Evidence map›Paper›PMID 40653186›Full record

ReviewBiological psychiatry2026

Mitigating Sex-Related Biases to Elucidate the Autism Phenotype.

Catherine A Burrows, Jed T Elison, Joseph Piven

Abstract readReview
In one paragraph

Review in Biological psychiatry, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–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

1 citing paper in PubMed.

  1. 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

3 authors.

Catherine A BurrowsDepartment of Pediatrics, University of Minnesota, Minneapolis, Minnesota. Electronic address: cburrows@umn.edu.
Jed T ElisonDepartment of Pediatrics, University of Minnesota, Minneapolis, Minnesota; Institute of Child Development, University of Minnesota, Minneapolis, Minnesota.
Joseph PivenCarolina Institute for Developmental Disabilities and Department of Psychiatry, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina.

Funding

Cellular and molecular mechanisms governing cortical surface area overgrowth in iPSC-derived neural cells from longitudinally characterized individuals with autismR01HD055741 · NICHD · UNIV OF NORTH CAROLINA CHAPEL HILL · PI Joseph Piven · 2007 to 2026
$52.6M
MRI-Based Presymptomatic Prediction of ASD, and Early Infant to School-Age Brain-Behavior Trajectories, Mechanisms, and Related OutcomesR01MH118362 · NIMH · WASHINGTON UNIVERSITY · PI John R Pruett · 2019 to 2026
$16.3M
Parsing early emerging heterogeneity related to autism spectrum disorderR01MH115046 · NIMH · UNIVERSITY OF MINNESOTA · PI ELISON, JED THOMAS, JACOB, SUMA · 2019 to 2023
$3.8M
Towards equitable early identification of autism spectrum disorders in femalesK23HD112507 · NICHD · UNIVERSITY OF MINNESOTA · PI Catherine Ann Burrows · 2023 to 2026
$459k
NICHD NIH HHS K23 HD112507NICHD NIH HHS R01 HD055741NIMH NIH HHS R01 MH115046NIMH NIH HHS R01 MH118362
6 · The paper itself

Abstract

Autism spectrum disorder (ASD) is commonly considered a male-dominant condition, with epidemiological estimates finding that approximately 3 to 4 males are diagnosed for every female. An overwhelming majority of the studies used to establish this sex ratio were conducted with participants ascertained based on having first met clinical criteria, which may obscure qualitative differences between males and females and omits females who do not meet male-biased criteria. Our recently published data, which used a prospectively identified sample of children at high familial likelihood for ASD, corrected for sex-based measurement bias, and used data-driven groupings of behavior over time, were well suited to address this issue and suggest that the male:female ratio of autism-related concerns is closer to 1:1. In this review, we propose that research is needed that characterizes the autism phenotype, or behavioral expression of underlying genetic variation in autism-relevant traits. We describe shifts in sample ascertainment, methodological rigor, and the scope of traits examined that may help elucidate the autism phenotype. A research program that focuses on delineating the genetically related, biological determinants of clinical disorders has the potential to reveal the full expression of underlying genetic liability for ASD and improve early identification of ASD-related concerns in females.

Indexed as

Autism Spectrum DisorderSex CharacteristicsChildFemaleHumansMalePhenotypeAutism spectrum disorderHigh familial likelihoodMeasurement invariancePhenotypeSex differences

Identifiers

PMID40653186
PMCPMC13118521

What Socratic holds

Textmetadata
LicenceTDM
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.