Evidence map›Paper›PMID 23620711›Full record

ArticleFuture neurology2012

mTOR as a potential treatment target for epilepsy.

Michael Wong

Open access · greenAbstract read
In one paragraph

Article in Future neurology, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
1.7field-weighted citation impact, top 17% of its field
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

8 citing papers in PubMed, 46 citations in OpenAlex.

  1. Review
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  8. Subependymal giant cell astrocytoma: current concepts, management, and future directions.Child's nervous system : ChNS : official journal of the International Society for Pediatric Neurosurgery · 2014
    Review
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 at 1 institution in 1 country.

Michael WongDepartment of Neurology & The Hope Center for Neurological Disorders, Washington University School of Medicine, Box 8111, 660 South Euclid Avenue, St Louis, MO 63110, USA, Tel.: +1 314 362 8713, , wong_m@wustl.edu.
Hope Center for Neurological Disorders · US

Funding

MECHANISMS OF BRAIN DYSFUNCTION IN TUBEROUS SCLEROSISR01NS056872 · NINDS · WASHINGTON UNIVERSITY · PI WONG, MICHAEL · 2006 to 2019
$4.0M
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 R01 NS056872
6 · The paper itself

Abstract

Current treatments for epilepsy suffer from significant limitations, including medical intractability and lack of disease-modifying or anti-epileptogenic actions. As most current seizure medications modulate ion channels and neurotransmitter receptors, more effective therapies likely need to target completely different mechanisms of action. The mammalian target of rapamycin (mTOR) pathway represents a potential novel therapeutic target for epilepsy. mTOR inhibitors can suppress seizures and prevent epilepsy in animal models of certain genetic epilepsies, such as tuberous sclerosis complex. mTOR inhibitors may also be effective in some models of acquired epilepsy related to brain injury, but these effects are more variable and dependent on a number of factors. Some clinical data suggest that mTOR inhibitors decrease seizures in tuberous sclerosis complex patients, but controlled trials are lacking and no clinical data on potential anti-epileptogenic actions exist. Future basic and clinical research will help to determine the full potential of mTOR inhibitors for epilepsy.

Indexed as

epilepsyrapamycinseizuretuberous sclerosis

Identifiers

PMID23620711
PMCPMC3632418
OpenAlexW2074642769

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.