Evidence map›Paper›PMID 29305133›Full record

ArticleNeuromuscular disorders : NMD2018

Phenotypic stratification and genotype-phenotype correlation in a heterogeneous, international cohort of GNE myopathy patients: First report from the GNE myopathy Disease Monitoring Program, registry portion.

Oksana Pogoryelova, Phillip Cammish, Hank Mansbach, Zohar Argov, Ichizo Nishino, Alison Skrinar, Yiumo Chan, Shahriar Nafissi, Hosein Shamshiri, Emil Kakkis and 1 more

Open access · hybridAbstract read
In one paragraph

Article in Neuromuscular disorders : NMD, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 35 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
35citing papers in PubMed, 1 pooled it
2.9field-weighted citation impact, top 8% 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

35 citing papers in PubMed, 1 synthesis or guideline pooled it, 63 citations in OpenAlex.

  1. Pooled it
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  6. Journal of neuromuscular diseases · 2026
    Article
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  9. Long term clinical follow-up and natural history in a cohort of Italian patients with GNE myopathy: the experience of a single centre.Neurological sciences : official journal of the Italian Neurological Society and of the Italian Society of Clinical Neurophysiology · 2025
    Article
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  16. RecessiveGenes · 2024
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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

11 authors at 5 institutions in 5 countries.

Oksana PogoryelovaThe John Walton Muscular Dystrophy Research Centre, Newcastle University, UK. Electronic address: Oksana.pogoryelova@ncl.ac.uk.
Phillip CammishThe John Walton Muscular Dystrophy Research Centre, Newcastle University, UK.
Hank MansbachUltragenyx Pharmaceutical Inc. Novato, CA, USA.
Zohar ArgovDepartment of Neurology, Hadassah-Hebrew University Medical Center, Jerusalem, Israel.
Ichizo NishinoDepartment of Neuromuscular Research, National Institute of Neuroscience, National Center of Neurology and Psychiatry, Tokyo, Japan.
Alison SkrinarUltragenyx Pharmaceutical Inc. Novato, CA, USA.
Yiumo ChanUltragenyx Pharmaceutical Inc. Novato, CA, USA.
Shahriar NafissiDepartment of Neurology, Tehran University of Medical Sciences, Tehran, Iran.
Hosein ShamshiriDepartment of Neurology, Tehran University of Medical Sciences, Tehran, Iran.
Emil KakkisUltragenyx Pharmaceutical Inc. Novato, CA, USA.
Hanns LochmüllerThe John Walton Muscular Dystrophy Research Centre, Newcastle University, UK.
Ultragenyx Pharmaceutical (United States) · USMuscular Dystrophy UK · GBTehran University of Medical Sciences · IRHadassah Medical Center · ILNational Center of Neurology and Psychiatry · JP

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

GNE myopathy is a rare distal myopathy, caused by mutations in the GNE gene, affecting sialic acid synthesis. Clinical presentation varies from asymptomatic early stage patients to severely debilitating forms. This first report describes clinical presentations and severity of the disease, using data of 150 patients collected via the on-line, patient-reported registry component of the GNE Myopathy Disease Monitoring Program (GNEM-DMP). Disease progression was prospectively analysed, over a 2-year period, using the GNE myopathy functional activity scale (GNEM-FAS). The average annual rates of decline in function were estimated at -9.6% and -3.2% in ambulant and non-ambulant patients respectively. 4.3% of participants became non-ambulant within one year. The mean time from onset to required use of a wheelchair was 11.9 years. Mean delay of genetic diagnosis from symptom onset was 5.2 years. Mutation specific analysis demonstrated genotype-phenotype relationships; i.e. p.Ala662Val may be associated with a more severe phenotype, compared to p.Val727Met. Patients with compound heterozygous mutation in epimerase and kinase domain appeared to have a more severe phenotype compared to patients with both mutations located within one domain. Acknowledging the limitations of the study, these findings suggest that the severity of the GNE mutations affects disease severity. The GNEM-DMP is a useful data collection tool, prospectively measuring the progression of GNE myopathy, which could play an important role in translational and clinical research and further understanding of genotype-phenotype correlations.

Indexed as

AdultAgedCohort StudiesDisease ProgressionDistal MyopathiesFemaleGenetic Association StudiesHumansInternationalityMaleMiddle AgedMultienzyme ComplexesPhenotypeRegistriesSeverity of Illness IndexYoung AdultMultienzyme ComplexesUDP-N-acetylglucosamine 2-epimerase - N-acetylmannosamine kinaseDistal myopathyEpidemiologyGenotype-phenotype correlationGNE myopathyHereditary inclusion body myopathyRare neuromuscular disorders

Identifiers

PMID29305133
PMCPMC5857291
OpenAlexW2769245154

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.