Evidence map›Paper›PMID 40888427›Full record

ArticleEuropean journal of neurology2025

Does the Timing of Electroencephalogram Recording After a First Unprovoked Seizure Influence Its Ability to Predict Additional Seizures?

Tal Gilboa, Ella Rochberg Hanuka, Tzlil Y Shifman, Dana Ekstein

Abstract read
In one paragraph

Article in European journal of neurology, 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

4 authors.

Tal GilboaChild Neurology Unit, Hadassah Medical Organization, Jerusalem, Israel.ORCID 0000-0003-3060-422X
Ella Rochberg HanukaPediatrics Wing, Schneider Children's Medical Center of Israel, Petach Tikva, Israel.
Tzlil Y ShifmanDepartment of Neurology and Agnes Ginges Center of Neurogenetics, Hadassah Medical Organization, Jerusalem, Israel.
Dana EksteinThe Faculty of Medicine, The Hebrew University of Jerusalem, Jerusalem, Israel.ORCID 0000-0002-3860-6054

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundAbnormal electroencephalograms (EEGs) are a known risk factor for additional seizures following a first unprovoked seizure (FUS). This study assessed whether early or late EEGs after a FUS predict subsequent seizures in pediatric and adult patients.

methodsThis retrospective study included patients who underwent EEGs after a FUS between 4/2011 and 12/2015, categorized into children (≤ 16 years) and adults. EEGs (assigned as generally abnormal or specifically epileptiform) performed early (within 2 days) or later were correlated with patient characteristics, anti-seizure medication (ASM) use, and additional seizures within 2 years.

resultsThe study involved 202 participants (137 children, 65 adults) with 168 early and 127 late EEGs. Children had more abnormal early and late EEGs than adults, though early EEGs were conducted sooner in adults. More early EEGs in children showed epileptiform activity. ASMs were more frequently prescribed in adults, patients with risk factors, and those with abnormal early EEGs, but ASM use did not correlate with less abnormal late EEGs. Epileptiform activity in late EEGs (p = 0.006, OR 3.085) and ASM use (p = 0.018, OR 0.39) were significantly linked to additional seizures on multivariate analysis, with similar findings in pediatric but not adult patients.

conclusionsBoth early and late EEGs are valuable following a FUS, serving different purposes. Early EEGs are helpful for diagnosis, while late EEGs offer better prognostic value for seizure recurrence. Further research is needed to confirm these results in larger, prospective studies.

Indexed as

ElectroencephalographySeizuresAdolescentAdultAnticonvulsantsChildChild, PreschoolFemaleHumansInfantMaleMiddle AgedRetrospective StudiesTime FactorsYoung AdultAnticonvulsantsanti‐seizure medicationsearly EEGepilepsy predictionlate EEG

Identifiers

PMID40888427
PMCPMC12400156

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