Evidence map›Paper›PMID 42021959›Full record

ArticlePediatric discovery2026

A Study on the Peak-to-Valley Characteristics of Intellectual Structure in Low-Functioning Children With Autism Spectrum Disorder.

Danyang Zhang, Qiuhong Wei, Binyue Hu, Dan Ai, Yu Zhang, Xueli Xiang, Ting Yang, Qian Zhang, Qian Chen, Min Guo and 3 more

Abstract read
In one paragraph

Article in Pediatric discovery, 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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0cells of the map it votes in
0citing papers in PubMed
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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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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.

Danyang ZhangChildren Nutrition Research Center, Chongqing Key Laboratory of Child Neurodevelopment and Cognitive Disorders, Ministry of Education Key Laboratory of Child Development and Disorders, National Clinical Research Center for Child Health and Disorders Children's Hospital of Chongqing Medical University Chongqing China.ORCID https://orcid.org/0009-0004-9939-4421
Qiuhong WeiChildren Nutrition Research Center, Chongqing Key Laboratory of Child Neurodevelopment and Cognitive Disorders, Ministry of Education Key Laboratory of Child Development and Disorders, National Clinical Research Center for Child Health and Disorders Children's Hospital of Chongqing Medical University Chongqing China.
Binyue HuChildren Nutrition Research Center, Chongqing Key Laboratory of Child Neurodevelopment and Cognitive Disorders, Ministry of Education Key Laboratory of Child Development and Disorders, National Clinical Research Center for Child Health and Disorders Children's Hospital of Chongqing Medical University Chongqing China.
Dan AiChildren Nutrition Research Center, Chongqing Key Laboratory of Child Neurodevelopment and Cognitive Disorders, Ministry of Education Key Laboratory of Child Development and Disorders, National Clinical Research Center for Child Health and Disorders Children's Hospital of Chongqing Medical University Chongqing China.
Yu ZhangDepartment of Primary Child Health Care Children's Hospital of Chongqing Medical University Chongqing China.
Xueli XiangChildren Nutrition Research Center, Chongqing Key Laboratory of Child Neurodevelopment and Cognitive Disorders, Ministry of Education Key Laboratory of Child Development and Disorders, National Clinical Research Center for Child Health and Disorders Children's Hospital of Chongqing Medical University Chongqing China.
Ting YangChildren Nutrition Research Center, Chongqing Key Laboratory of Child Neurodevelopment and Cognitive Disorders, Ministry of Education Key Laboratory of Child Development and Disorders, National Clinical Research Center for Child Health and Disorders Children's Hospital of Chongqing Medical University Chongqing China.
Qian ZhangDepartment of Primary Child Health Care Children's Hospital of Chongqing Medical University Chongqing China.
Qian ChenDepartment of Primary Child Health Care Children's Hospital of Chongqing Medical University Chongqing China.
Min GuoDepartment of Primary Child Health Care Children's Hospital of Chongqing Medical University Chongqing China.
Jie ChenChildren Nutrition Research Center, Chongqing Key Laboratory of Child Neurodevelopment and Cognitive Disorders, Ministry of Education Key Laboratory of Child Development and Disorders, National Clinical Research Center for Child Health and Disorders Children's Hospital of Chongqing Medical University Chongqing China.ORCID https://orcid.org/0000-0002-3170-8525
Tingyu LiChildren Nutrition Research Center, Chongqing Key Laboratory of Child Neurodevelopment and Cognitive Disorders, Ministry of Education Key Laboratory of Child Development and Disorders, National Clinical Research Center for Child Health and Disorders Children's Hospital of Chongqing Medical University Chongqing China.ORCID https://orcid.org/0000-0002-1940-7076
Hua WeiDepartment of Primary Child Health Care Children's Hospital of Chongqing Medical University Chongqing China.ORCID https://orcid.org/0000-0001-5157-4854

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Autism Spectrum Disorder (ASD) is marked by a distinctive cognitive profile reflecting neurodiversity, yet whether this profile extends consistently across the functional spectrum remains uncertain. In this study, we examined the intellectual structure of children with low-functioning ASD (LF-ASD) and high-functioning ASD (HF-ASD), comparing their cognitive peak-valley profiles using the Chinese Wechsler Intelligence Scale for Children (C-WISC). Among 314 children aged 6-13 years-including 104 with LF-ASD, 122 with HF-ASD, and control groups with typical development (TD) or intellectual disabilities (ID)-both ASD subgroups displayed significantly greater discrepancies between verbal and performance IQ than controls, with pronounced strengths in visuospatial tasks and weaknesses in arithmetic reasoning. Notably, the Block Design and Object Assembly subtests emerged as cognitive peaks across both ASD groups, whereas the Arithmetic subtest constituted the most frequent trough. Although the mean peak-valley discrepancy was slightly reduced in LF-ASD compared to HF-ASD, both exceeded the 2 standard deviation (SD) threshold for neurodiversity, distinguishing them from the TD and ID groups. These profiles were positively associated with adaptive functioning and inversely related to ASD symptom severity. Our findings suggest that children with LF-ASD exhibit intellectual asymmetries comparable to those of HF-ASD, supporting the universality of neurodiversity within the autism spectrum and offering valuable insights for tailoring cognitive interventions.

Indexed as

autism spectrum disorderhigh functioningintellectual structureslow functioningpeak‐to‐valley characteristics

Identifiers

PMID42021959
PMCPMC13097622

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Registered trials

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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.