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Dataset Information

The Road Not Taken: Misclassifying an Anti-Seizure Medication as a Failure.


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