Individualised prediction model of seizure recurrence and long-term outcomes after withdrawal of antiepileptic drugs in seizure-free patients: a systematic review and individual participant data meta-analysis
Top Cited Papers
- 1 July 2017
- journal article
- research article
- Published by Elsevier in The Lancet Neurology
- Vol. 16 (7) , 523-531
Abstract
No abstract availableKeywords
This publication has 33 references indexed in Scilit:
- Developing and validating risk prediction models in an individual participant data meta-analysisBMC Medical Research Methodology, 2014
- Prognosis Research Strategy (PROGRESS) 3: Prognostic Model ResearchPLOS Medicine, 2013
- Seizure recurrence after antiepileptic drug withdrawal and the implications for driving: further results from the MRC Antiepileptic Drug Withdrawal Study and a systematic reviewJournal of Neurology, Neurosurgery & Psychiatry, 2011
- AED discontinuation may be dangerous for seizure-free patientsJournal of Neural Transmission, 2010
- AED discontinuation may not be dangerous in seizure-free patientsJournal of Neural Transmission, 2010
- Recurrence risk after withdrawal of antiepileptic drugs in children with epilepsy: A prospective studyEuropean Journal of Paediatric Neurology, 2010
- Adverse antiepileptic drug effectsNeurology, 2009
- The experience of discontinuing antiepileptic drug treatment: An exploratory investigationSeizure: European Journal of Epilepsy, 2008
- Consequences of antiepileptic drug withdrawal: A randomized, double‐blind study (Akershus Study)Epilepsia, 2007
- Uncontrolled epilepsy following discontinuation of antiepileptic drugs in seizure-free patients: a review of current clinical experienceActa Neurologica Scandinavica, 2005