Evidence map›Paper›PMID 26536886›Full record

ArticleJournal of genetic counseling2016

Review of Commercially Available Epilepsy Genetic Panels.

Chelsea Chambers, Laura A Jansen, Radhika Dhamija

Open access · bronzeAbstract read
PubMed Publisher
In one paragraph

Article in Journal of genetic counseling, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 24 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
24citing papers in PubMed, 1 pooled it
5.4field-weighted citation impact, top 4% 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

24 citing papers in PubMed, 1 synthesis or guideline pooled it, 51 citations in OpenAlex.

  1. Pooled it
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  11. Targeted gene sequencing in 6994 individuals with neurodevelopmental disorder with epilepsy.Genetics in medicine : official journal of the American College of Medical Genetics · 2019
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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

3 authors at 1 institution in 1 country.

Chelsea ChambersDepartment of Neurology, University of Virginia, PO Box 800394, Charlottesville, VA, USA.
Laura A JansenDepartment of Neurology, University of Virginia, PO Box 800394, Charlottesville, VA, USA.
Radhika DhamijaDepartment of Neurology, University of Virginia, PO Box 800394, Charlottesville, VA, USA. rd3gz@virginia.edu.
University of Virginia · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Next generation sequencing panels have revolutionized the diagnostic approach to patients with epilepsy. There are several commercial epilepsy panels available. We assessed the list of genes tested and consent forms for epilepsy panels available at seven laboratories. The panels varied in the number of genes included (70-465 genes). In some panels, genes not currently associated with epilepsy were included (up to 4 % of panel content). The panels also included genes for lysosomal storage disorders (6-12 %), congenital disorders of glycosylation (0-8.5 %), metabolic disorders (3.5-34 %), neurological syndromes (18-43 %) and multisystemic genetic syndromes (6.4-21 %). Informed consents differed significantly between laboratories ranging from basic information about genetic testing and possible results to information about insurance, genetic counseling and familial testing, and incidental findings.Our findings suggest that it is important to consider the range of genes offered on epilepsy panels and their predicted phenotypes in an effort toward improving the informed consent process.

Indexed as

Genetic CounselingGenetic TestingHigh-Throughput Nucleotide SequencingInformed ConsentEpilepsyHumansPhenotypeEpilepsyGenetic counsellingNext generation sequencing

Identifiers

PMID26536886
OpenAlexW2164814890

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.