ArticleJAMA2023
Eye-Tracking-Based Measurement of Social Visual Engagement Compared With Expert Clinical Diagnosis of Autism.
Article in JAMA, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to 4 registered trials, which are not on this map. Cited by 45 papers, 6 of them syntheses 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.
Prospective, Pivotal, Double-Blinded Within-subject Comparison of the Marcus Autism Center Investigational Device and Current Best Practice Clinical Diagnosis For Autism Spectrum Disorder in Pediatric Subjects 16-30 Months of Age
A Repeatability and Reproducibility Study of the EarliPoint™ Device in Pediatric Subjects 16-30 Months of Age
A Prospective, Multi-Center, Longitudinal Study of Dynamic Quantification of Social-Visual Engagement (DQSVE) For Treatment Monitoring In Children With Autism Spectrum Disorder (ASD).
A Prospective, Multi-Center Study of Dynamic Quantification of Social-Visual Engagement (DQSVE) in Autism Spectrum Disorder (ASD): Diagnosis and Assessment For Children
Who cites it
45 citing papers in PubMed, 6 syntheses or guidelines pooled it, 64 citations in OpenAlex.
- Data-Driven Approaches for Autism Detection: A Comprehensive Review of Machine Learning Algorithms and Datasets.International journal of developmental neuroscience : the official journal of the International Society for Developmental Neuroscience · 2026Pooled it
- Early Identification of Autism Using Cry Analysis: A Systematic Review and Meta-analysis of Retrospective and Prospective Studies.Journal of autism and developmental disorders · 2026Pooled it
- The Diagnostic Potential of Eye Tracking to Detect Autism Spectrum Disorder in Children: A Systematic Review.Medical sciences (Basel, Switzerland) · 2026Pooled it
- Eye Tracking as a Treatment Monitoring Tool for Autism: A Multilevel Meta-Analysis.Autism research : official journal of the International Society for Autism Research · 2025Pooled it
- Presymptomatic Biological, Structural, and Functional Diagnostic Biomarkers of Autism Spectrum Disorder.Journal of neurochemistry · 2025Pooled it
- Mapping autism's research landscape: trends in autism screening and its alignment with sustainable development goals.Frontiers in psychiatry · 2023Pooled it
- Exploring the Potential of Parent Report for Autism/Developmental Screening at the 18-Month Visit.Journal of autism and developmental disorders · 2026Article
- Automatic measurement of social gaze during naturalistic conversations in autism.Journal of psychiatric research · 2026Article
- Improving Autism Diagnosis Across Ages Using Eye-Tracking and Temporal Transformer Models.Sensors (Basel, Switzerland) · 2026Article
- Developing an integrated algorithm to support autism diagnostic decisions: Model performance and statistical fairness.JCPP advances · 2026Article
- Early Detection Methods for Autism Spectrum Disorder: From Clinical Screening to Multimodal AI.Diagnostics (Basel, Switzerland) · 2026Review
- Home-based eye tracking for early autism screening: a scoping review of approaches, evidence, and implementation challenges.BMC psychiatry · 2026Article
- Development and Validation of a Short Version Eye-Tracking Paradigm for the Screening and Diagnosis of Autism Spectrum Disorder in Qatar.Autism research : official journal of the International Society for Autism Research · 2026Article
- Digital Mental Health: A Narrative Review of FDA-Authorized Products for Psychiatric Treatment and Diagnostic Support.Brain sciences · 2026Review
- Towards the ecological automated measurement of joint attention: Development of an interactive eye-tracking battery for joint attention in children with and without autism.Behavior research methods · 2026Article
- Autism outcomes and neurobehavioural markers in young children born to mothers with HIV in Kenya: a protocol for the Alama project.BMJ open · 2026Article
- Oxytocin receptor gene expression in the basal forebrain in autism: association with receptor binding levels and single nucleotide polymorphisms.Journal of neurodevelopmental disorders · 2026Article
- Latent trajectories of early social communication development are associated with autism diagnosis and language outcomes.Frontiers in child and adolescent psychiatry · 2026Article
- A naturalistic, non-invasive method for capturing biometric data during autism evaluations.Frontiers in psychiatry · 2026Article
- AI-supported early autism identification as public health infrastructure: economic implications for the United States using a scenario-based economic model.Frontiers in public health · 2026Article
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Authors and funding
14 authors at 7 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Importance: In the US, children with signs of autism often experience more than 1 year of delay before diagnosis and often experience longer delays if they are from racially, ethnically, or economically disadvantaged backgrounds. Most diagnoses are also received without use of standardized diagnostic instruments. To aid in early autism diagnosis, eye-tracking measurement of social visual engagement has shown potential as a performance-based biomarker. Objective: To evaluate the performance of eye-tracking measurement of social visual engagement (index test) relative to expert clinical diagnosis in young children referred to specialty autism clinics. Design, Setting, and Participants: In this study of 16- to 30-month-old children enrolled at 6 US specialty centers from April 2018 through May 2019, staff blind to clinical diagnoses used automated devices to measure eye-tracking-based social visual engagement. Expert clinical diagnoses were made using best practice standardized protocols by specialists blind to index test results. This study was completed in a 1-day protocol for each participant. Main Outcomes and Measures: Primary outcome measures were test sensitivity and specificity relative to expert clinical diagnosis. Secondary outcome measures were test correlations with expert clinical assessments of social disability, verbal ability, and nonverbal cognitive ability. Results: Eye-tracking measurement of social visual engagement was successful in 475 (95.2%) of the 499 enrolled children (mean [SD] age, 24.1 [4.4] months; 38 [8.0%] were Asian; 37 [7.8%], Black; 352 [74.1%], White; 44 [9.3%], other; and 68 [14.3%], Hispanic). By expert clinical diagnosis, 221 children (46.5%) had autism and 254 (53.5%) did not. In all children, measurement of social visual engagement had sensitivity of 71.0% (95% CI, 64.7% to 76.6%) and specificity of 80.7% (95% CI, 75.4% to 85.1%). In the subgroup of 335 children whose autism diagnosis was certain, sensitivity was 78.0% (95% CI, 70.7% to 83.9%) and specificity was 85.4% (95% CI, 79.5% to 89.8%). Eye-tracking test results correlated with expert clinical assessments of individual levels of social disability (r = -0.75 [95% CI, -0.79 to -0.71]), verbal ability (r = 0.65 [95% CI, 0.59 to 0.70]), and nonverbal cognitive ability (r = 0.65 [95% CI, 0.59 to 0.70]). Conclusions and Relevance: In 16- to 30-month-old children referred to specialty clinics, eye-tracking-based measurement of social visual engagement was predictive of autism diagnoses by clinical experts. Further evaluation of this test's role in early diagnosis and assessment of autism in routine specialty clinic practice is warranted. Trial Registration: ClinicalTrials.gov Identifier: NCT03469986.
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Registered trials
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.