Ontology highlight
ABSTRACT: Objective
To quantify how often anti-seizure medications (ASMs) appear ineffective yet provide benefit when considering seizure frequency (SF) variability.Methods
We used the CHOCOLATES seizure diary simulator to generate 100,000 patient seizure diaries that reflect natural SF variation in a heterogeneous population. Medication effect was modeled as a 20% average SF reduction (standard deviation 10%). We identified how many patients with an observed ≥ 25% SF increase (apparent worsening) actually had a true ≥ 10% SF reduction (vs. no medication), and how many with an observed ≥ 50% SF reduction (apparent responders) would have shown < 0% reduction if not taking the ASM. We also quantified how many individuals who had apparent worsening were actual worsening (> 0% SF increas
SUBMITTER: Henry CN
PROVIDER: S-EPMC12516234 | biostudies-literature | 2025 Oct
REPOSITORIES: biostudies-literature