Observational studyBMJ paediatrics open2021
Quantitative Checklist for Autism in Toddlers (Q-CHAT). A population screening study with follow-up: the case for multiple time-point screening for autism.
Observational study in BMJ paediatrics open, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 28 papers, 1 of them a synthesis that pooled 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.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
28 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Artificial Intelligence Methods in Early Detection of Autism Spectrum Disorder: A DSM-5 Criterion-Based Systematic Review.Autism research : official journal of the International Society for Autism Research · 2026Pooled it
- NeuroCypher ASD: Machine Learning with Knowledge Graph-Based Representation for ASD Screening in Toddlers.Journal of healthcare informatics research · 2026Article
- The Empathy Quotient and Systemising Quotient for Toddlers: Development and Validation.Journal of autism and developmental disorders · 2026Article
- From microbes to milestones: Gut bacterial abundances and functional pathways associate with neurodevelopment following preterm birth.Gut microbiology · 2026Article
- Neonatal amygdala microstructure and structural connectivity are associated with autistic traits at 2 years of age.Developmental cognitive neuroscience · 2026Article
- Investigating the Predictive Validity of the Quantitative Checklist for Autism in Toddlers and the Autism Diagnostic Observation Schedule-2 in Children at Elevated Likelihood for Autism.Journal of autism and developmental disorders · 2026Article
- Perinatal brain growth and autistic traits in toddlers.Translational psychiatry · 2025Article
- Article
- Polygenic and developmental profiles of autism differ by age at diagnosis.medRxiv : the preprint server for health sciences · 2025Article
- The Use of Griffiths III in the Appraisal of the Developmental Profile in Autism: A Systematic Search and Review.Brain sciences · 2025Review
- Clinical, socio-demographic, and parental correlates of early autism traits in a community cohort of toddlers.Scientific reports · 2024Article
- Fetal brain growth and infant autistic traits.Molecular autism · 2024Article
- Neonatal brain dynamic functional connectivity in term and preterm infants and its association with early childhood neurodevelopment.Nature communications · 2024Article
- Article
- A machine learning model based on CHAT-23 for early screening of autism in Chinese children.Frontiers in pediatrics · 2024Article
- Is the association between mothers' autistic traits and childhood autistic traits moderated by maternal pre-pregnancy body mass index?Molecular autism · 2023Article
- Do Autism-Specific and General Developmental Screens Have Complementary Clinical Value?Journal of autism and developmental disorders · 2023Article
- Global motion processing in infants' visual cortex and the emergence of autism.Communications biology · 2023Article
- Mini-puberty testosterone and infant autistic traits.Frontiers in endocrinology · 2023Article
- Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
8 authors.
Funding
Abstract
Objective: This is a prospective population screening study for autism in toddlers aged 18-30 months old using the Quantitative Checklist for Autism in Toddlers (Q-CHAT), with follow-up at age 4. Design: Observational study. Setting: Luton, Bedfordshire and Cambridgeshire in the UK. Participants: 13 070 toddlers registered on the Child Health Surveillance Database between March 2008 and April 2009, with follow-up at age 4; 3770 (29%) were screened for autism at 18-30 months using the Q-CHAT and the Childhood Autism Spectrum Test (CAST) at follow-up at age 4. Interventions: A stratified sample across the Q-CHAT score distribution was invited for diagnostic assessment (phase 1). The 4-year follow-up included the CAST and the Checklist for Referral (CFR). All with CAST ≥15, phase 1 diagnostic assessment or with developmental concerns on the CFR were invited for diagnostic assessment (phase 2). Standardised diagnostic assessment at both time-points was conducted to establish the test accuracy of the Q-CHAT. Main outcome measures: Consensus diagnostic outcome at phase 1 and phase 2. Results: At phase 1, 3770 Q-CHATs were returned (29% response) and 121 undertook diagnostic assessment, of whom 11 met the criteria for autism. All 11 screened positive on the Q-CHAT. The positive predictive value (PPV) at a cut-point of 39 was 17% (95% CI 8% to 31%). At phase 2, 2005 of 3472 CASTs and CFRs were returned (58% response). 159 underwent diagnostic assessment, including 82 assessed in phase 1. All children meeting the criteria for autism identified via the Q-CHAT at phase 1 also met the criteria at phase 2. The PPV was 28% (95% CI 15% to 46%) after phase 1 and phase 2. Conclusions: The Q-CHAT can be used at 18-30 months to identify autism and enable accelerated referral for diagnostic assessment. The low PPV suggests that for every true positive there would, however, be ~4-5 false positives. At follow-up, new cases were identified, illustrating the need for continued surveillance and rescreening at multiple time-points using developmentally sensitive instruments. Not all children who later receive a diagnosis of autism are detectable during the toddler period.
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