Evidence map›Paper›PMID 37065340›Full record

ReviewCureus2023

Gene Therapy for Spinal Muscular Atrophy (SMA): A Review of Current Challenges and Safety Considerations for Onasemnogene Abeparvovec (Zolgensma).

Tolu Ogbonmide, Rajni Rathore, Shahid B Rangrej, Stedrea Hutchinson, Marcia Lewis, Stephenie Ojilere, Victoria Carvalho, Irenaissia Kelly

Abstract readReview
In one paragraph

Review in Cureus, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 66 papers.

0numbers the graph read from it
0cells of the map it votes in
66citing 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

66 citing papers in PubMed.

  1. Trial
  2. Article
  3. Review
  4. Review
  5. Review
  6. Review
  7. [Spinal muscular atrophy: Clinical and genetic aspects, and therapeutic alternatives].Revista medica del Instituto Mexicano del Seguro Social · 2026
    Review
  8. Article
  9. Identification of CD164 as an essential entry receptor for divergent adeno-associated viruses.Proceedings of the National Academy of Sciences of the United States of America · 2026
    Article
  10. Review
  11. Evolution of Engineered ADAR-Based RNA Editing Systems.International journal of molecular sciences · 2026
    Review
  12. Review
  13. Review
  14. Article
  15. Review
  16. Article
  17. Review
  18. Article
  19. Target-Based Discovery of Drug Combinations for Spinal Muscular Atrophy.Advances in experimental medicine and biology · 2026
    Article
  20. Viral vector-based gene therapies in the clinic: An update.Bioengineering & translational medicine · 2026
    Review

6 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

8 authors.

Tolu OgbonmideCollege of Medicine, Saint James School of Medicine, Saint Vincent and Grenadines, VCT.
Rajni RathorePharmacology and Therapeutics, Saint James School of Medicine, Saint Vincent and grenadines, VCT.
Shahid B RangrejAnatomy/Research, Saint James School of Medicine, Saint Vincent and Grenadines, VCT.
Stedrea HutchinsonPharmacology, Saint James School of Medicine, Saint Vincent and Grenadines, VCT.
Marcia LewisCollege of Medicine, Saint James School of Medicine, Saint Vincent and Grenadines, VCT.
Stephenie OjilereCollege of Medicine, Saint James School of Medicine, Saint Vincent and Grenadines, VCT.
Victoria CarvalhoCollege of Medicine, Saint James School of Medicine, Saint Vincent and Grenadines, VCT.
Irenaissia KellyNeurology, Saint James School of Medicine, Saint Vincent and Grenadines, VCT.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Spinal Muscular Atrophy (SMA) is a genetic disease that causes weakness and wasting in the voluntary muscles of infants and children. SMA has been the leading inherited cause of infant death. More specifically, SMA is caused by the absence of the SMN1 gene. In May 2019, the Food and Drug Administration (FDA) approved onasemnogene abeparvovec, SMN1 gene replacement therapy, for all children with SMA younger than two years of age, without end-stage weakness. The objective of the study is to review the safety and efficacy of a novel gene therapy, onasemnogene abeparvovec (Zolgensma), for SMA and assess current challenges for gene therapy. For this, we have conducted a literature search on PubMed, MEDLINE, and Ovid (2019 to 2022) in the English language using the terms SMA, onasemnogene, and gene therapy. The search included articles, websites, and published papers from reputable health organizations, hospitals, and global organizations dedicated to bringing awareness to Spinal Muscular Atrophy. We found the first gene therapy for SMA to be onasemnogene, directly providing the survival motor neuron 1 (SMN1) gene to produce the survival motor neuron (SMN) protein. Onasemnogene is approved by the Food and Drug Administration and has the added benefit of being a one-time dose. On the downside, a major side effect of this treatment is hepatotoxicity. There is substantial evidence that the efficacy of therapy is increased when administered early to children under three months of age. Therefore, we concluded that onasemnogene appears to be an efficacious therapy for younger pediatric patients with SMA type 1. Drug cost and potential hepatotoxicity are major concerns. Long-term benefits and risks have not been determined, but it is more cost-effective and requires less time of treatment compared to the other used drug, nusinersen. Therefore, the combined safety, cost, and effectiveness of onasemnogene abeparvovec make it a reliable treatment option for treating SMA Type 1.

Indexed as

avxs-101gene-replacement therapygene therapyonasemnogene abeparvovecsmasma 1sma 2spinal muscular atrophyspinal muscular atrophy treatment for infantzolgensma

Identifiers

PMID37065340
PMCPMC10104684

What OpenQuestion holds

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Registered trials

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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.