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An Expert Overview on Therapies in Non-Transfusion-Dependent Thalassemia: Classical to Cutting Edge in Treatment

Overview of attention for article published in Hemoglobin, June 2023
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Title
An Expert Overview on Therapies in Non-Transfusion-Dependent Thalassemia: Classical to Cutting Edge in Treatment
Published in
Hemoglobin, June 2023
DOI 10.1080/03630269.2022.2158099
Pubmed ID
Authors

Mohammadreza Saeidnia, Pooria Fazeli, Arghavan Farzi, Maryam Atefy Nezhad, Mojtaba Shabani-Borujeni, Mehran Erfani, Gholamhossein Tamaddon, Mehran Karimi

Abstract

The thalassemia issue is a growing worldwide health concern that anticipates the number of patients suffering from the disease will soon increase significantly. Patients with β-thalassemia intermedia (β-TI) manifest mild to intermediate levels of anemia, which is a reason for it to be clinically located between thalassemia minor and β-thalassemia major (β-TM). Notably, the determination of the actual rate of β-TI is more complicated than β-TM. The leading cause of this illness could be partial repression of β-globin protein production; accordingly, the rate of β-globin gene repression is different in patients, and the gene repression intensity creates a different clinical status. This review article provides an overview of functional mechanisms, advantages, and disadvantages of the classic to latest new treatments for this group of patients, depending on the disease severity divided into the typical management strategies for patients with β-TI such as fetal hemoglobin (Hb) induction, splenectomy, bone marrow transplantation (BMT), transfusion therapy, and herbal and chemical iron chelators. Recently, novel erythropoiesis-stimulating agents have been added. Novel strategies are subclassified into molecular and cellular interventions. Genome editing is one of the efficient molecular therapies for improving hemoglobinopathies, especially β-TI. It encompasses high-fidelity DNA repair (HDR), base and prime editing, clustered regularly interspaced short palindromic repeats (CRISPR)/Cas9 procedure, nuclease-free strategies, and epigenetic modulation. In cellular interventions, we mentioned the approach pattern to improve erythropoiesis impairments in translational models and patients with β-TI that involve activin II receptor traps, Janus-associated kinase 2 (JAK2) inhibitors, and iron metabolism regulation.

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The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 12 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 12 100%

Demographic breakdown

Readers by professional status Count As %
Unspecified 2 17%
Student > Master 2 17%
Researcher 2 17%
Lecturer 1 8%
Unknown 5 42%
Readers by discipline Count As %
Unspecified 2 17%
Medicine and Dentistry 2 17%
Biochemistry, Genetics and Molecular Biology 1 8%
Chemistry 1 8%
Nursing and Health Professions 1 8%
Other 0 0%
Unknown 5 42%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 23 June 2023.
All research outputs
#16,382,771
of 24,132,754 outputs
Outputs from Hemoglobin
#181
of 448 outputs
Outputs of similar age
#161,268
of 289,040 outputs
Outputs of similar age from Hemoglobin
#1
of 5 outputs
Altmetric has tracked 24,132,754 research outputs across all sources so far. This one is in the 21st percentile – i.e., 21% of other outputs scored the same or lower than it.
So far Altmetric has tracked 448 research outputs from this source. They receive a mean Attention Score of 1.6. This one is in the 43rd percentile – i.e., 43% of its peers scored the same or lower than it.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 289,040 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 32nd percentile – i.e., 32% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 5 others from the same source and published within six weeks on either side of this one. This one has scored higher than all of them