Evidence map›Paper›PMID 35064804›Full record

ArticleEuropean radiology2022

Quantitative susceptibility mapping reveals brain iron deficiency in children with attention-deficit/hyperactivity disorder: a whole-brain analysis.

Yingqian Chen, Shu Su, Yan Dai, Mengsha Zou, Liping Lin, Long Qian, Qin Zhou, Hongyu Zhang, Meina Liu, Jing Zhao and 1 more

Abstract read
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In one paragraph

Article in European radiology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
18citing papers in PubMed, 1 pooled it
2.8field-weighted citation impact, top 9% 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

18 citing papers in PubMed, 1 synthesis or guideline pooled it, 24 citations in OpenAlex.

  1. Pooled it
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  17. Brain Iron Homeostasis and Mental Disorders.Antioxidants (Basel, Switzerland) · 2023
    Review
  18. 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

11 authors at 1 institution in 1 country.

Yingqian Chen *Department of Radiology, The First Affiliated Hospital, Sun Yat-Sen University, 58th, The Second Zhongshan Road, Guangzhou, China.
Shu Su *Department of Radiology, The First Affiliated Hospital, Sun Yat-Sen University, 58th, The Second Zhongshan Road, Guangzhou, China.
Yan DaiDepartment of Radiology, The First Affiliated Hospital, Sun Yat-Sen University, 58th, The Second Zhongshan Road, Guangzhou, China.
Mengsha ZouDepartment of Radiology, The First Affiliated Hospital, Sun Yat-Sen University, 58th, The Second Zhongshan Road, Guangzhou, China.
Liping LinDepartment of Radiology, The First Affiliated Hospital, Sun Yat-Sen University, 58th, The Second Zhongshan Road, Guangzhou, China.
Long QianMR Research, GE Healthcare, Beijing, China.
Qin ZhouDepartment of Radiology, The First Affiliated Hospital, Sun Yat-Sen University, 58th, The Second Zhongshan Road, Guangzhou, China.
Hongyu ZhangDepartment of Pediatric, The First Affiliated Hospital, Sun Yat-Sen University, 58th, The Second Zhongshan Road, Guangzhou, China.
Meina LiuDepartment of Pediatric, The First Affiliated Hospital, Sun Yat-Sen University, 58th, The Second Zhongshan Road, Guangzhou, China.
Jing ZhaoDepartment of Radiology, The First Affiliated Hospital, Sun Yat-Sen University, 58th, The Second Zhongshan Road, Guangzhou, China. zhaoj23@mail.sysu.edu.cn.
Zhiyun YangDepartment of Radiology, The First Affiliated Hospital, Sun Yat-Sen University, 58th, The Second Zhongshan Road, Guangzhou, China. yzhyun@mail.sysu.edu.cn.ORCID http://orcid.org/0000-0002-6139-9049
Sun Yat-sen University · CN

Funding

guangdong medical research foundation A2020327young scientists fund 82001439
6 · The paper itself

Abstract

objectivesTo quantitatively measure and compare the whole-brain iron deposition between attention-deficit/hyperactivity disorder (ADHD) patients and typically developing (TD) children using the quantitative susceptibility mapping (QSM) technique.

methodsThis study was approved by the institutional review board of our institution (No. [2019]328). Fifty-one patients between 6 and 14 years with clinical diagnosis of ADHD and 51 age- and gender-paired TD children were enrolled. For each participant, the 3D T1 and multi-echo GRE sequence were performed to acquire the whole-brain data with 3.0-T MRI. The QSM maps were calculated using STISuite toolbox. After normalizing the QSM images to MNI space, the voxel-based analysis was used to compare the iron content between the two groups. Pearson's correlation test was used to assess the associations between the iron content and the score of the tablet-PC-based cancellation test, which was done to evaluate the attention concentration level.

resultsIron deficiency was observed in several brain regions in children with ADHD, including bilateral striatums, anterior cingulum, olfactory gyrus, and right lingual gyri. In further correlation analysis, the left anterior cingulum was found to show positive correlation with the symptom severity (r = 0.326, p < 0.05).

conclusionsOur study demonstrated that the iron deficiency in several brain regions might be related with ADHD, which might be valuable for further studies. And QSM might have the potential efficacy in the auxiliary diagnosis of ADHD. KEY POINTS: • Iron deficiency was observed in several brain regions in children with ADHD, which include bilateral striatums, the critical regions in the dopaminergic transmitter system. • The iron content in the left ACG may have association with the symptom severity of ADHD. • QSM might have the potential efficacy in the auxiliary diagnosis of ADHD.

Indexed as

Attention Deficit Disorder with HyperactivityIron DeficienciesBrainBrain MappingChildHumansIronMagnetic Resonance ImagingIronAttention-deficit/hyperactivity disorderIron deficiencyMagnetic resonance imaging

Identifiers

PMID35064804
OpenAlexW4206906069

What OpenQuestion holds

Textmetadata
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.