Evidence map›Paper›PMID 40330090›Full record

ArticleCurrent therapeutic research, clinical and experimental2025

Unleashing the Potential of Givinostat: A Novel Therapy for Duchenne Muscular Dystrophy.

Ahmad Furqan Anjum, Muhammad Burhan Anjum, Raza Ur Rehman

Abstract read
In one paragraph

Article in Current therapeutic research, clinical and experimental, 2025. 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
–field-weighted citation impact
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.

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

Ahmad Furqan AnjumShaikh Khalifa Bin Zayed Al-Nahyan Medical College, Shaikh Zayed Postgraduate Medical Institute (SZPGMI), Lahore, Pakistan.
Muhammad Burhan AnjumAkhtar Saeed Medical and Dental College, Lahore, Pakistan.
Raza Ur RehmanShaikh Khalifa Bin Zayed Al-Nahyan Medical College, Shaikh Zayed Postgraduate Medical Institute (SZPGMI), Lahore, Pakistan.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Purpose: Duchenne muscular dystrophy (DMD) is a progressive neuromuscular disorder with limited treatment options beyond corticosteroids, which have significant adverse effects. Givinostat, a histone deacetylase inhibitor, has recently emerged as a promising disease-modifying therapy. This commentary examines the therapeutic potential of givinostat, its mechanism of action, and the clinical evidence supporting its role in DMD treatment. Methods: A review of the EPIDYS Phase 3 trial and supporting clinical studies was conducted. The study included boys aged 6 to 17 years with genetically confirmed DMD, assessing givinostat's efficacy and safety over 18 months. Key endpoints included the North Star Ambulatory Assessment (NSAA), MRI-based muscle preservation, and adverse event (AE) profiles. Findings: Givinostat-treated patients demonstrated a 1.9-point higher NSAA score compared to placebo ( Implications: Givinostat represents a paradigm shift in DMD management, offering benefits beyond corticosteroids by reducing fibrosis and promoting muscle regeneration. While its long-term safety and cost-effectiveness require further evaluation, its combination potential with gene therapies highlights its importance in future DMD treatment strategies. Ongoing studies aim to refine its role in broader neuromuscular disorders.

Indexed as

Disease-modifying therapyDuchenne muscular dystrophyEPIDYS trialGivinostatHistone deacetylase inhibitorMuscle regeneration

Identifiers

PMID40330090
PMCPMC12051647

What Socratic holds

Textmetadata
LicenceCC BY-NC-ND
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 Socratic graph.