Evidence map›Paper›PMID 29463117›Full record

ArticleHuman gene therapy2018

Micro-Dystrophin Gene Therapy Goes Systemic in Duchenne Muscular Dystrophy Patients.

Dongsheng Duan

Open access · greenAbstract read
In one paragraph

Article in Human gene therapy, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 69 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
69citing papers in PubMed, 1 pooled it
3.4field-weighted citation impact, top 6% 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

69 citing papers in PubMed, 1 synthesis or guideline pooled it, 90 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Review
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  6. Review
  7. Canine Model of Duchenne Muscular Dystrophy.Methods in molecular biology (Clifton, N.J.) · 2026
    Article
  8. Review
  9. Article
  10. The curious case of AAV immunology.Molecular therapy : the journal of the American Society of Gene Therapy · 2025
    Review
  11. Review
  12. Review
  13. Review
  14. Review
  15. Article
  16. Review
  17. Article
  18. Article
  19. Article
  20. Article

9 more citing papers are in PubMed but not listed here.

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

1 author at 1 institution in 1 country.

Dongsheng Duan1 Department of Molecular Microbiology and Immunology, University of Missouri , Columbia, Missouri.
University of Missouri · US

Funding

Whole body single AAV microgene therapy in canine DMDR01NS090634 · NINDS · UNIVERSITY OF MISSOURI-COLUMBIA · PI Dongsheng Duan · 2015 to 2026
$4.2M
NINDS NIH HHS R01 NS090634
6 · The paper itself

Abstract

Whole-body systemic gene therapy is likely the most effective way to reduce greatly the disease burden of Duchenne muscular dystrophy (DMD), an X-linked inherited muscle disease that leads to premature death in early adulthood. Genetically, DMD is due to null mutation of the dystrophin gene, one of the largest genes in the genome. Recent studies have shown highly promising improvements in animal models with intravascular delivery of the engineered micro-dystrophin gene by adeno-associated virus (AAV). Several human trials are now started to advance AAV micro-dystrophin therapy to DMD patients. This is a historical moment for the entire field. Results from these trials will shape the future of neuromuscular disease gene therapy.

Indexed as

Genetic TherapyAnimalsClinical Trials as TopicDependovirusDisease Models, AnimalDystrophinGenetic VectorsHumansMuscle, SkeletalMuscular Dystrophy, AnimalMuscular Dystrophy, DuchenneMutationDystrophinadeno-associated virusclinical trialDuchenne muscular dystrophydystrophinmicro-dystrophinsystemic delivery

Identifiers

PMID29463117
PMCPMC6066190
OpenAlexW2788314063

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.