Evidence map›Paper›PMID 40136586›Full record

ArticleClinics and practice2025

Investigation of Electroencephalographic Aspects, Adaptive Features, and Clinical Phenotypes in a Group of Children with Autism-A Pilot Study.

Alexandru Capisizu, Leon Zăgrean, Elena Poenaru, Elena Tudorache, Mihaela Anca Bulf, Adriana Sorina Capisizu

Abstract read
In one paragraph

Article in Clinics and practice, 2025. 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

6 authors.

Alexandru CapisizuDr. Constantin Gorgos Psychiatry Hospital, 030442 Bucharest, Romania.
Leon ZăgreanDivision of Physiology and Neuroscience, Department of Functional Sciences, Carol Davila University of Medicine and Pharmacy, 050474 Bucharest, Romania.
Elena PoenaruDiscipline of Medical Informatics and Biostatistics, Carol Davila University of Medicine and Pharmacy, 050474 Bucharest, Romania.ORCID 0000-0002-6414-0841
Elena TudoracheDr. Constantin Gorgos Psychiatry Hospital, 030442 Bucharest, Romania.
Mihaela Anca BulfDr. Constantin Gorgos Psychiatry Hospital, 030442 Bucharest, Romania.
Adriana Sorina CapisizuDepartment of Radiology and Imagistic Medicine 1, Carol Davila University of Medicine and Pharmacy, 050474 Bucharest, Romania.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

(1) Background: Autism, as an important global problem that affects many phenotypically different individuals, is associated with electroencephalographic (EEG) abnormalities and adaptability impairment. (2) Materials and Methods: In this retrospective study of a group of 101 autistic children, we aimed to evaluate the presence of EEG abnormalities, adaptive features, and clinical phenotypes via EEG, the Adaptive Behavior Assessment System II (ABAS II) scale, and neurological examination. (3) Results: Our results showed statistically significant associations between the level of adaptability obtained through the ABAS II scale and neurological deficit, specifically in terms of coordination impairment. There were also statistically significant differences between the level of adaptability and clinical phenotypes between autism type groups. (4) Conclusions: This study shows that children with autism are likely to exhibit neurological and adaptive abnormalities. Non-invasive assessment tools, such as EEG recordings, the ABAS II scale, and neurological examination offer valuable support for improved diagnosis and management.

Indexed as

Adaptive Behavior Assessment System IIautism spectrum disorderchildrenelectroencephalographyneurological examination

Identifiers

PMID40136586
PMCPMC11941036

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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.