Evidence map›Paper›PMID 40250148›Full record

ArticleEpilepsy & behavior : E&B2025

The prevalence of comorbidities in people with psychogenic non-epileptic seizures (2013-2023).

Binx Yezhe Lin, Lisa Gong, Yifan Li, Hillary Samples, Greta A Bushnell, Fábio A Nascimento, Anita S Kablinger, Robert L Trestman, Kevin Young Xu

Abstract read
In one paragraph

Article in Epilepsy & behavior : E&B, 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. Article
  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

9 authors.

Binx Yezhe LinDepartment of Psychiatry and Behavioral Medicine, Virginia Tech Carilion School of Medicine, Roanoke, VA, USA; Department of Psychiatry and Behavioral Sciences, UCSF School of Medicine, San Francisco, CA, USA.
Lisa GongSchool of Medicine, Washington University in St. Louis, School of Medicine, Saint Louis, MO, USA.
Yifan LiDepartment of Psychiatry and Behavioral Medicine, Virginia Tech Carilion School of Medicine, Roanoke, VA, USA; Department of Psychiatry and Behavioral Sciences, UCSF School of Medicine, San Francisco, CA, USA.
Hillary SamplesRutgers Center for Pharmacoepidemiology and Treatment Science, New Brunswick, NJ, USA.
Greta A BushnellRutgers Center for Pharmacoepidemiology and Treatment Science, New Brunswick, NJ, USA.
Fábio A NascimentoSection of Epilepsy, Department of Neurology, Washington University in St. Louis School of Medicine, Saint Louis, MO, USA.
Anita S KablingerDepartment of Psychiatry and Behavioral Medicine, Virginia Tech Carilion School of Medicine, Roanoke, VA, USA.
Robert L TrestmanDepartment of Psychiatry and Behavioral Medicine, Virginia Tech Carilion School of Medicine, Roanoke, VA, USA.
Kevin Young XuDivision of Addiction Science, Prevention, and Treatment, Department of Psychiatry, Washington University School of Medicine in Saint Louis, USA; Institute for Public Health, Washington University in Saint Louis, USA. Electronic address: xukeviny@wustl.edu.

Funding

Benzodiazepine-related harms in young people: Informing policy, interventions, and prescribingK01DA050769 · NIDA · RUTGERS BIOMEDICAL/HEALTH SCIENCES-RBHS · PI BUSHNELL, GRETA · 2021 to 2025
$1.0M
Multi-level associations between opioid use and overdose: Individual, clinical, and population-based risk factors for fatalityK01DA049950 · NIDA · RUTGERS BIOMEDICAL/HEALTH SCIENCES-RBHS · PI SAMPLES, HILLARY · 2020 to 2024
$981k
Using Big Data to Optimize Treatment of Opioid Use Disorder in PregnancyK08DA061258 · NIDA · WASHINGTON UNIVERSITY · PI Kevin Young Xu · 2024 to 2026
$664k
NIDA NIH HHS K01 DA049950NIDA NIH HHS K01 DA050769NIDA NIH HHS K08 DA061258
6 · The paper itself

Abstract

objectiveTo better understand medical comorbidity in people with psychogenic non-epileptic seizures (PNES), we used real-world electronic health records (EHR) to evaluate rates of co-occurring diagnoses and psychotropic prescribing in people receiving their first diagnosis of PNES.

methodsWe conducted a descriptive analysis of the TriNetX databases, a federated network of >80 health care organizations with access to electronic health records and linked insurance claims. We identified 25,858 individuals with a new PNES diagnosis (ICD-10-CM F44.5) and  ≥5 years of EHR or claims data prior to the first PNES encounter. We subsequently evaluated baseline medical comorbidities and outpatient psychotropic prescriptions during the 5 year lookback period preceding the first PNES encounter.

resultsIn the 5 years before the first PNES encounter, >50% of patients with PNES had encounters where mood-related disorder, anxiety-related disorder, or epilepsy was coded. Past 5-year injuries or poisonings (46.0%), benzodiazepine or Z drug prescriptions (63.5%), and opioid prescriptions (48.6%) were particularly common. Approximately one-third of the sample had past 5-year pain-related diagnoses. Prior diagnoses of PTSD (17.0%), borderline personality disorder (<5%), intellectual disability (<5%), and autism-spectrum disorders (<5%) were comparatively less common.

conclusionThe needs of people with PNES extend beyond psychiatric management. Clinicians should consider the impact of injuries, pain-related diagnoses, and opioid and benzodiazepine exposure in differential diagnosis.

Indexed as

Conversion DisorderMental DisordersPsychophysiologic DisordersSeizuresAdolescentAdultAgedComorbidityElectronic Health RecordsEpilepsyFemaleHumansMaleMiddle AgedMood DisordersPrevalencePsychotropic DrugsComorbiditiesEpilepsyFunctional seizuresPsychogenic nonepileptic seizures

Identifiers

PMID40250148
PMCPMC12199279

What OpenQuestion holds

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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.