Evidence map›Paper›PMID 41004637›Full record

ArticleJournal of child neurology2026

Early Electroencephalogram to Predict Severity of Injury in Infants With Abusive Traumatic Brain Injury.

Natasha A Varughese, Ali Hasan, Naomi Cohen, Deja Smith, Rebekah L Clarke, Jillian Grapsy, Rana Said, Darryl Miles, Lakshmi Raman, Deepa Sirsi

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Journal of child neurology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing 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

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

10 authors.

Natasha A Varughese2Department of Neurology, Division of Pediatric Neurology, UT Southwestern Medical Center, Dallas, TX, USA.ORCID 0000-0003-1071-6320
Ali HasanDepartment of Pediatrics, Division of Critical Care, UT Southwestern Medical Center, Dallas, TX, USA.ORCID 0000-0002-8752-7790
Naomi CohenUT Southwestern Medical School, Dallas, TX, USA.
Deja SmithDepartment of Trauma Services, Children's Medical Center, Dallas, TX, USA.
Rebekah L ClarkeDepartment of Radiology, Division of Pediatric Radiology, UT Southwestern Medical Center, Dallas, TX, USA.
Jillian GrapsyDepartment of Pharmacology, Children's Medical Center, Dallas, TX, USA.
Rana Said2Department of Neurology, Division of Pediatric Neurology, UT Southwestern Medical Center, Dallas, TX, USA.
Darryl MilesDepartment of Pediatrics, Division of Critical Care, UT Southwestern Medical Center, Dallas, TX, USA.
Lakshmi RamanDepartment of Pediatrics, Division of Critical Care, UT Southwestern Medical Center, Dallas, TX, USA.
Deepa Sirsi2Department of Neurology, Division of Pediatric Neurology, UT Southwestern Medical Center, Dallas, TX, USA.ORCID 0000-0003-3960-9561

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This study explored the hypothesis that specific electroencephalographic (EEG) findings may correlate with outcomes in children with abusive head trauma. A retrospective chart review was conducted on children <2 years of age who were hospitalized after suspected abusive head trauma between 2015 and 2021. Based on validated scoring systems, a primary analysis was performed to correlate background EEG scores against magnetic resonance imaging (MRI) scores and neurofunctional outcomes. A secondary analysis was performed to correlate seizure burden against MRI and neurofunctional outcomes. Significant positive correlations (Spearman rank) were discovered between background EEG scores and MRI scores (0.338,

Indexed as

Brain Injuries, TraumaticChild AbuseElectroencephalographyFemaleHumansInfantMagnetic Resonance ImagingMalePredictive Value of TestsPrognosisRetrospective StudiesSeizuresabusive head traumaelectroencephalographic (EEG) scoringnon-accidental traumapediatric traumatic brain injuryseizure burden

Identifiers

PMID41004637
PMCPMC13069134

What OpenQuestion holds

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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.