Evidence map›Paper›PMID 36292416›Full record

ArticleHealthcare (Basel, Switzerland)2022

Detection of Electroencephalographic Abnormalities and Its Associated Factors among Children with Autism Spectrum Disorder in Thailand.

Duangkamol Tangviriyapaiboon, Patrinee Traisathit, Vorasith Siripornpanich, Chidawan Suyakong, Hataichanok Apikomonkon, Nontiya Homkham, Salinee Thumronglaohapun, Pimwarat Srikummoon

Open access · goldAbstract read
In one paragraph

Article in Healthcare (Basel, Switzerland), 2022. 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
0.2field-weighted citation impact, top 49% 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

1 citing paper in PubMed, 2 citations in OpenAlex.

  1. Review
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

8 authors at 4 institutions in 1 country.

Duangkamol TangviriyapaiboonRajanagarindra Institute of Child Development, Chiang Mai 50180, Thailand.
Patrinee TraisathitDepartment of Statistics, Faculty of Science, Chiang Mai University, Chiang Mai 50200, Thailand.
Vorasith SiripornpanichResearch Center for Neuroscience, Institute of Molecular Biosciences, Mahidol University, Nakhonpathom 73170, Thailand.ORCID 0000-0002-6614-4520
Chidawan SuyakongDepartment of Occupational Therapy, Faculty of Associated Medical Sciences, Chiang Mai University, Chiang Mai 50200, Thailand.
Hataichanok ApikomonkonDepartment of Occupational Therapy, Faculty of Associated Medical Sciences, Chiang Mai University, Chiang Mai 50200, Thailand.
Nontiya HomkhamFaculty of Public Health, Thammasat University, Pathumthani 12120, Thailand.
Salinee ThumronglaohapunDepartment of Statistics, Faculty of Science, Chiang Mai University, Chiang Mai 50200, Thailand.ORCID 0000-0001-7419-6171
Pimwarat SrikummoonDepartment of Statistics, Faculty of Science, Chiang Mai University, Chiang Mai 50200, Thailand.ORCID 0000-0003-1247-3131
Chiang Mai University · THMahidol University · THRajamangala Institute of kidney disease · THThammasat University · TH

Funding

Chiang Mai UniversityDepartment of Mental HealthMinistry of Public Health
6 · The paper itself

Abstract

Epilepsy often causes more severe behavioral problems in children with autism spectrum disorder (ASD) and is strongly associated with poor cognitive functioning. Interestingly, individuals with ASD without a history of epilepsy can have abnormal electroencephalographic (EEG) activity. The aim of this study was to examine associations between EEG abnormalities and the ASD severity in children. The children with ASD who enrolled at the Rajanagarindra Institute of Child Development, Thailand were included in this study. The severity of ASD was measured by interviewing their parents with the Thai autism treatment evaluation checklist. The short sensory profile checklist was used for screening the abnormality of children in each domain. Ordinal logistic regression analysis was used to examine associations between factors potentially linked to EEG abnormalities. Most of the study participants were boys (87.5%) and the median age was 5 years. Among the 128 children, 69.5% showed EEG abnormalities (41.4% slow-wave and 28.1% epileptiform-discharge). The results show that a larger number of symptoms and increased severity of ASD were independently associated with a higher risk of EEG abnormalities. Our results emphasize the need for guidelines on the presence of EEG abnormalities in children with ASD for the early detection of epilepsy and improving treatment outcomes.

Indexed as

autism spectrum disorderEEG abnormalitieselectroencephalographyepilepsyshort sensory profileThai autism treatment evaluation checklist

Identifiers

PMID36292416
PMCPMC9601834
OpenAlexW4303685880

What OpenQuestion 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 OpenQuestion graph.