Evidence map›Paper›PMID 30931400›Full record

ArticleEmerging topics in life sciences2019

Targeted therapies for congenital myasthenic syndromes: systematic review and steps towards a treatabolome.

Rachel Thompson, Gisèle Bonne, Paolo Missier, Hanns Lochmüller

Open access · hybridAbstract read
In one paragraph

Article in Emerging topics in life sciences, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 44 papers, 9 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
44citing papers in PubMed, 9 pooled it
7.2field-weighted citation impact, top 2% 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

44 citing papers in PubMed, 9 syntheses or guidelines pooled it, 82 citations in OpenAlex.

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  11. Muscles (Basel, Switzerland) · 2026
    Review
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  14. Therapeutic Management in anJournal of clinical neurology (Seoul, Korea) · 2026
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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

4 authors at 4 institutions in 5 countries.

Rachel ThompsonInstitute of Genetic Medicine, Newcastle University, International Centre for Life, Newcastle upon Tyne NE1 3BZ, U.K.
Gisèle BonneSorbonne Université, INSERM UMRS 974, Center of Research in Myology, Institut de Myologie, F-75013 Paris, France.
Paolo MissierSchool of Computing, Newcastle University, Urban Sciences Building, Firebrick Avenue, Newcastle upon Tyne NE4 5TG, U.K.
Hanns LochmüllerChildren's Hospital of Eastern Ontario Research Institute, University of Ottawa, Ottawa, Canada.
Centre for Life · GBInserm · FRNewcastle University · GBUniversity of Ottawa · CA

Funding

Medical Research Council G1002274
6 · The paper itself

Abstract

Despite recent scientific advances, most rare genetic diseases - including most neuro-muscular diseases - do not currently have curative gene-based therapies available. However, in some cases, such as vitamin, cofactor or enzyme deficiencies, channelopathies and disorders of the neuromuscular junction, a confirmed genetic diagnosis provides guidance on treatment, with drugs available that may significantly alter the disease course, improve functional ability and extend life expectancy. Nevertheless, many treatable patients remain undiagnosed or do not receive treatment even after genetic diagnosis. The growth of computer-aided genetic analysis systems that enable clinicians to diagnose their undiagnosed patients has not yet been matched by genetics-based decision-support systems for treatment guidance. Generating a 'treatabolome' of treatable variants and the evidence for the treatment has the potential to increase treatment rates for treatable conditions. Here, we use the congenital myasthenic syndromes (CMS), a group of clinically and genetically heterogeneous but frequently treatable neuromuscular conditions, to illustrate the steps in the creation of a treatabolome for rare inherited diseases. We perform a systematic review of the evidence for pharmacological treatment of each CMS type, gathering evidence from 207 studies of over 1000 patients and stratifying by genetic defect, as treatment varies depending on the underlying cause. We assess the strength and quality of the evidence and create a dataset that provides the foundation for a computer-aided system to enable clinicians to gain easier access to information about treatable variants and the evidence they need to consider.

Identifiers

PMID30931400
PMCPMC6436731
OpenAlexW2915031663

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.