Evidence map›Paper›PMID 37754551›Full record

ArticleEuropean journal of neurology2024

Prognostic value of early electrographic biomarkers of epileptogenesis in high-risk ischaemic stroke patients.

Chiara Tatillo, Benjamin Legros, Chantal Depondt, Estelle Rikir, Gilles Naeije, Lise Jodaïtis, Noémie Ligot, Nicolas Gaspard

Registry-linked trialOpen access · hybridAbstract read
In one paragraph

Article in European journal of neurology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT06922734 (Post-stroke Seizures and EEG Analysis), which is not on this map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed
2.4field-weighted citation impact, top 11% 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.

NCT06922734 active not recruitingnot on this map

Post-stroke Seizures and EEG Analysis

Typeobservational_patient_registrySponsorUniversity Medical Centre MariborRan2014 to 2026Enrolled602ConditionsStroke, Seizures, EEG Power Spectra, Serum Biomarkers
3 · Its place in the literature

Who cites it

10 citing papers in PubMed, 11 citations in OpenAlex.

  1. 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

8 authors at 2 institutions in 2 countries.

Chiara TatilloDepartment of Neurology, Hôpital Universitaire de Bruxelles - Hôpital Erasme, Brussels, Belgium.
Benjamin LegrosDepartment of Neurology, Hôpital Universitaire de Bruxelles - Hôpital Erasme, Brussels, Belgium.
Chantal DepondtDepartment of Neurology, Hôpital Universitaire de Bruxelles - Hôpital Erasme, Brussels, Belgium.
Estelle RikirDepartment of Neurology, Hôpital Universitaire de Bruxelles - Hôpital Erasme, Brussels, Belgium.
Gilles NaeijeDepartment of Neurology, Hôpital Universitaire de Bruxelles - Hôpital Erasme, Brussels, Belgium.
Lise JodaïtisDepartment of Neurology, Hôpital Universitaire de Bruxelles - Hôpital Erasme, Brussels, Belgium.
Noémie LigotDepartment of Neurology, Hôpital Universitaire de Bruxelles - Hôpital Erasme, Brussels, Belgium.
Nicolas GaspardDepartment of Neurology, Hôpital Universitaire de Bruxelles - Hôpital Erasme, Brussels, Belgium.ORCID 0000-0003-1148-6723
Erasmus Hospital · BEUniversité Libre de Bruxelles · BE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

background and purposePost-stroke epilepsy (PSE) is frequent. Better prediction of PSE would enable individualized management and improve trial design for epilepsy prevention. The aim was to assess the complementary value of continuous electroencephalography (EEG) data during the acute phase compared with clinical risk factors currently used to predict PSE.

methodsA prospective cohort of 81 patients with ischaemic stroke who received early continuous EEG monitoring was studied to assess the association of early EEG seizures, other highly epileptogenic rhythmic and periodic patterns, and regional attenuation without delta (RAWOD, an EEG pattern of stroke severity) with PSE. Clinical risk factors were investigated using the SeLECT (stroke severity; large-artery atherosclerosis; early clinical seizures; cortical involvement; territory of middle cerebral artery) scores.

resultsTwelve (15%) patients developed PSE. The presence of any of the investigated patterns was associated with a risk of epilepsy of 46%, with a sensitivity and specificity of 83% and 78%. The association remained significant after adjusting for the SeLECT score (odds ratio 18.8, interquartile range 3.8-72.7).

conclusionsIt was found that highly epileptogenic rhythmic and periodic patterns and RAWOD were associated with the development of PSE and complemented clinical risk factors. These findings indicate that continuous EEG provides useful information to determine patients at higher risk of developing PSE and could help individualize care.

Indexed as

Brain IschemiaEpilepsyIschemic StrokeStrokeBiomarkersElectroencephalographyHumansPrognosisProspective StudiesSeizuresBiomarkersacute symptomatic seizurescontinuous EEG monitoringelectrographic seizuresepileptogenesispost-stroke epilepsyrhythmic and periodic patterns

Identifiers

PMID37754551
PMCPMC11235841
OpenAlexW4387077009

What OpenQuestion holds

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LicenceCC BY-NC
Read underepoch 390

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.