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Table 1 Statistical prediction models for the response to AEDs treatment

From: Models for predicting treatment efficacy of antiepileptic drugs and prognosis of treatment withdrawal in epilepsy patients

Study Study design Prediction target Development cohort Final factors Validation cohort AUC Stratified risks
Boonluksiri et al. 2015 [16] Retrospective DRE in children 308 cases in Hatyai Hospital in Thailand Age onset, prior neurological deficits and abnormal EEG No 0.76 low risk: < 6 points; moderate risk: 6–12 points; high risk: > 12 points
Yang et al. 2019 [15] Retrospective DRE in adults 132 cases at Henan Provincial People’s Hospital in China EEG before AEDs, history of CNS infection, initial precipitating injuries, and more than one recurrence in the first 6 months No 0.89 low risk: < 3 points; moderate risk: 3–5 points; high risk: > 5 points
Latzer et al. 2019 [17] Retrospective DRE in children with cerebral palsy 281 children with cerebral palsy at the Dana-Dwek Children’s Hospital Low Apgar score at 5 min, neonatal seizures, focal-onset epilepsy and focal slowing on EEG No 0.68 No
  1. DRE Drug resistant epilepsy, AUC Area under the curve, EEG Electroencephalogram, MRI Magnetic resonance imaging, CNS Central nervous system