Evidence map›Paper›PMID 41919270›Full record

ReviewTherapeutic advances in rare disease

Current therapeutic landscape of β-thalassemia: focus on gene therapy.

Aaron N Cheng, Janet L Kwiatkowski

Abstract readReview
In one paragraph

Review in Therapeutic advances in rare disease. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

2 authors.

Aaron N ChengDivision of Hematology Oncology, Hospital of the University of Pennsylvania, Philadelphia, PA, USA.ORCID https://orcid.org/0000-0001-6984-8884
Janet L KwiatkowskiDivision of Hematology, Children's Hospital of Philadelphia, Philadelphia, PA, USA.ORCID https://orcid.org/0000-0001-7103-3406

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

β-thalassemia is an inherited blood disorder characterized by chronic anemia, ineffective erythropoiesis, and in its most severe form, lifelong transfusion dependence. The standard of care for transfusion-dependent thalassemia (TDT) is regular red blood cell transfusions to relieve the anemia and suppress ineffective erythropoiesis and iron chelation therapy to mitigate morbidity and mortality related to iron overload. Allogeneic hematopoietic stem cell transplantation is a curative option but is only available to patients with an appropriate donor and carries risks of graft-versus-host disease and other transplant-related morbidity. In recent years, the therapeutic landscape for TDT has changed dramatically with the approval of two autologous gene therapies in the United States: betibeglogene autotemcel (beti-cel) and exagamglogene autotemcel (exa-cel). Clinical trials for both gene therapies have demonstrated high rates of sustained transfusion independence for both pediatric and adult age groups. However, despite these advances, challenges remain. Gene therapy requires myeloablative busulfan-based conditioning chemotherapy, which carries the risk of short- and long-term toxicities. Furthermore, centralized manufacturing and high treatment costs are likely to limit access to gene therapy. In this review, we discuss the available clinical trial and real-world data for beti-cel and exa-cel. We describe how gene therapy fits into the current treatment landscape and introduce areas of ongoing investigation to improve access to transformative therapy for TDT.

Indexed as

betibeglogene autotemcelexagamglogene autotemcelgene therapyThalassemia

Identifiers

PMID41919270
PMCPMC13033867

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.