Evidence map›Paper›PMID 41836883›Full record

ArticleNeurology. Genetics2026

Genetic Landscape and Diagnostic Outcomes of UK Patients With Congenital Myopathies and Muscular Dystrophies Over a 10-Year Period.

Gianpaolo Cicala, Jo Mccauley, Rahul Phadke, Juliane Mueller, Stephanie Ann Robb, Adnan Y Manzur, Pinki Munot, Giovanni Baranello, Mariacristina Scoto, Francesco Saverio Tedesco and 4 more

Abstract read
In one paragraph

Article in Neurology. Genetics, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
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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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

14 authors.

Gianpaolo CicalaThe Dubowitz Neuromuscular Centre, University College London, and MRC Centre for Neuromuscular Diseases, Neurosciences Unit, Great Ormond Street Hospital, United Kingdom.ORCID https://orcid.org/0009-0005-9997-8029
Jo MccauleyGenetics Laboratory, Synnovis Analytics, Guy's Hospital, London, United Kingdom.ORCID https://orcid.org/0009-0009-8397-0662
Rahul PhadkeThe Dubowitz Neuromuscular Centre, University College London, and MRC Centre for Neuromuscular Diseases, Neurosciences Unit, Great Ormond Street Hospital, United Kingdom.ORCID https://orcid.org/0000-0001-9699-2718
Juliane MuellerThe Dubowitz Neuromuscular Centre, University College London, and MRC Centre for Neuromuscular Diseases, Neurosciences Unit, Great Ormond Street Hospital, United Kingdom.ORCID https://orcid.org/0009-0005-9831-8926
Stephanie Ann RobbThe Dubowitz Neuromuscular Centre, University College London, and MRC Centre for Neuromuscular Diseases, Neurosciences Unit, Great Ormond Street Hospital, United Kingdom.ORCID https://orcid.org/0009-0002-5712-2546
Adnan Y ManzurThe Dubowitz Neuromuscular Centre, University College London, and MRC Centre for Neuromuscular Diseases, Neurosciences Unit, Great Ormond Street Hospital, United Kingdom.
Pinki MunotThe Dubowitz Neuromuscular Centre, University College London, and MRC Centre for Neuromuscular Diseases, Neurosciences Unit, Great Ormond Street Hospital, United Kingdom.ORCID https://orcid.org/0000-0001-9900-798X
Giovanni BaranelloThe Dubowitz Neuromuscular Centre, University College London, and MRC Centre for Neuromuscular Diseases, Neurosciences Unit, Great Ormond Street Hospital, United Kingdom.ORCID https://orcid.org/0000-0003-4871-6692
Mariacristina ScotoThe Dubowitz Neuromuscular Centre, University College London, and MRC Centre for Neuromuscular Diseases, Neurosciences Unit, Great Ormond Street Hospital, United Kingdom.ORCID https://orcid.org/0000-0002-7320-6443
Francesco Saverio TedescoThe Dubowitz Neuromuscular Centre, University College London, and MRC Centre for Neuromuscular Diseases, Neurosciences Unit, Great Ormond Street Hospital, United Kingdom.ORCID https://orcid.org/0000-0001-5321-7682
Rachael A MeinGenomics Unit, NHS England, Wellington House, London, United Kingdom; and.ORCID https://orcid.org/0000-0003-1620-5476
Cheryl WalshGenetics Laboratory, Synnovis Analytics, Guy's Hospital, London, United Kingdom.ORCID https://orcid.org/0009-0001-6718-7848
Francesco MuntoniThe Dubowitz Neuromuscular Centre, University College London, and MRC Centre for Neuromuscular Diseases, Neurosciences Unit, Great Ormond Street Hospital, United Kingdom.ORCID https://orcid.org/0000-0002-9102-5232
Anna SarkozyThe Dubowitz Neuromuscular Centre, University College London, and MRC Centre for Neuromuscular Diseases, Neurosciences Unit, Great Ormond Street Hospital, United Kingdom.ORCID https://orcid.org/0000-0002-1353-0583

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background and Objectives: Congenital myopathies (CMYOs) and congenital muscular dystrophies (CMDs) are rare, clinically and genetically heterogeneous neuromuscular conditions characterized by muscle weakness, usually with onset at birth or in the first few months of life. Next-generation sequencing (NGS) has significantly enhanced diagnostic capabilities and transformed the diagnostic process for such rare conditions. The aim of this study was to describe the outcomes of NGS analysis and genotypic prevalence among patients with CMYO and CMD referred for diagnostic assessment to the National Highly Specialized Service (HSS) at the Dubowitz Neuromuscular Centre in London, United Kingdom, over a period of 10 years. Methods: Diagnostic outcomes of all referrals to the HSS for NGS analysis of CMYO and/or CMD gene panels from 2014 to 2023 were included and reviewed. Results: A total of 1,927 patients were referred to the service, and a total of 2,352 genetic analyses were completed over 10 years. Overall, 553 of 1,927 unrelated individuals (28.7%) had a genetic diagnosis of CMYO or CMD, due to pathogenic variant/s in one of 59 genes. A total of 345 patients had a diagnosis of CMYO and 208 had CMD. The most common CMYOs were due to pathogenic variants in Discussion: This large, real-world cohort provides a comprehensive overview of the genetic distribution of CMYO and CMD in routine practice. Our findings offer a robust framework to guide diagnostic strategies, inform variant interpretation, and support clinical decision making in the genomic era.

Identifiers

PMID41836883
PMCPMC12983527

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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.