Evidence map›Paper›PMID 26948360›Full record

ReviewHandbook of clinical neurology2016

Epilepsy and brain tumors.

Dario J Englot, Edward F Chang, Charles J Vecht

Registry-linked trialAbstract readReview
In one paragraph

Review in Handbook of clinical neurology, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT06442748 (Short Versus Long-term Levetiracetam in Brain Tumors), which is not on this map. Cited by 90 papers, 4 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
90citing papers in PubMed, 4 pooled it
46.1field-weighted citation impact, top 1% of its field
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.

NCT06442748 phase3recruitingnot on this mapstarted 2024, after this paper: background citation

Short Versus Long-term Levetiracetam in Brain Tumors: A Phase 3 Randomized Controlled Trial (LIBRA)

TypeinterventionalSponsorTata Memorial CentreRan2024 to 2031Enrolled604ConditionsSeizures, Brain Tumors, Antiepileptics, LevetiracetamArmsLevetiracetam
3 · Its place in the literature

Who cites it

90 citing papers in PubMed, 4 syntheses or guidelines pooled it, 237 citations in OpenAlex.

  1. A systematic review of the implementation of cancer-specific holistic needs assessment (HNA) in adult clinical practice, and applicability to the brain tumour population.Supportive care in cancer : official journal of the Multinational Association of Supportive Care in Cancer · 2026
    Pooled it
  2. Guideline
  3. Pooled it
  4. Pooled it
  5. Article
  6. Article
  7. Obstacles and Trials in Treating Primary Brain Tumors.International journal of molecular sciences · 2026
    Review
  8. Pediatric meningioma and seizures: a single-center cohort study.Child's nervous system : ChNS : official journal of the International Society for Pediatric Neurosurgery · 2026
    Review
  9. Article
  10. Article
  11. Review
  12. Review
  13. Article
  14. The molecular landscape of glioblastoma-associated epilepsy.Journal of molecular medicine (Berlin, Germany) · 2025
    Review
  15. Review
  16. Article
  17. Review
  18. Article
  19. Article
  20. Article

30 more citing papers are in PubMed but not listed here.

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

3 authors at 2 institutions in 2 countries.

Dario J EnglotUCSF Comprehensive Epilepsy Center, University of California San Francisco, San Francisco, California, USA; Department of Neurological Surgery, University of California San Francisco, San Francisco, California, USA.
Edward F ChangUCSF Comprehensive Epilepsy Center, University of California San Francisco, San Francisco, California, USA; Department of Neurological Surgery, University of California San Francisco, San Francisco, California, USA.
Charles J VechtService Neurologie Mazarin, Groupe Hospitalier Pitié-Salpêtrière, Paris, France. Electronic address: charlesvecht@icloud.com.
Neurological Surgery · USPitié-Salpêtrière Hospital · FR

Funding

Resting-State Functional Connectivity Analysis in Focal Neocortical EpilepsyF32NS086353 · NINDS · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI ENGLOT, DARIO J · 2014 to 2014
$59k
NINDS NIH HHS F32 NS086353
6 · The paper itself

Abstract

Seizures are common in patients with brain tumors, and epilepsy can significantly impact patient quality of life. Therefore, a thorough understanding of rates and predictors of seizures, and the likelihood of seizure freedom after resection, is critical in the treatment of brain tumors. Among all tumor types, seizures are most common with glioneuronal tumors (70-80%), particularly in patients with frontotemporal or insular lesions. Seizures are also common in individuals with glioma, with the highest rates of epilepsy (60-75%) observed in patients with low-grade gliomas located in superficial cortical or insular regions. Approximately 20-50% of patients with meningioma and 20-35% of those with brain metastases also suffer from seizures. After tumor resection, approximately 60-90% are rendered seizure-free, with most favorable seizure outcomes seen in individuals with glioneuronal tumors. Gross total resection, earlier surgical therapy, and a lack of generalized seizures are common predictors of a favorable seizure outcome. With regard to anticonvulsant medication selection, evidence-based guidelines for the treatment of focal epilepsy should be followed, and individual patient factors should also be considered, including patient age, sex, organ dysfunction, comorbidity, or cotherapy. As concomitant chemotherapy commonly forms an essential part of glioma treatment, enzyme-inducing anticonvulsants should be avoided when possible. Seizure freedom is the ultimate goal in the treatment of brain tumor patients with epilepsy, given the adverse effects of seizures on quality of life.

Indexed as

Brain NeoplasmsEpilepsyGliomaHumansanticonvulsantepilepsygliomaglioneuronal tumormeningiomametastasisoutcomeseizure

Identifiers

PMID26948360
PMCPMC4803433
OpenAlexW2300775334

What OpenQuestion holds

Textmetadata
LicenceTDM
Read underepoch 390

Registered trials

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.