Evidence map›Paper›PMID 36537981›Full record

ReviewContinuum (Minneapolis, Minn.)2022

Genetic-Based Treatment Strategies for Muscular Dystrophy and Congenital Myopathies.

Andrew R Findlay, Conrad C Weihl

Open access · greenAbstract readReview
In one paragraph

Review in Continuum (Minneapolis, Minn.), 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
0.5field-weighted citation impact, top 37% 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

6 citing papers in PubMed, 6 citations in OpenAlex.

  1. Article
  2. Review
  3. Review
  4. Review
  5. Article
  6. Article
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.

Andrew R Findlay
Conrad C Weihl

Funding

Clinical and Translational Studies in Muscle DiseaseK24AR073317 · NIAMS · WASHINGTON UNIVERSITY · PI CONRAD C WEIHL · 2018 to 2026
$1.6M
The Role of DNAJB6 in Muscle and the Impact of LGMD1D MutationsK08AR075894 · NIAMS · WASHINGTON UNIVERSITY · PI FINDLAY, ANDREW · 2019 to 2023
$696k
Allele Specific Knockdown for LGMD-D1R03AR081395 · NIAMS · WASHINGTON UNIVERSITY · PI FINDLAY, ANDREW · 2022 to 2023
$157k
NIAMS NIH HHS K08 AR075894NIAMS NIH HHS K24 AR073317NIAMS NIH HHS R03 AR081395
6 · The paper itself

Abstract

purpose of reviewThis article discusses the foundational concepts of genetic treatment strategies employed in neuromuscular medicine, as well as the importance of genetic testing as a requirement for applying gene-based therapy. RECENT

findingsGene therapies have become a reality for several neuromuscular disorders. Exon-skipping and (in Europe) ribosomal read-through approaches are currently available to a subset of patients with Duchenne muscular dystrophy. Microdystrophin gene replacement has shown promise and is nearing the final stages of clinical trials. Numerous gene-based therapies for other muscular dystrophies and congenital myopathies are progressing toward approval as well. SUMMARY: Muscular dystrophies and congenital myopathies are a heterogenous group of hereditary muscle disorders. Confirming a diagnosis with genetic testing is not only critical for guiding management, but also an actual prerequisite for current and future gene therapies. Recessive loss-of-function or dominant haploinsufficiency disorders may be treated with gene replacement strategies, whereas dominant negative and toxic gain-of-function disorders are best addressed with a variety of knockdown approaches. It is important to recognize that many therapeutics are mutation specific and will only benefit a subset of individuals with a specific disease.

Indexed as

Muscular Dystrophy, DuchenneExonsGenetic TestingGenetic TherapyHumans

Identifiers

PMID36537981
PMCPMC10496150
OpenAlexW4312079982

What OpenQuestion holds

Textmetadata
LicenceTDM
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.