Evidence map›Paper›PMID 23739003›Full record

ReviewExpert review of neurotherapeutics2013

A critical review of mTOR inhibitors and epilepsy: from basic science to clinical trials.

Michael Wong

Abstract readReview
In one paragraph

Review in Expert review of neurotherapeutics, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 60 papers.

0numbers the graph read from it
0cells of the map it votes in
60citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

60 citing papers in PubMed.

  1. Article
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  3. Review
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  9. Review
  10. The Interaction ofCells · 2022
    Review
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  12. Article
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

1 author.

Michael WongDepartment of Neurology and the Hope Center for Neurological Disorders, Washington University School of Medicine, St Louis, MO 63110, USA. wong_m@wustl.edu

Funding

MECHANISMS OF BRAIN DYSFUNCTION IN TUBEROUS SCLEROSISR01NS056872 · NINDS · WASHINGTON UNIVERSITY · PI WONG, MICHAEL · 2006 to 2019
$4.0M
MECHANISMS OF SEIZURE-INDUCED DENDRITIC INJURYR01NS079321 · NINDS · WASHINGTON UNIVERSITY · PI WONG, MICHAEL · 2013 to 2017
$1.7M
Potential EEG biomarkers and antiepileptogenic strategies for epilepy in TSCP20NS080199 · NINDS · UNIVERSITY OF ALABAMA AT BIRMINGHAM · PI BEBIN, MARTINA · 2012 to 2014
$966k
NINDS NIH HHS P20 NS080199NINDS NIH HHS P20NS080199NINDS NIH HHS R01 NS056872NINDS NIH HHS R01NS056872NINDS NIH HHS R01 NS079321NINDS NIH HHS R01NS079321
6 · The paper itself

Abstract

Present medications for epilepsy have substantial limitations, such as medical intractability in many patients and lack of antiepileptogenic properties to prevent epilepsy. Drugs with novel mechanisms of action are needed to overcome these limitations. The mTOR signaling pathway has emerged as a possible therapeutic target for epilepsy. Preliminary clinical trials suggest that mTOR inhibitors reduce seizures in tuberous sclerosis complex (TSC) patients with intractable epilepsy. Furthermore, mTOR inhibitors have antiepileptogenic properties in preventing epilepsy in animal models of TSC. Besides TSC, accumulating preclinical data suggest that mTOR inhibitors may have antiseizure or antiepileptogenic actions in other types of epilepsy, including infantile spasms, neonatal hypoxic seizures, absence epilepsy and acquired temporal lobe epilepsy following brain injury, but these effects depend on a number of conditions. Future clinical and basic research is needed to establish whether mTOR inhibitors are an effective treatment for epilepsy.

Indexed as

AnimalsAnticonvulsantsClinical Trials as TopicEpilepsyHumansSignal TransductionTOR Serine-Threonine KinasesAnticonvulsantsTOR Serine-Threonine Kinases

Identifiers

PMID23739003
PMCPMC3875463

What OpenQuestion holds

Textmetadata
LicenceTDM
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.