Evidence map›Paper›PMID 21354270›Full record

ReviewNeuroscience letters2011

Targets for preventing epilepsy following cortical injury.

Huifang Li, Whitney McDonald, Isabel Parada, Leonardo Faria, Kevin Graber, D Koji Takahashi, Yunyong Ma, David Prince

Abstract readReview
In one paragraph

Review in Neuroscience letters, 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing 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

12 citing papers in PubMed.

  1. Review
  2. Review
  3. Article
  4. Article
  5. Article
  6. Article
  7. Review
  8. Article
  9. Review
  10. Article
  11. Article
  12. Article
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

8 authors.

Huifang LiEpilepsy Research Laboratory, Department of Neurology and Neurological Sciences, Stanford University Sch. of Medicine, 300 Pasteur Dr., Stanford, CA 94305, United States.
Whitney McDonald
Isabel Parada
Leonardo Faria
Kevin Graber
D Koji Takahashi
Yunyong Ma
David Prince

Funding

REGULATION OF NEURONAL EXCITABILITY IN CHRONIC EPILEPTOGENESISP50NS012151 · NINDS · STANFORD UNIVERSITY · PI BUCKMASTER, PAUL S. · 1985 to 2007
$9.1M
CELLULAR MECHANISMS IN FOCAL EPILEPTOGENESISR01NS006477 · NINDS · STANFORD UNIVERSITY · PI HUGUENARD, JOHN R · 1985 to 2013
$5.0M
Epilepsy Research ProgramP01NS012151 · NINDS · STANFORD UNIVERSITY · PI HUGUENARD, JOHN R · 2008 to 2011
$4.4M
MODULATION OF NEOCORTICAL INTERNEURONAL FUNCTIONR01NS039579 · NINDS · STANFORD UNIVERSITY · PI HUGUENARD, JOHN R, PRINCE, DAVID ALLAN · 2000 to 2013
$4.3M
Modulation of Neocortical Interneuronal FunctionR56NS039579 · NINDS · STANFORD UNIVERSITY · PI PRINCE, DAVID ALLAN · 2014 to 2014
$402k
NINDS NIH HHS NS 12151NINDS NIH HHS NS 39579NINDS NIH HHS P01 NS012151NINDS NIH HHS P50 NS012151NINDS NIH HHS R01 NS006477NINDS NIH HHS R01 NS039579NINDS NIH HHS R56 NS039579
6 · The paper itself

Abstract

Prophylaxis of posttraumatic epilepsy will require a detailed knowledge of the epileptogenic pathophysiological processes that follow brain injury. Results from studies of experimental models and human epilepsy highlight alterations in GABAergic interneurons and formation of excessive new excitatory synaptic connectivity as prominent targets for prophylactic therapies. Promising laboratory results suggest that it will be possible to experimentally modify these aberrant processes and interfere with epileptogenesis. However, a number of key issues must be addressed before these results can be used to frame clinical antiepileptogenic therapy.

Indexed as

Disease Models, AnimalAnimalsAnticonvulsantsBrainBrain InjuriesEpilepsyHumansRatsAnticonvulsants

Identifiers

PMID21354270
PMCPMC3409878

What OpenQuestion holds

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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.