Evidence map›Paper›PMID 26719496›Full record

ArticleJournal of child neurology2016

Alexander Disease: A Novel Mutation in GFAP Leading to Epilepsia Partialis Continua.

Daniel J Bonthius, Bahri Karacay

Open access · greenAbstract readCase Reports
In one paragraph

Article in Journal of child neurology, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
0.3field-weighted citation impact, top 36% 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

5 citing papers in PubMed, 9 citations in OpenAlex.

  1. Review
  2. Identification of association fibers using ex vivo diffusion tractography in Alexander disease brains.Journal of neuroimaging : official journal of the American Society of Neuroimaging · 2022
    Article
  3. Article
  4. Observational
  5. 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

2 authors at 1 institution in 1 country.

Daniel J BonthiusDivision of Child Neurology, Department of Pediatrics, University of Iowa, Iowa City, IA, USA daniel-bonthius@uiowa.edu.
Bahri KaracayDivision of Child Neurology, Department of Pediatrics, University of Iowa, Iowa City, IA, USA.
University of Iowa · US

Funding

Viral vector-based RNAi therapy for Alexander DiseaseR21NS052432 · NINDS · UNIVERSITY OF IOWA · PI BONTHIUS, DANIEL J. · 2007 to 2008
$355k
NINDS NIH HHS R21 NS052432
6 · The paper itself

Abstract

Alexander disease is a genetically induced leukodystrophy, due to dominant mutations in the glial fibrillary acidic protein (GFAP ) gene, causing dysfunction of astrocytes. We have identified a novel GFAP mutation, associated with a novel phenotype for Alexander disease. A boy with global developmental delay and hypertonia was found to have a leukodystrophy. Genetic analysis revealed a heterozygous point mutation in exon 6 of the GFAP gene. The guanine-to-adenine change causes substitution of the normal glutamic acid codon (GAG) with a mutant lysine codon (AAG) at position 312 (E312 K mutation). At the age of 4 years, the child developed epilepsia partialis continua, consisting of unabating motor seizures involving the unilateral perioral muscles. Epilepsia partialis continua has not previously been reported in association with Alexander disease. Whether and how the E312 K mutation produces pathologic changes and clinical signs that are unique from other Alexander disease-inducing mutations in GFAP remain to be determined.

Indexed as

MutationAlexander DiseaseBrainChild, PreschoolEpilepsia Partialis ContinuaGlial Fibrillary Acidic ProteinHumansMalePhenotypeGlial Fibrillary Acidic Proteinastrocyteepilepsyleukodystrophyregional differencesseizures

Identifiers

PMID26719496
PMCPMC4865433
OpenAlexW2362567074

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.