Evidence map›Paper›PMID 40300122›Full record

Observational studyNeurology2025

Long-Term Follow-Up Results of Antiseizure Medication Withdrawal in Grade 2 and 3 Glioma Patients: A Prospective Observational Study.

Pim B van der Meer, Melissa Kerkhof, Linda Dirven, Marta Fiocco, Maaike J Vos, Mathilde Kouwenhoven, Tjeerd J Postma, Jacoline E C Bromberg, Martin J Van Den Bent, Martin Taphoorn and 1 more

Erratum issuedAbstract readObservational StudyMulticenter Study
In one paragraph

Observational study in Neurology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

11 authors.

Pim B van der MeerDepartment of Neurology, Leiden University Medical Center, the Netherlands.ORCID 0000-0003-3700-8906
Melissa KerkhofDepartment of Neurology, Haaglanden Medical Center, The Hague, the Netherlands.
Linda DirvenDepartment of Neurology, Leiden University Medical Center, the Netherlands.
Marta FioccoDepartment of Biomedical Data Sciences, Section Medical Statistics, Leiden University Medical Center, the Netherlands.
Maaike J VosDepartment of Neurology, Leiden University Medical Center, the Netherlands.
Mathilde KouwenhovenDepartment of Neurology, Amsterdam University Medical Center, the Netherlands; and.ORCID 0000-0001-5252-4365
Tjeerd J PostmaDepartment of Neurology, Amsterdam University Medical Center, the Netherlands; and.
Jacoline E C BrombergDepartment of Neurology, Erasmus MC, Rotterdam, the Netherlands.ORCID 0000-0002-3830-7142
Martin J Van Den BentDepartment of Neurology, Erasmus MC, Rotterdam, the Netherlands.ORCID 0000-0001-5710-5127
Martin TaphoornDepartment of Neurology, Leiden University Medical Center, the Netherlands.
Johan KoekkoekDepartment of Neurology, Leiden University Medical Center, the Netherlands.ORCID 0000-0002-3648-9616

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

BACKGROUND AND

objectivesThe aim of this study was to evaluate the long-term results of seizure recurrence after antiseizure medication (ASM) withdrawal vs continuation in patients with diffuse glioma, grades 2 and 3.

methodsA prospective multicenter observational study was conducted, and patients were recruited from January 2014 until May 2016 from 3 neuro-oncology outpatient clinics in the Netherlands. The main inclusion criteria were as follows: history of ≥1 seizure, for which ASM was started; clinically and radiologically stable disease for ≥12 months; and seizure freedom for ≥12 months from the date of last antitumor treatment or seizure freedom for ≥24 months from the last seizure if seizures occurred after the last antitumor treatment. The primary outcome was time to recurrent seizure. A competing risk model was used to estimate cumulative incidences of recurrent seizure for ASM groups (i.e., ASM withdrawal vs ASM continuation) with death as the competing event. The proportional hazard assumption was violated for the ASM group; therefore, 2 Cox models were constructed for different time intervals (<48 months and ≥48 months since study inclusion).

resultsA total of 71 patients were included (39 men [55%] and 58 older than 40 years [82%]); 46 patients with glioma (65%) were in the ASM withdrawal group and 25 (35%) in the ASM continuation group. The cumulative incidence of a recurrent seizure at 48 and 96 months was 48% (95% CI 33%-61%) and 66% (95% CI 48%-78%) for the ASM withdrawal group vs 28% (95% CI 12%-46%) and 52% (95% CI 31%-70%) for the ASM continuation group. The risk of a recurrent seizure differed in the 2 time intervals between the ASM continuation group (reference) and the ASM withdrawal group (cause-specific adjusted hazard ratio [aHR] 2.32 [95% CI 0.93-5.81], DISCUSSION: Risk of recurrent seizure when withdrawing ASM was not statistically significantly higher in patients continuing ASM. However, a clinically relevant higher percentage of patients had a recurrent seizure in the ASM withdrawal group compared with the ASM continuation group. The lack of a statistical difference may be explained by the small sample size. Larger studies are needed to confirm these findings. Our results suggest that ASM withdrawal should be initiated cautiously and only when necessary. CLASSIFICATION OF EVIDENCE: This study provides Class III evidence that withdrawal of ASM does not significantly increase the risk of recurrent seizures in patients with glioma with stable disease and no seizures for >1 year. Confidence intervals do not exclude a clinically important increased risk of seizures.

Indexed as

AnticonvulsantsBrain NeoplasmsGliomaSeizuresAdultAgedFemaleFollow-Up StudiesHumansMaleMiddle AgedNeoplasm GradingProspective StudiesRecurrenceTime FactorsWithholding TreatmentAnticonvulsants

Identifiers

PMID40300122
PMCPMC12042096

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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.