Evidence map›Paper›PMID 22936886›Full record

ArticleEpilepsy currents2012

Advances in epilepsy genetics and genomics.

Jennifer A Kearney

Abstract read
In one paragraph

Article in Epilepsy currents, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing 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

6 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Current genomics · 2018
    Article
  5. Article
  6. Genomic biomarkers of SUDEP in brain and heart.Epilepsy & behavior : E&B · 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.

Jennifer A KearneyDivision of Genetic Medicine, Department of Medicine, Vanderbilt University Medical Center, Nashville, TN.

Funding

Combined Approach to the Genetic Basis of EpilepsyR01NS053792 · NINDS · VANDERBILT UNIVERSITY · PI KEARNEY, JENNIFER A · 2006 to 2019
$4.7M
NINDS NIH HHS R01 NS053792
6 · The paper itself

Abstract

Current and emerging technologies for mutation identification are changing the landscape of genetics and accelerating the pace of discovery. Application of high throughput genomic analysis to epilepsy will advance our understanding of the genetic contribution to common forms of epilepsy and suggest novel therapeutic strategies for improved treatment.

Identifiers

PMID22936886
PMCPMC3423212

What OpenQuestion holds

Textmetadata
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.