Evidence map›Paper›PMID 41133534›Full record

ReviewReports (MDPI)2025

Post-Traumatic Epilepsy After Mild and Moderate Traumatic Brain Injury: A Narrative Review and Development of a Clinical Decision Tool.

Ioannis Mavroudis, Katerina Franekova, Foivos Petridis, Alin Ciobica, Gabriel Dăscălescu, Carmen Rodica Anton, Ciprian Ilea, Sotirios Papagiannopoulos, Dimitrios Kazis, Emil Anton

Abstract readReview
In one paragraph

Review in Reports (MDPI), 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Designing Neural Dynamics: From Digital Twin Modeling to Regeneration.International journal of molecular sciences · 2025
    Review
  2. 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

10 authors.

Ioannis MavroudisDepartment of Neuroscience, Leeds Teaching Hospital, NHS Trust, Leeds LS17 7HY, UK.
Katerina FranekovaInstitute of Health Sciences, University of Leeds, Leeds LS2 9NL, UK.
Foivos PetridisThird Department of Neurology, Aristotle University of Thessaloniki, 54124 Thessaloniki, Greece.ORCID 0000-0002-5617-0346
Alin CiobicaDepartment of Biology, Faculty of Biology, "Alexandru Ioan Cuza" University of Iasi, 700505 Iasi, Romania.
Gabriel DăscălescuDepartment of Biology, Faculty of Biology, "Alexandru Ioan Cuza" University of Iasi, 700505 Iasi, Romania.ORCID 0009-0001-1962-7861
Carmen Rodica AntonFaculty of Medicine, "Grigore T. Popa" University of Medicine and Pharmacy, 700115 Iasi, Romania.ORCID 0000-0001-7717-1738
Ciprian IleaFaculty of Medicine, "Grigore T. Popa" University of Medicine and Pharmacy, 700115 Iasi, Romania.
Sotirios PapagiannopoulosThird Department of Neurology, Aristotle University of Thessaloniki, 54124 Thessaloniki, Greece.ORCID 0000-0001-6743-6544
Dimitrios KazisThird Department of Neurology, Aristotle University of Thessaloniki, 54124 Thessaloniki, Greece.ORCID 0000-0002-7319-2045
Emil AntonFaculty of Medicine, "Grigore T. Popa" University of Medicine and Pharmacy, 700115 Iasi, Romania.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundPost-traumatic epilepsy (PTE) is a recognized complication of traumatic brain injury (TBI), yet its risk following mild and moderate TBI remains underappreciated. Although mild TBI represents the majority of cases in clinical practice, a subset of patients develop unprovoked seizures months or even years post-injury. This review aims to synthesize current evidence on the incidence and predictors of PTE in mild and moderate TBI and to propose a clinically actionable decision-support tool for early risk stratification.

methodsWe performed a narrative review of peer-reviewed studies published between 1985 and 2024 that reported on the incidence, risk factors and predictive models of PTE in patients with mild (Glasgow Coma Scale [GCS] 13-15) and moderate (GCS 9-12 or imaging-positive) TBI. Data from 24 studies were extracted, focusing on neuroimaging findings, early post-traumatic seizures, EEG abnormalities and clinical risk factors. These variables were integrated into a rule-based algorithm, which was implemented using Streamlit to enable real-time clinical decision-making. The decision-support tool incorporated five domains: injury severity, early post-traumatic seizures, neuroimaging findings (including contusion location and hematoma type), clinical and demographic variables (age, sex, psychiatric comorbidities, prior TBI, neurosurgical intervention) and EEG abnormalities.

resultsPTE incidence following mild TBI ranged from <1% to 10%, with increased risk observed in patients presenting with intracranial hemorrhage or early seizures. From moderate TBI, incidence rates were consistently higher (6-12%). Key predictors included early seizures, frontal or temporal contusions, subdural hematoma, multiple contusions and midline shift. Additional risk-enhancing factors included prolonged loss of consciousness, male sex, psychiatric comorbidities and abnormal EEG patterns. Based on these features, we developed a decision-support tool that stratifies patients into low-, moderate- and high-risk categories for developing PTE.

conclusionsEven in non-severe cases, patients with mild and moderate TBI who exhibit high-risk features remain vulnerable to long-term epileptogenesis. Our proposed tool provides a pragmatic, evidence-based framework for early identification and follow-up planning. Prospective validation studies are needed to confirm its predictive accuracy and optimize its clinical utility.

Indexed as

clinical decision toolcontusionearly seizuresEEGmild traumatic brain injury (mTBI)moderate TBIneuroimagingpost-traumatic epilepsy (PTE)prediction modelseizure risk

Identifiers

PMID41133534
PMCPMC12643447

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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.