felbamate and fenfluramine

felbamate has been researched along with fenfluramine in 4 studies

Research

Studies (4)

Timeframe	Studies, this research(%)	All Research%
pre-1990	0 (0.00)	18.7374
1990's	0 (0.00)	18.2507
2000's	1 (25.00)	29.6817
2010's	1 (25.00)	24.3611
2020's	2 (50.00)	2.80

Authors

Authors	Studies
Benz, RD; Contrera, JF; Kruhlak, NL; Matthews, EJ; Weaver, JL	1
Glen, RC; Lowe, R; Mitchell, JB	1
Battino, D; Bromley, R; Kochen, S; Meador, KJ; Pennell, PB; Thomas, SV; Tomson, T	1
Schubert-Bast, S; Strzelczyk, A	1

Reviews

2 review(s) available for felbamate and fenfluramine

Article	Year
Breastfeeding while on treatment with antiseizure medications: a systematic review from the ILAE Women Task Force Epileptic disorders : international epilepsy journal with videotape, 2022, 12-01, Volume: 24, Issue:6 Topics: Breast Feeding; Cannabidiol; Carbamazepine; Child; Clobazam; Clonazepam; Epilepsy; Ethosuximide; Everolimus; Felbamate; Female; Fenfluramine; Gabapentin; Humans; Infant; Lacosamide; Lamotrigine; Levetiracetam; Oxcarbazepine; Phenobarbital; Phenytoin; Prospective Studies; Tiagabine; Topiramate; Valproic Acid; Vigabatrin; Zonisamide	2022
Psychobehavioural and Cognitive Adverse Events of Anti-Seizure Medications for the Treatment of Developmental and Epileptic Encephalopathies. CNS drugs, 2022, Volume: 36, Issue:10 Topics: Autism Spectrum Disorder; Bromides; Cannabidiol; Clobazam; Cognition; Ethosuximide; Everolimus; Felbamate; Fenfluramine; Humans; Lacosamide; Lamotrigine; Levetiracetam; Pregabalin; Spasms, Infantile; Sulfides; Topiramate; Valproic Acid; Vigabatrin; Zinc Compounds; Zonisamide	2022

Article

Year

Breastfeeding while on treatment with antiseizure medications: a systematic review from the ILAE Women Task Force

Epileptic disorders : international epilepsy journal with videotape, 2022, 12-01, Volume: 24, Issue:6

Topics: Breast Feeding; Cannabidiol; Carbamazepine; Child; Clobazam; Clonazepam; Epilepsy; Ethosuximide; Everolimus; Felbamate; Female; Fenfluramine; Gabapentin; Humans; Infant; Lacosamide; Lamotrigine; Levetiracetam; Oxcarbazepine; Phenobarbital; Phenytoin; Prospective Studies; Tiagabine; Topiramate; Valproic Acid; Vigabatrin; Zonisamide

2022

Psychobehavioural and Cognitive Adverse Events of Anti-Seizure Medications for the Treatment of Developmental and Epileptic Encephalopathies.

CNS drugs, 2022, Volume: 36, Issue:10

Topics: Autism Spectrum Disorder; Bromides; Cannabidiol; Clobazam; Cognition; Ethosuximide; Everolimus; Felbamate; Fenfluramine; Humans; Lacosamide; Lamotrigine; Levetiracetam; Pregabalin; Spasms, Infantile; Sulfides; Topiramate; Valproic Acid; Vigabatrin; Zinc Compounds; Zonisamide

2022

Other Studies

2 other study(ies) available for felbamate and fenfluramine

Article	Year
Assessment of the health effects of chemicals in humans: II. Construction of an adverse effects database for QSAR modeling. Current drug discovery technologies, 2004, Volume: 1, Issue:4 Topics: Adverse Drug Reaction Reporting Systems; Artificial Intelligence; Computers; Databases, Factual; Drug Prescriptions; Drug-Related Side Effects and Adverse Reactions; Endpoint Determination; Models, Molecular; Quantitative Structure-Activity Relationship; Software; United States; United States Food and Drug Administration	2004
Predicting phospholipidosis using machine learning. Molecular pharmaceutics, 2010, Oct-04, Volume: 7, Issue:5 Topics: Animals; Artificial Intelligence; Databases, Factual; Drug Discovery; Humans; Lipidoses; Models, Biological; Phospholipids; Support Vector Machine	2010

Article

Year

Assessment of the health effects of chemicals in humans: II. Construction of an adverse effects database for QSAR modeling.

Current drug discovery technologies, 2004, Volume: 1, Issue:4

Topics: Adverse Drug Reaction Reporting Systems; Artificial Intelligence; Computers; Databases, Factual; Drug Prescriptions; Drug-Related Side Effects and Adverse Reactions; Endpoint Determination; Models, Molecular; Quantitative Structure-Activity Relationship; Software; United States; United States Food and Drug Administration

2004

Predicting phospholipidosis using machine learning.

Molecular pharmaceutics, 2010, Oct-04, Volume: 7, Issue:5

Topics: Animals; Artificial Intelligence; Databases, Factual; Drug Discovery; Humans; Lipidoses; Models, Biological; Phospholipids; Support Vector Machine

2010