Evidence map›Paper›PMID 29720203›Full record

ArticleOrphanet journal of rare diseases2018

Detection rate of causal variants in severe childhood epilepsy is highest in patients with seizure onset within the first four weeks of life.

David Staněk, Petra Laššuthová, Katalin Štěrbová, Markéta Vlčková, Jana Neupauerová, Marcela Krůtová, Pavel Seeman

Abstract read
In one paragraph

Article in Orphanet journal of rare diseases, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed, 1 pooled it
–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

10 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Article
  3. Preliminary Study on Clinical Characteristics and Pathogenesis ofPharmacogenomics and personalized medicine · 2024
    Article
  4. Article
  5. Article
  6. Clinical analysis ofPediatric investigation · 2022
    Article
  7. Review
  8. Prot2HG: a database of protein domains mapped to the human genome.Database : the journal of biological databases and curation · 2020
    Article
  9. Article
  10. BiallelicJournal of central nervous system disease · 2019
    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

7 authors.

David StaněkDepartment of Paediatric Neurology, DNA Laboratory, 2nd Faculty of Medicine, Charles University in Prague and University Hospital Motol, Prague, Czech Republic. david.stanek@lfmotol.cuni.cz.ORCID 0000-0002-2583-2562
Petra LaššuthováDepartment of Paediatric Neurology, DNA Laboratory, 2nd Faculty of Medicine, Charles University in Prague and University Hospital Motol, Prague, Czech Republic.
Katalin ŠtěrbováDepartment of Paediatric Neurology, 2nd Faculty of Medicine, Charles University in Prague and University Hospital Motol, Prague, Czech Republic.
Markéta VlčkováDepartment of Biology and Medical Genetics, 2nd Faculty of Medicine, Charles University and University Hospital Motol, Prague, Czech Republic.
Jana NeupauerováDepartment of Paediatric Neurology, DNA Laboratory, 2nd Faculty of Medicine, Charles University in Prague and University Hospital Motol, Prague, Czech Republic.
Marcela KrůtováDepartment of Medical Microbiology, 2nd Faculty of Medicine, Charles University and University Hospital Motol, Prague, Czech Republic.
Pavel SeemanDepartment of Paediatric Neurology, DNA Laboratory, 2nd Faculty of Medicine, Charles University in Prague and University Hospital Motol, Prague, Czech Republic.

Funding

Ministerstvo Zdravotnictví Ceské Republiky AZV 15-33041
6 · The paper itself

Abstract

backgroundEpilepsy is a heterogeneous disease with a broad phenotypic spectrum and diverse genotypes. A significant proportion of epilepsies has a genetic aetiology. In our study, a custom designed gene panel with 112 genes known to be associated with epilepsies was used. In total, one hundred and fifty-one patients were tested (86 males / 65 females).

resultsIn our cohort, the highest probability for the identification of the cause of the disease was for patients with a seizure onset within the first four weeks of life (61.9% clarification rate) - about two times more than other groups. The level of statistical significance was determined using a chi-square analysis. From 112 genes included in the panel, suspicious and rare variants were found in 53 genes (47.3%). Among the 151 probands included in the study we identified pathogenic variants in 39 patients (25.8%), likely pathogenic variants in three patients (2%), variants of uncertain significance in 40 patients (26.5%) and likely benign variants in 69 patients (45.7%).

conclusionOur report shows the utility of diagnostic genetic testing of severe childhood epilepsies in a large cohort of patients with a diagnostic rate of 25.8%. A gene panel can be considered as a method of choice for the detection of pathogenic variants within patients with unknown origin of early onset severe epilepsy.

Indexed as

ChildChild, PreschoolChi-Square DistributionEpilepsyFemaleGenetic Predisposition to DiseaseHumansInfantMaleMutationSeizuresSpasms, InfantileEpilepsyEpileptic encephalopathyKCNQ2MPSPhenotypeTargeted gene panel testing

Identifiers

PMID29720203
PMCPMC5932755

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Registered trials

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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.