Evidence map›Paper›PMID 37223654›Full record

ArticleNeuropsychiatric disease and treatment2023

Network Analysis of ADHD Symptoms and Cognitive Profiles in Children.

Qionglin Zhou, Xiaoshan Ye, Chongxia Wei, Yufan Wu, Pengcheng Ren, Xuewei Lin, Ling Li, Wei Xiang, Le Xiao

Open access · goldAbstract read
In one paragraph

Article in Neuropsychiatric disease and treatment, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed, 1 pooled it
2.2field-weighted citation impact, top 13% of its field
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

7 citing papers in PubMed, 1 synthesis or guideline pooled it, 10 citations in OpenAlex.

  1. Pooled it
  2. Trial
  3. Autism Symptom Presentation and Hierarchical Models of Intelligence.Journal of autism and developmental disorders · 2026
    Article
  4. Review
  5. Article
  6. Article
  7. 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

9 authors at 1 institution in 1 country.

Qionglin Zhou *Hainan Medical University, Haikou, People's Republic of China.
Xiaoshan Ye *Hainan Medical University, Haikou, People's Republic of China.
Chongxia Wei *Hainan Women and Children's Medical Center, Haikou, People's Republic of China.
Yufan WuHainan Medical University, Haikou, People's Republic of China.
Pengcheng RenHainan Medical University, Haikou, People's Republic of China.
Xuewei LinHainan Women and Children's Medical Center, Haikou, People's Republic of China.
Ling LiHainan Women and Children's Medical Center, Haikou, People's Republic of China.
Wei XiangHainan Medical University, Haikou, People's Republic of China.
Le XiaoHainan Medical University, Haikou, People's Republic of China.ORCID 0000-0001-9703-1265
Hainan Medical University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Purpose: Although many studies have reported the cognitive profiles in attention-deficit/hyperactivity disorder (ADHD), the interactions between ADHD symptoms and the patients' cognitive profiles have not been carefully examined through the network analysis. Here, in this study, we systematically analyzed the ADHD patents' symptoms and cognitive profiles, and identified a set of interactions between ADHD symptoms and cognitive domains using the network approach. Patients and Methods: A total of 146 children with ADHD, 6 to 15 years of age, were included in the study. All participants were assessed by the Wechsler Intelligence Scale for Children-Fourth Edition (WISC-IV) test. The patients' ADHD symptoms were evaluated by the Vanderbilt ADHD parent and teacher rating scales. GraphPad Prism 9.1.1 software was used for descriptive statistics and R 4.2.2 was used for network model construction. Results: The ADHD children in our sample showed lower scores for full scale intelligence quotient (FSIQ), verbal comprehension index (VCI), processing speed index (PSI) and working memory index (WMI). Among all the ADHD core symptoms and comorbid symptoms, the academic ability, inattention symptoms and mood disorder showed direct interaction with the cognitive domains of WISC-IV. In addition, oppositional defiant of the ADHD comorbid symptoms, and perceptual reasoning of the cognitive domains exhibited the highest strength centrality in the ADHD-Cognition network based on parent ratings. Classroom behaviors of the ADHD functional impairment, and verbal comprehension of the cognitive domains exhibited the highest strength centrality in the network based on teacher ratings. Conclusion: We highlighted the importance of considering the interactions between the ADHD symptoms and cognitive properties when designing the intervention plans for the ADHD children.

Indexed as

attention-deficit/hyperactivity disordernetwork analysisWechsler Intelligence Scale for Children-Fourth Edition

Identifiers

PMID37223654
PMCPMC10202214
OpenAlexW4376866188

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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 OpenQuestion graph.