Evidence map›Paper›PMID 26886200›Full record

ArticleJournal of neurology2016

Utility of a next-generation sequencing-based gene panel investigation in German patients with genetically unclassified limb-girdle muscular dystrophy.

Marius Kuhn, Dieter Gläser, Pushpa Raj Joshi, Stephan Zierz, Stephan Wenninger, Benedikt Schoser, Marcus Deschauer

Abstract read
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Article in Journal of neurology, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 26 papers.

0numbers the graph read from it
0cells of the map it votes in
26citing papers in PubMed
3.8field-weighted citation impact, top 7% 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

26 citing papers in PubMed, 62 citations in OpenAlex.

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  18. Myalgia in 30 Patients with Suspected Myopathy.International journal of environmental research and public health · 2020
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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

7 authors at 4 institutions in 1 country.

Marius KuhnGenetikum, Neu-Ulm, Germany.
Dieter GläserGenetikum, Neu-Ulm, Germany.
Pushpa Raj JoshiKlinik und Poliklinik für Neurologie, Universität Halle-Wittenberg, Halle, Germany.
Stephan ZierzKlinik und Poliklinik für Neurologie, Universität Halle-Wittenberg, Halle, Germany.
Stephan WenningerFriedrich-Baur-Institut, Neurologische Klinik, Ludwig-Maximilians-Universität München, Munich, Germany.
Benedikt SchoserFriedrich-Baur-Institut, Neurologische Klinik, Ludwig-Maximilians-Universität München, Munich, Germany.
Marcus DeschauerKlinik und Poliklinik für Neurologie, Universität Halle-Wittenberg, Halle, Germany. deschauer@lrz.tum.de.
Klinik und Poliklinik für Neurologie · DELudwig-Maximilians-Universität München · DEGenetikum · DEUniversität Ulm · DE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Limb-girdle muscular dystrophies (LGMDs) are genetically heterogeneous and the diagnostic work-up including conventional genetic testing using Sanger sequencing remains complex and often unsatisfactory. We performed targeted sequencing of 23 LGMD-related genes and 15 genes in which alterations result in a similar phenotype in 58 patients with genetically unclassified LGMDs. A genetic diagnosis was possible in 19 of 58 patients (33 %). LGMD2A was the most common form, followed by LGMD2L and LGMD2I. In two patients, pathogenic mutations were identified in genes that are not classified as LGMD genes (glycogen branching enzyme and valosin-containing protein). Thus, a focused next-generation sequencing-based gene panel is a rather satisfactory tool for the diagnosis in unclassified LGMDs.

Indexed as

AdultAgedDNA Mutational AnalysisFemaleGermanyHigh-Throughput Nucleotide SequencingHumansMaleMiddle AgedMuscular Dystrophies, Limb-GirdleYoung AdultGene panelLimb-girdle muscular dystrophiesTargeted next-generation sequencing

Identifiers

PMID26886200
OpenAlexW2280467448

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.