Evidence map›Paper›PMID 39944550›Full record

ArticleFrontiers in neurology2025

Innovative epilepsy management: a combined figure of EEG categorization and medication mechanisms.

Mohamed Taha, Douglas R Nordli, Carol Park, Douglas R Nordli

Abstract read
In one paragraph

Article in Frontiers in neurology, 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. Review
  2. 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

4 authors.

Mohamed TahaComer Children's Hospital, University of Chicago, Chicago, IL, United States.
Douglas R NordliComer Children's Hospital, University of Chicago, Chicago, IL, United States.
Carol ParkComer Children's Hospital, University of Chicago, Chicago, IL, United States.
Douglas R NordliComer Children's Hospital, University of Chicago, Chicago, IL, United States.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: Epilepsy management requires precision in diagnosis and treatment, particularly when selecting antiseizure medications based on specific epilepsy syndromes. We present an innovative educational tool that integrates EEG categorization with antiseizure medication mechanisms, designed to enhance clinical decision-making in epilepsy management. Methods: This study evaluated a cohort of neurology trainees through a pre-test and post-test design. Participants were assessed on their ability to diagnose epilepsy syndromes and select appropriate treatments based on EEG findings before and after exposure to the teaching figure. The figure aligns key EEG patterns with specific epilepsy syndromes and outlines the corresponding mechanisms of action of antiseizure medications. Results: Post-test results demonstrated a statistically significant improvement in trainees' ability to analyze clinical cases and make informed treatment decisions (mean pre-test score: 52.8; post-test score: 66.5; Discussion: The integration of EEG patterns with antiseizure medication mechanisms allows for more precise epilepsy syndrome diagnosis and enhances the selection of rational polypharmacy approaches. This approach not only improves educational outcomes but also offers potential applications in clinical practice for personalized epilepsy treatment strategies. Conclusion: This innovative figure bridges the gap between EEG categorization and treatment strategies, providing a valuable tool for improving epilepsy management education and clinical outcomes. Plain language summary: This manuscript introduces a teaching tool that helps providers better understand how brainwave patterns (EEGs) relate to epilepsy types and guides them in choosing the most effective seizure medications.

Indexed as

antiseizure medicationeducationEEGepilepsyrational pharmacological treatment

Identifiers

PMID39944550
PMCPMC11816356

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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.