Evidence map›Paper›PMID 29881799›Full record

ArticleEpilepsia open2018

Early EEG predicts poststroke epilepsy.

Carla Bentes, Hugo Martins, Ana Rita Peralta, Carlos Morgado, Carlos Casimiro, Ana Catarina Franco, Ana Catarina Fonseca, Ruth Geraldes, Patrícia Canhão, Teresa Pinho E Melo and 2 more

Registry-linked trialAbstract read
In one paragraph

Article in Epilepsia open, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT05864547 (Predisposing Factors for Post-stroke Epilepsy), which is not on this map. Cited by 48 papers.

0numbers the graph read from it
0cells of the map it votes in
48citing 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.

NCT05864547 recruitingnot on this mapstarted 2023, after this paper: background citation

Predisposing Factors for Post-stroke Epilepsy

Typeobservational_patient_registrySponsorNorwegian University of Science and TechnologyRan2023 to 2030Enrolled30ConditionsPost Stroke Epilepsy, Stroke, Epilepsy, Seizures
3 · Its place in the literature

Who cites it

48 citing papers in PubMed.

  1. Systemic inflammatory profiles associated with early EEG abnormalities following ischemic stroke: a cohort study.Neurological sciences : official journal of the Italian Neurological Society and of the Italian Society of Clinical Neurophysiology · 2026
    Observational
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  11. Data-driven modeling of neural dynamics from EEG to track physiological changes.Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference · 2024
    Article
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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

12 authors.

Carla BentesEEG/Sleep Laboratory / Stroke Unit Department of Neurosciences and Mental Health (Neurology) Santa Maria Hospital - North Lisbon Hospitalar Centre Lisbon Portugal.ORCID 0000-0003-2399-7678
Hugo MartinsDepartment of Medicine São José Hospital - Central Lisbon Hospitalar Centre Lisbon Portugal.
Ana Rita PeraltaEEG/Sleep Laboratory / Stroke Unit Department of Neurosciences and Mental Health (Neurology) Santa Maria Hospital - North Lisbon Hospitalar Centre Lisbon Portugal.
Carlos MorgadoFaculty of Medicine University of Lisbon Lisbon Portugal.
Carlos CasimiroDepartment of Neuroradiology Santa Maria Hospital - North Lisbon Hospitalar Centre Lisbon Portugal.
Ana Catarina FrancoEEG/Sleep Laboratory / Stroke Unit Department of Neurosciences and Mental Health (Neurology) Santa Maria Hospital - North Lisbon Hospitalar Centre Lisbon Portugal.ORCID 0000-0002-4371-9272
Ana Catarina FonsecaEEG/Sleep Laboratory / Stroke Unit Department of Neurosciences and Mental Health (Neurology) Santa Maria Hospital - North Lisbon Hospitalar Centre Lisbon Portugal.
Ruth GeraldesEEG/Sleep Laboratory / Stroke Unit Department of Neurosciences and Mental Health (Neurology) Santa Maria Hospital - North Lisbon Hospitalar Centre Lisbon Portugal.
Patrícia CanhãoEEG/Sleep Laboratory / Stroke Unit Department of Neurosciences and Mental Health (Neurology) Santa Maria Hospital - North Lisbon Hospitalar Centre Lisbon Portugal.
Teresa Pinho E MeloEEG/Sleep Laboratory / Stroke Unit Department of Neurosciences and Mental Health (Neurology) Santa Maria Hospital - North Lisbon Hospitalar Centre Lisbon Portugal.
Teresa PaivaEletroencefalography and Clinic Neurophysiology Centre (CENC) Lisbon Portugal.
José M FerroEEG/Sleep Laboratory / Stroke Unit Department of Neurosciences and Mental Health (Neurology) Santa Maria Hospital - North Lisbon Hospitalar Centre Lisbon Portugal.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveElectroencephalography (EEG) can identify biomarkers of epileptogenesis and ictogenesis. However, few studies have used EEG in the prediction of poststroke seizures. Our primary aim was to evaluate whether early EEG abnormalities can predict poststroke epilepsy.

methodsA prospective study of consecutive acute anterior circulation ischemic stroke patients, without previous epileptic seizures, who were admitted to a stroke unit over 24 months and followed for 1 year. All patients underwent standardized clinical and diagnostic assessment during the hospital stay and after discharge. Video-EEG was performed in the first 72 h (first EEG), daily for the first 7 days, in case of neurological deterioration, at discharge, and at 12 months after stroke. The occurrence of epileptic seizures in the first year after stroke (primary outcome) was evaluated clinically and neurophysiologically during the hospital stay and at 12 months. A telephone interview was also performed at 6 months. The primary outcome was the occurrence of at least one unprovoked seizure (poststroke epilepsy). Secondary outcomes were the occurrence of at least one acute symptomatic seizure and (interictal and/or ictal) epileptiform activity on at least one EEG during the hospital stay for acute stroke. The first EEG variables were defined using international criteria/terminology. Bivariate and multivariate analyses with adjustment for age, admission National Institutes of Health Stroke Scale (NIHSS) score, and Alberta Stroke Program Early CT Score (ASPECTS) were performed.

resultsA total of 151 patients were included; 38 patients (25.2%) had an acute symptomatic seizure and 23 (16%) had an unprovoked seizure.The first EEG background activity asymmetry and first EEG with interictal epileptiform activity were independent predictors of poststroke epilepsy during the first year after stroke ( SIGNIFICANCE: An early poststroke EEG can predict epilepsy in the first year after stroke, independently from clinical and imaging-based infarct severity.

Indexed as

EEGEpileptic seizuresIschemic strokePrediction

Identifiers

PMID29881799
PMCPMC5983181

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Registered trials

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.