Evidence map›Paper›PMID 40419801›Full record

ArticleNature human behaviour2025

Large-scale examination of early-age sex differences in neurotypical toddlers and those with autism spectrum disorder or other developmental conditions.

Sanaz Nazari, Sara Ramos Cabo, Srinivasa Nalabolu, Cynthia Carter Barnes, Charlene Andreason, Javad Zahiri, Ahtziry Esquivel, Steven J Arias, Andrea Grzybowski, Michael V Lombardo and 3 more

Abstract read
In one paragraph

Article in Nature human behaviour, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed, 2 pooled it
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

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

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.

3 · Its place in the literature

Who cites it

5 citing papers in PubMed, 2 syntheses or guidelines pooled it.

  1. Pooled it
  2. Pooled it
  3. Article
  4. Article
  5. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

13 authors.

Sanaz NazariDepartment of Neurosciences and Autism Center of Excellence, University of California, San Diego, La Jolla, CA, USA.
Sara Ramos CaboDepartment of Neurosciences and Autism Center of Excellence, University of California, San Diego, La Jolla, CA, USA.ORCID http://orcid.org/0000-0001-7455-6472
Srinivasa NalaboluDepartment of Neurosciences and Autism Center of Excellence, University of California, San Diego, La Jolla, CA, USA.
Cynthia Carter BarnesDepartment of Neurosciences and Autism Center of Excellence, University of California, San Diego, La Jolla, CA, USA.
Charlene AndreasonDepartment of Neurosciences and Autism Center of Excellence, University of California, San Diego, La Jolla, CA, USA.
Javad ZahiriDepartment of Neurosciences and Autism Center of Excellence, University of California, San Diego, La Jolla, CA, USA.
Ahtziry EsquivelDepartment of Neurosciences and Autism Center of Excellence, University of California, San Diego, La Jolla, CA, USA.
Steven J AriasDepartment of Neurosciences and Autism Center of Excellence, University of California, San Diego, La Jolla, CA, USA.
Andrea GrzybowskiDepartment of Neurosciences and Autism Center of Excellence, University of California, San Diego, La Jolla, CA, USA.
Michael V LombardoLaboratory for Autism and Neurodevelopmental Disorders, Center for Neuroscience and Cognitive Systems, Istituto Italiano di Tecnologia, Rovereto, Italy.
Linda LopezDepartment of Neurosciences and Autism Center of Excellence, University of California, San Diego, La Jolla, CA, USA.
Eric Courchesne *Department of Neurosciences and Autism Center of Excellence, University of California, San Diego, La Jolla, CA, USA. ecourchesne@health.ucsd.edu.ORCID http://orcid.org/0000-0002-3772-5799
Karen Pierce *Department of Neurosciences and Autism Center of Excellence, University of California, San Diego, La Jolla, CA, USA. kpierce@health.ucsd.edu.ORCID http://orcid.org/0000-0001-7690-1030

Funding

TARGETING GENETIC PATHWAYS FOR BRAIN OVERGROWTH IN AUTISM SPECTRUM DISORDERSP50MH081755 · NIMH · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI COURCHESNE, ERIC · 2007 to 2013
$10.3M
1/2-Testing the impact of early screening on the long-term outcomes of children with ASDR01MH121595 · NIMH · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI PIERCE, KAREN L · 2020 to 2023
$4.9M
Discovering Eye Tracking Biomarkers of ASD with Diagnostic and Prognostic PowerR01MH118879 · NIMH · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI PIERCE, KAREN L · 2019 to 2023
$3.7M
Studying the Biology and Behavior of Autism at 1-Year: The Well-Baby Check-Up AppR01MH080134 · NIMH · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI PIERCE, KAREN L · 2008 to 2017
$3.3M
Developmental Functional Genomics in ASD ToddlersR01MH110558 · NIMH · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI COURCHESNE, ERIC, LEWIS, NATHAN ENOCH · 2016 to 2020
$3.0M
Discovering Neural Biomarkers of Language and Social Development in ASD ToddlersR01DC016385 · NIDCD · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI COURCHESNE, ERIC, PIERCE, KAREN L · 2017 to 2021
$3.0M
THE LIMBIC MOTOR INTERFACE IN CONDITIONED AVOIDANCEF32MH010446 · NIMH · UNIVERSITY OF ILLINOIS URBANA-CHAMPAIGN · PI WOLSKE, MARTIN B · 1993 to 1995
–
NIDCD NIH HHS R01 DC016385NIMH NIH HHS F32 MH010446NIMH NIH HHS P50 MH081755NIMH NIH HHS R01 MH080134NIMH NIH HHS R01 MH110558NIMH NIH HHS R01 MH118879NIMH NIH HHS R01 MH121595U.S. Department of Health & Human Services | National Institutes of Health (NIH) R01MH118879
6 · The paper itself

Abstract

Autism spectrum disorder (ASD) is clinically heterogeneous, with ongoing debates about phenotypic differences between boys and girls. Understanding these differences, particularly at the age of first symptom onset, is critical for advancing early detection, uncovering aetiological mechanisms and improving interventions. Leveraging the Get SET Early programme, we analysed a cohort of 2,618 toddlers (mean age: ~27 months) through cross-sectional, longitudinal and clustering analyses, performed using statistical and machine learning approaches, to assess sex differences in groups with ASD, developmental delay and typical development across standardized and experimental measures, including eye tracking. The results revealed no significant sex differences in toddlers with ASD across 17 of 18 measures, including symptom severity based on the Autism Diagnostic Observation Schedule, receptive and expressive language based on the Mullen Scales of Early Learning and social attention based on the GeoPref eye-tracking test. In contrast, girls with typical development outperformed boys on several measures. Subtyping analyses stratifying toddlers into low, medium and high clusters similarly showed virtually no sex differences in ASD. Overall, our findings suggest that phenotypic sex differences are minimal or non-existent in those with ASD at the time of first symptom onset.

Indexed as

Autism Spectrum DisorderChild DevelopmentDevelopmental DisabilitiesSex CharacteristicsChild, PreschoolCross-Sectional StudiesEye-Tracking TechnologyFemaleHumansInfantLongitudinal StudiesMachine LearningMaleSex Factors

Identifiers

PMID40419801
PMCPMC12367553

What Socratic holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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 Socratic graph.