Evidence map›Paper›PMID 37478396›Full record

ArticleBlood2023

How I treat non-transfusion-dependent β-thalassemia.

Antoine N Saliba, Khaled M Musallam, Ali T Taher

Open access · hybridAbstract read
In one paragraph

Article in Blood, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed
8.1field-weighted citation impact, top 2% 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

14 citing papers in PubMed, 28 citations in OpenAlex.

  1. Trial
  2. Trial
  3. Article
  4. Article
  5. Review
  6. Article
  7. Article
  8. Article
  9. Beta thalassemia syndromes: New insights.World journal of clinical cases · 2025
    Review
  10. Article
  11. Article
  12. Luspatercept: a treatment for ineffective erythropoiesis in thalassemia.Hematology. American Society of Hematology. Education Program · 2024
    Review
  13. Review
  14. 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

3 authors at 2 institutions in 2 countries.

Antoine N SalibaDivision of Hematology, Mayo Clinic, Rochester, MN.ORCID 0000-0001-5134-7336
Khaled M MusallamThalassemia Center, Burjeel Medical City, Abu Dhabi, United Arab Emirates.ORCID 0000-0001-8515-2238
Ali T TaherDepartment of Internal Medicine, American University of Beirut Medical Center, Beirut, Lebanon.ORCID 0000-0003-3935-903X
American University of Beirut Medical Center · LBMayo Clinic · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The intricate interplay of anemia and iron overload under the pathophysiological umbrella of ineffective erythropoiesis in non-transfusion-dependent β-thalassemia (NTDT) results in a complex variety of clinical phenotypes that are challenging to diagnose and manage. In this article, we use a clinical framework rooted in pathophysiology to present 4 common scenarios of patients with NTDT. Starting from practical considerations in the diagnosis of NTDT, we delineate our strategy for the longitudinal care of patients who exhibit different constellations of symptoms and complications. We highlight the use of transfusion therapy and novel agents, such as luspatercept, in the patient with anemia-related complications. We also describe our approach to chelation therapy in the patient with iron overload. Although tackling every specific complication of NTDT is beyond the scope of this article, we touch on the management of the various morbidities and multisystem manifestations of the disease.

Indexed as

beta-ThalassemiaIron OverloadThalassemiaChelation TherapyHumansIron Chelating AgentsIron Chelating Agents

Identifiers

PMID37478396
PMCPMC10644094
OpenAlexW4384944380

What OpenQuestion 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 OpenQuestion graph.