Evidence map›Paper›PMID 40875494›Full record

SynthesisEpilepsia2025

Presence of interictal epileptiform EEG discharges implies increased risk of recurrence after the first unprovoked seizure: Report of the International League Against Epilepsy and International Federation of Clinical Neurophysiology.

Betül Baykan, John Dunne, Samuel Wiebe, Louis Maillard, Sandor Beniczky, Michalis Koutroumanidis, Margitta Seeck

Abstract readSystematic ReviewMeta-Analysis
In one paragraph

Synthesis in Epilepsia, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed, 1 pooled it
–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

4 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Article
  3. Article
  4. Review
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

7 authors.

Betül BaykanDepartment of Neurology, Istanbul Faculty of Medicine, Istanbul University, Istanbul, Turkey.ORCID https://orcid.org/0000-0002-3360-659X
John DunneNeurology Department, Royal Perth Hospital, Perth, Western Australia, Australia.ORCID https://orcid.org/0000-0002-1283-4374
Samuel WiebeDepartment of Clinical Neurosciences, University of Calgary, Calgary, Alberta, Canada.ORCID https://orcid.org/0000-0002-1061-9099
Louis MaillardCNRS, University Hospital of Nancy, University of Lorraine, Nancy, France.
Sandor BeniczkyDanish Epilepsy Centre, Dianalund, Denmark.ORCID https://orcid.org/0000-0002-6035-6581
Michalis KoutroumanidisDepartment of Neurology and Clinical Neurophysiology, St. Thomas' Hospital, Kings College London, London, UK.ORCID https://orcid.org/0000-0002-5616-6240
Margitta SeeckEEG & Epilepsy Unit, Department of Clinical Neurosciences, University Hospital of Geneva, Geneva, Switzerland.ORCID https://orcid.org/0000-0002-6702-0167

Funding

Danish Agency for Higher Education and Science: International Network ProgrammeDanmarks Frie ForskningsfondEUREKA; European Union: Horizon Europe Framework Programme (HORIZONInnovation Fund Denmark; European Union: Eurostars ProgrammeSchweizerischer Nationalfonds zur Förderung der Wissenschaftlichen Forschung 180365
6 · The paper itself

Abstract

objectiveA joint International Federation of Clinical Neurophysiology-International League Against Epilepsy (IFCN-ILAE) Taskforce was created to explore the published evidence for initial EEG recordings in the evaluation of patients who experienced their first unprovoked seizure, and to determine the diagnostic value of EEG in supporting the diagnosis of epilepsy.

methodsWe conducted a systematic literature review, with two independent authors screening each study. We extracted seizure recurrence data among patients with EEG showing interictal epileptiform discharges (IEDs) vs those with normal or nonspecific-abnormal EEG results. Random-effects meta-analyses of seizure recurrence in relation to IEDs was conducted in the included studies, calculating odds ratios (OR) with confidence intervals (CIs) and diagnostic accuracy.

resultsA total of 4847 patients from 22 studies with variable follow-up durations were analyzed. The random-effects pooled binary estimate of seizure recurrence was 47% (95% CI 40%-55%). The overall proportion with seizure recurrence was higher in patients with IEDs (60%, 95% CI 53%-68%) compared to those without (40%, 95% CI 33%-48%, p < .001). Random-effects meta-analysis showed that the presence of IEDs was associated with seizure recurrence (OR 2.32, 95% CI 1.69-3.17, p < .001). Subgroup analyses of adults and children showed that this difference remained significant in both groups: OR in children of 3.24 (95% CI 2.19-4.79) and in adults of 1.55 (95% CI 1.08-2.21). In eight studies (n = 1209, 923 children) patients remained untreated before the second seizure; the pooled probability of seizure recurrence in those with IED in these studies was no different than in studies in which some patients were treated. SIGNIFICANCE: In conclusion, the presence of IEDs in EEG recordings obtained after the first unprovoked seizure can help clinicians to confirm the clinical diagnosis of epilepsy after a first unprovoked seizure, according to the revised ILAE definition. These results support the relevance of IED detection on EEG as a predictor of seizure recurrence after a first unprovoked seizure. However, its prognostic value is influenced by age and other clinical factors.

Indexed as

ElectroencephalographyEpilepsySeizuresHumansRecurrenceEEGfirst seizurenew‐onset epilepsyrelapserisk

Identifiers

PMID40875494
PMCPMC12605794

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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.