ArticleNeuro-oncology2026
RANO seizure working group-Tumor-Related Epilepsy Assessment Tool (RANO-TREAT) to assess seizure control for glioma treatment trials and clinical practice.
Article in Neuro-oncology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.
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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.
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Who cites it
3 citing papers in PubMed.
- Seizure-Related Deterioration in Treated Glioma: A Narrative Review of Nonconvulsive Status Epilepticus, Peri-Ictal Pseudoprogression, Treatment-Related Change, and True Progression.Diagnostics (Basel, Switzerland) · 2026Review
- Review
- Seizure outcomes as an understudied metric in glioma clinical trials: A review of the ClinicalTrials.gov database.Neuro-oncology advancesReview
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Authors and funding
25 authors.
Funding
Abstract
backgroundNo standardized method exists for seizure assessment in glioma clinical trials. We describe the development and evaluation of RANO-TREAT (Tumor Related Epilepsy Assessment Tool) for seizure assessment and its association with changes on brain MRI.
methodsPatients with glioma/glioneuronal tumors and ≥ 1 prior seizure along with clinicians completed RANO-TREAT in conjunction with brain MRIs, yielding multiple RANO-TREAT scores at clinic visits over time. Unweighted (primary) and weighted (post-hoc) scores were correlated with disease progression via MRI in all patients and patients with IDHmt tumors, separately. Cohorts were randomly split by patient into cohort-specific training and validation sets. Weights for RANO-TREAT items were defined by multivariable generalized estimating equation models in cohort-specific training sets and validated in cohort-specific validation sets. A nomogram was developed using overall cohort training and validation sets.
resultsFour hundred and ninety patients (310 IDHmt tumors) had ≥ 1 visits and 285 patients (168 IDHmt tumors) had ≥ 2 visits. Unweighted RANO-TREAT scores (OR:1.01; 95%CI:0.998-1.02; P = .13) and score changes (OR:1.00; 95%CI:0.99-1.02; P = .63) were not associated with progressive disease on MRI. Post-hoc analysis using training and validation sets demonstrated weighted RANO-TREAT scores were correlated with progressive disease in both overall cohort validation set (OR:2.51; 95%CI:1.80-3.52; P < .0001) and IDHmt cohort validation set (OR:4.53; 95%CI:2.11-9.75; P = .0001). Weighted analyses for patients with ≥ 2 visits showed similar associations in validation sets.
conclusionsThis prospective study suggests an association of seizure control evaluated by a new standardized tool with disease progression in glioma. This tool requires further systematic evaluation in glioma clinical trials alongside more traditional endpoints.
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