Evidence map›Paper›PMID 23620651›Full record

ArticleActa myologica : myopathies and cardiomyopathies : official journal of the Mediterranean Society of Myology2012

Next generation sequencing (NGS) strategies for the genetic testing of myopathies.

Vincenzo Nigro, Giulio Piluso

Open access · greenAbstract read
In one paragraph

Article in Acta myologica : myopathies and cardiomyopathies : official journal of the Mediterranean Society of Myology, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 22 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
22citing papers in PubMed, 1 pooled it
2.3field-weighted citation impact, top 12% 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

22 citing papers in PubMed, 1 synthesis or guideline pooled it, 28 citations in OpenAlex.

  1. Pooled it
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  6. LGMD. Identification, description and classification.Acta myologica : myopathies and cardiomyopathies : official journal of the Mediterranean Society of Myology · 2020
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  12. De Novo Paternal FBN1 Mutation Detected in Embryos Before Implantation.Medical science monitor : international medical journal of experimental and clinical research · 2017
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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

2 authors at 1 institution in 1 country.

Vincenzo NigroTelethon Institute of Genetics and Medicine, Naples, Italy. vincenzo.nigro@unina2.it
Giulio Piluso
Telethon Institute Of Genetics And Medicine · IT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Next generation sequencing (NGS) technologies offer the possibility to map entire genomes at affordable costs. This brings the genetic testing procedure to a higher level of complexity. The positive aspect is the ease to cope with the complex diagnosis of genetically heterogeneous disorders and to identify novel disease genes. Worries arise from the management of too many DNA variations with unpredictable meaning and incidental findings that can cause ethical and clinical dilemmas. The technology of enrichment makes possible to focus the sequencing to the exome or to a more specific DNA target. This is being used to provide insights into the genetics underlying Mendelian traits involved in myopathies and to set up cost-effective diagnostic tests. This huge potential of the NGS applications makes likely that these will soon become the first approach in genetic diagnostic laboratories.

Indexed as

High-Throughput Nucleotide SequencingSequence Analysis, DNADystrophinHumansMuscular DiseasesMuscular Dystrophy, FacioscapulohumeralDystrophinneuromuscular disordersNext generation sequencingNGS

Identifiers

PMID23620651
PMCPMC3631804
OpenAlexW1505580350

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.