Evidence map›Paper›PMID 36806514›Full record

ArticleJournal of neuromuscular diseases2023

Modeling Early Heterogeneous Rates of Progression in Boys with Duchenne Muscular Dystrophy.

Yuan Fang, Craig M McDonald, Paula R Clemens, Heather-Dressman Gordish, Kate Illei, Eric P Hoffman, CINRG DNHS and Vamorolone 002/003/LTE Investigators, Utkarsh J Dang

Open access · bronzeAbstract read
In one paragraph

Article in Journal of neuromuscular diseases, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed, 1 pooled it
2.2field-weighted citation impact, top 13% 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

13 citing papers in PubMed, 1 synthesis or guideline pooled it, 14 citations in OpenAlex.

  1. Pooled it
  2. Trial
  3. Observational
  4. Review
  5. Article
  6. Observational
  7. Fully personalized modelling of Duchenne Muscular Dystrophy ambulation.Philosophical transactions. Series A, Mathematical, physical, and engineering sciences · 2025
    Article
  8. Association ofNeurology. Genetics · 2025
    Article
  9. Review
  10. Article
  11. Review
  12. Article
  13. 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

8 authors at 6 institutions in 2 countries.

Yuan FangDepartment of Biostatistics, School of Public Health, Boston University, Boston, MA, USA.
Craig M McDonaldUniversity of California Davis School of Medicine, Sacramento, CA, USA.
Paula R ClemensDepartment of Neurology, School of Medicine, University of Pittsburgh, Pittsburgh, PA, USA.
Heather-Dressman GordishDivision of Biostatistics, Children's National Health System, Washington, DC, USA.
Kate IlleiReveraGen BioPharma, Rockville, MD, USA.
Eric P HoffmanReveraGen BioPharma, Rockville, MD, USA.
CINRG DNHS and Vamorolone 002/003/LTE Investigators
Utkarsh J DangDepartment of Health Sciences, Carleton University, Ottawa, Canada.
Binghamton University · USChildren's National · USBoston University · USCarleton University · CAUniversity of California, Davis · USUniversity of Pittsburgh · US

Funding

EPA EP-C-15-002
6 · The paper itself

Abstract

backgroundDuchenne muscular dystrophy (DMD) exhibits substantial variability in rates of disease progression and response to treatment. This has hindered treatment development and complicated interpretation of drug effects in clinical trials.

objectiveWe hypothesized that a multivariate combination of early-age clinical outcome measurements can explain differential disease progression.

methodsData on boys with DMD (ages 4-<10 years), both treated with steroidal anti-inflammatories and untreated, were obtained from CINRG Duchenne Natural History Study (n = 209) and vamorolone VBP15-002/003/LTE (n = 46) studies. Velocities from three timed function tests (TFTs; stand from supine, run/walk 10 meters, and climb 4 stairs) were simultaneously modeled in a longitudinal latent class analysis.

resultsThree classes of differentially progressing early age DMD motor trajectories were identified. Quicker decline/progression was associated with lower baseline TFT velocities, earlier loss of ability to finish a TFT, and lower predicted velocities. Earlier substantial steroid exposure was associated with greater TFT velocities while the moderate progression class was observed to have the largest difference in performance between boys treated early with steroids vs. not. Sample size calculations with the class showing the largest treatment response showed a large reduction in required sample size as compared to using summaries from all participants. Gene mutations were also investigated in post-hoc analyses, with mutations near the beginning of the DMD gene (Dp427 absent and Dp140/Dp71 present) found to be enriched in the slowest progressing class.

conclusionsThis study provides insight into the variation in DMD progression through a latent class analysis. Our findings show class-related trajectories of motor outcomes and pharmacological response to corticosteroids, and suggest that enrichment strategies and/or subgroup analyses could be considered further in design of therapeutic interventions in DMD.

Indexed as

Muscular Dystrophy, DuchenneAdrenal Cortex HormonesAnti-Inflammatory AgentsChildDisease ProgressionHumansMaleWalkingAdrenal Cortex HormonesAnti-Inflammatory Agentscluster analysisDuchenne muscular dystrophyearly age outcomesheterogeneity in progressionlongitudinal trajectories

Identifiers

PMID36806514
PMCPMC10200136
OpenAlexW4321205490

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.