Evidence map›Paper›PMID 41687137›Full record

ArticleSeizure2026

Characteristics associated with first anti-seizure medication prescribed in a cohort of adults with newly diagnosed epilepsy.

Leah J Blank, Rachelle Morgenstern, Kenneth Boockvar, Nihal Mohamed, Nathalie Jetté

Abstract read
In one paragraph

Article in Seizure, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

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

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

5 authors.

Leah J BlankDepartment of Neurology, Division of Health Outcomes & Knowledge Translation Research, Icahn School of Medicine at Mount Sinai, New York, NY, USA; Department of Population Health and Policy, Institute for Healthcare Delivery, Icahn School of Medicine at Mount Sinai, New York, NY, USA. Electronic address: leah.blank@mssm.edu.
Rachelle MorgensternDepartment of Neurology, Division of Health Outcomes & Knowledge Translation Research, Icahn School of Medicine at Mount Sinai, New York, NY, USA.
Kenneth BoockvarDepartment of Medicine, Division of Gerontology, Geriatrics and Palliative Care, University of Alabama at Birmingham, Birmingham, AL, USA; Geriatrics Research, Education, and Clinical Center, Birmingham VA Health Care System, AL, USA.
Nihal MohamedDepartment of Urology, Icahn School of Medicine at Mount Sinai, New York, NY, USA.
Nathalie JettéDepartment of Clinical Neurosciences, University of Calgary, Calgary, AB, Canada. Electronic address: njette@ucalgary.ca.

Funding

Seizure, cognitive change and dementia: Understanding the use and safety of anti-seizure medicationsK23AG080163 · NIA · ICAHN SCHOOL OF MEDICINE AT MOUNT SINAI · PI Leah Blank · 2023 to 2026
$664k
NIA NIH HHS K23 AG080163
6 · The paper itself

Abstract

backgroundAnti-seizure medication (ASM) is the primary treatment modality in epilepsy. There exist evidence-based recommendations published by the American Academy of Neurology and American Epilepsy Society for ASM selection in epilepsy, but these medication recommendations are inconsistently followed. We sought to examine predictors of recommended first ASM in newly diagnosed adults with epilepsy.

methodsWe conducted a retrospective cohort study of adults (≥18 years) newly diagnosed with epilepsy in New York, identified using validated ICD-CM codes, for the period 2011 to 2019. The primary outcome of interest was use of an AES/AAN guideline-informed ASM, and exposures of interest included patient characteristics (e.g. age), provider characteristics (e.g. specialty) and structural characteristics (e.g., practice setting). Multivariable Poisson regression for risk ratios modeled the probability of being prescribed a neutral/recommended or non-recommended ASM, adjusting for covariates.

results2340 adults with newly diagnosed epilepsy were prescribed an ASM within 1-year. The most frequently prescribed ASM was levetiracetam (45.5%), which aligns with recommendations. However, 39% were prescribed a non-recommended medication. The prescription of a recommended ASM was associated with older age at diagnosis (relative risk (RR) 1.01; 95% confidence interval (CI) 1.00-1.01), Black race (RR 1.12; 95% CI 1.03-1.23), being in a relationship (vs. divorced/separated/single or widowed) (RR 1.13; 95% CI 1.06-1.22) and a history of stroke (RR 1.19; 95% CI 1.05-1.34). Prescriptions from physician trainees (vs. non-trainees) were more likely to align with recommended ASMs (RR 1.15; 95% CI 1.06-1.25), with no differences by physician specialty. Inpatient setting was associated with fewer recommended ASM prescriptions (vs. outpatient setting) (RR 0.82; 95% CI 0.75-0.89). There was no difference between emergency department and outpatient prescriptions.

conclusionsUnderstanding where/why less favorable ASM prescription may occur is important to target potential prescribing interventions. In this study, recommended ASM prescriptions were associated with patient, prescriber and setting characteristics. Notably, trainees prescribed recommended/neutral ASM more often, which underscores the importance of prescriber education in improving prescribing practices.

Indexed as

AnticonvulsantsEpilepsyPractice Patterns, Physicians'AdultAgedCohort StudiesFemaleHumansMaleMiddle AgedRetrospective StudiesYoung AdultAnticonvulsantsAEDAntiepilepticPolypharmacyPredictorPrescribing

Identifiers

PMID41687137
PMCPMC13089088

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LicenceCC BY
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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.