectories accounted for greater variance in M-CHAT-R/F scores than cross-sectional measures. Lower developmental slopes in MOT and SCG predicted higher autism likelihood scores at 18 months, and higher neighborhood socioeconomic disadvantage was the most robust predictor of later ASD likelihood (among all variables in this study).

conclusionFindings support PediaTrac's validity as a caregiver-reported measure for identifying early developmental patterns linked to later autism likelihood. Integrating developmental trajectories with socioeconomic contextual factors would improve early detection and guide intervention development.

Indexed as

Autism riskDevelopmentInfantPediaTracScreeningSurveillance

Identifiers

PMID42371301

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.