Evidence map›Paper›PMID 37308617›Full record

ReviewNature reviews. Neurology2023

Is it time for genetic modifiers to predict prognosis in Duchenne muscular dystrophy?

Luca Bello, Eric P Hoffman, Elena Pegoraro

Abstract readReview
PubMed Publisher
In one paragraph

Review in Nature reviews. Neurology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed
2.0field-weighted citation impact, top 14% 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

12 citing papers in PubMed, 13 citations in OpenAlex.

  1. Article
  2. [Construction of a genotype-phenotype database and machine learning models for pseudohypertrophic muscular dystrophy].Zhongguo dang dai er ke za zhi = Chinese journal of contemporary pediatrics · 2026
    Article
  3. Review
  4. Article
  5. Association ofNeurology. Genetics · 2025
    Article
  6. Article
  7. Article
  8. Article
  9. Review
  10. Article
  11. Article
  12. A fleeting glimpse of functional benefit of the completeMolecular therapy. Nucleic acids · 2023
    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

3 authors at 2 institutions in 2 countries.

Luca BelloDepartment of Neurosciences (DNS), University of Padova, Padova, Italy.ORCID http://orcid.org/0000-0002-3075-6525
Eric P HoffmanSchool of Pharmacy and Pharmaceutical Sciences, Binghamton University (State University of New York), Binghamton, NY, USA.
Elena PegoraroDepartment of Neurosciences (DNS), University of Padova, Padova, Italy. elena.pegoraro@unipd.it.ORCID http://orcid.org/0000-0002-7740-4156
University of Padua · ITBinghamton University · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Patients with Duchenne muscular dystrophy (DMD) show clinically relevant phenotypic variability, despite sharing the same primary biochemical defect (dystrophin deficiency). Factors contributing to this clinical variability include allelic heterogeneity (specific DMD mutations), genetic modifiers (trans-acting genetic polymorphisms) and variations in clinical care. Recently, a series of genetic modifiers have been identified, mostly involving genes and/or proteins that regulate inflammation and fibrosis - processes increasingly recognized as being causally linked with physical disability. This article reviews genetic modifier studies in DMD to date and discusses the effect of genetic modifiers on predicting disease trajectories (prognosis), clinical trial design and interpretation (inclusion of genotype-stratified subgroup analyses) and therapeutic approaches. The genetic modifiers identified to date underscore the importance of progressive fibrosis, downstream of dystrophin deficiency, in driving the disease process. As such, genetic modifiers have shown the importance of therapies aimed at slowing this fibrotic process and might point to key drug targets.

Indexed as

Muscular Dystrophy, DuchenneDystrophinFibrosisGenotypeHumansPrognosisDystrophin

Identifiers

PMID37308617
OpenAlexW4380302816

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.