SynthesisNeurosurgical review2024
Impact of levetiracetam use in glioblastoma: an individual patient-level meta-analysis assessing overall survival.
Synthesis in Neurosurgical review, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.
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.
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.
Who cites it
4 citing papers in PubMed.
- Integrating machine learning and retrospective cohort to explore the effects of AEDs on the prognosis of LGG and identify related molecular targets.BMC pharmacology & toxicology · 2026Article
- Radiomics machine learning model based on multi-sequence MRI for predicting Ki-67 expression level in glioblastoma.Frontiers in molecular biosciences · 2026Article
- Treatment of metastatic ALK-positive non-small cell lung cancer: indirect comparison of different ALK inhibitors using reconstructed patient data.Frontiers in oncology · 2025Article
- Seizure outcomes as an understudied metric in glioma clinical trials: A review of the ClinicalTrials.gov database.Neuro-oncology advancesReview
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
5 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundLevetiracetam (Lev), an antiepileptic drug (AED), enhances alkylating chemotherapy sensitivity in glioblastoma (GB) by inhibiting MGMT expression. This meta-analysis evaluates Lev's impact on GB treatment by analyzing overall survival of individual patient data (IPD) from published studies.
methodsIPD was reconstructed using the R package IPDfromKM. Pooled IPD Kaplan-Meier charts of survival stratified by Lev therapy were created using the R package Survminer. One- and two-stage meta-analyses of Lev treatment regarding survival was performed.
resultsThree articles covering 825 patients were included out of 3567 screened records. Lev usage prevalence was 0.36. IPD from 590 IDH wild-type glioblastomas, with a median follow-up of 16.1 months, were utilized. Pooled data revealed median survival times of 19.2 months (95%CI: 16.4-22.0) for Lev users versus 16.5 months (95%CI: 15.2-17.8) for partial/no use (p = 0.006). One-stage meta-analysis indicated a significant association between Lev use and survival in IDH wild-type GB (HR: 1.33, 95%CI: 1.08-1.64, p = 0.007). Two-stage meta-analysis confirmed these results.
conclusionsThis meta-analysis highlights that Lev use may prolong survival in IDH wild-type GB patients. Further randomized trials are needed to confirm these findings and identify subgroups benefiting most from Lev treatment.
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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.