Evidence map›Paper›PMID 40666129›Full record

ArticleNeurology. Clinical practice2025

Antiseizure Medication Prescription Patterns for Treatment of Post-Traumatic Epilepsy.

Matthew Pease, Arka N Mallela, Souvik Roy, Jorge Gonzalez-Martinez, David O Okonkwo, Flora M Hammond, Sergiu Abramovici, Jonathan Elmer, Wesley T Kerr, James Castellano

Abstract read
In one paragraph

Article in Neurology. Clinical practice, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0citing papers in PubMed
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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

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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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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.

Matthew PeaseDepartment of Neurosurgery, Indiana University, Indianapolis, IN.ORCID https://orcid.org/0000-0001-6125-9858
Arka N MallelaDepartment of Neurosurgery, University of Pittsburgh, Pittsburgh, PA.ORCID https://orcid.org/0000-0003-0993-198X
Souvik RoyDepartment of Neurosurgery, University of Pittsburgh, Pittsburgh, PA.ORCID https://orcid.org/0000-0001-9421-2511
Jorge Gonzalez-MartinezDepartment of Neurosurgery, University of Pittsburgh, Pittsburgh, PA.
David O OkonkwoDepartment of Neurosurgery, University of Pittsburgh, Pittsburgh, PA.ORCID https://orcid.org/0000-0002-7444-2851
Flora M HammondDepartment of Physical Medicine and Rehabilitation, Indiana University, Indianapolis, IN.
Sergiu AbramoviciDepartment of Neurology, Indiana University, Indianapolis, IN.ORCID https://orcid.org/0000-0003-1959-6871
Jonathan ElmerDepartment of Neurology, University of Pittsburgh, Pittsburgh, PA.ORCID https://orcid.org/0000-0002-6648-5456
Wesley T KerrDepartment of Neurology, University of Pittsburgh, Pittsburgh, PA.ORCID https://orcid.org/0000-0002-5546-5951
James CastellanoDepartment of Neurology, University of Pittsburgh, Pittsburgh, PA.ORCID https://orcid.org/0000-0003-1052-8725

Funding

Feasibility of machine learning to improve the diagnostic odyssey for functional seizuresK23NS135134 · NINDS · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI Wesley Thomas Kim Kerr · 2025 to 2026
$448k
NINDS NIH HHS K23 NS135134
6 · The paper itself

Abstract

Background and Objective: Post-traumatic epilepsy (PTE) is common, occurring in upward of 1 in 3 patients with severe traumatic brain injury (TBI). There are limited data regarding initial prescription patterns and long-term course of antiseizure medications (ASMs). Methods: The goal of this study was to describe ASM prescription patterns and pharmacoresistance over time. We performed a secondary analysis of a prospective database of patients with severe TBI treated at a single center from 2002 through 2018. We included patients with PTE, defined as at least one seizure more than 7 days from injury, and at least six-month follow-up after PTE onset. ASMs were categorized as older (e.g., phenytoin) or newer (e.g., levetiracetam). We evaluated ASM prescription patterns and their association with epileptology referral and Glasgow Outcome Scale (GOS) score. We developed a logistic regression to predict pharmacoresistance. Results: Our cohort included 84 patients with PTE. ASM prescription for longer than 7 days after injury had only moderate correspondence with early post-traumatic seizures or PTE (Cohen Kappa 41%). At PTE onset, most (53%) were treated with newer ASM monotherapy, with 27% on older ASMs and 20% on multiple ASMs. Patients initially prescribed older ASM monotherapy were less likely to maintain their ASM monotherapy (e.g., medication switch/addition and self-wean) compared with those on newer ASMs (odds ratio [OR] 4.6; 95% confidence interval [CI] 1.3-16.7; Discussion: We provide evidence suggesting that use of newer generation seizure medications is preferable when treating PTE. In addition, we identified early risk factors of pharmacoresistance, which was associated with poor long-term outcomes.

Identifiers

PMID40666129
PMCPMC12258814

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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.