Table 3 Statistical prediction models for AEDs withdrawal
Study | Study design | Prediction target | Development cohorts | Final factors | Validation cohort | Adjusted concordance-statistic | Calibration |
|---|---|---|---|---|---|---|---|
Lamberink et al. 2017 [25] | Systematic review and meta-analysis | Seizure relapse and long-term outcomes after withdrawal of AEDs | Ten studies with 1 769 patients | Duration before remission, seizure-free interval before AEDs withdrawal, age at onset, history of febrile seizures, number of seizures before remission, epilepsy syndrome, developmental delay, EEG before withdrawal, sex, family history of epilepsy | Internal and external validation | 0.65 for predicting seizure recurrence and 0.71 for predicting long-term seizure freedom | Calibration plots showed good calibration |
Lamberink et al. 2018 [27] | Retrospective | Seizure relapse and outcomes after AEDs withdrawal after pediatric epilepsy surgery | 766 children from 15 European epilepsy centers | Age at withdrawal, time to AEDs reduction, preoperative MRI, postoperative EEG, completeness of resection of the anatomical lesion, average frequency before surgery, number of AEDs at surgery | Internal validation | 0.68 for predicting seizure recurrence and 0.73 for predicting eventual seizure freedom | Calibration plots showed good calibration |