Evidence map›Paper›PMID 40560031›Full record

ArticlePharmacy (Basel, Switzerland)2025

Application of Fuzzy AHP for Medication Decision Making in Iron-Chelating Medications for Thalassemia.

Saeed Barzegari, Hosein Rostamian, Ehsan Firoozi-Majd, Ibrahim Arpaci

Abstract read
In one paragraph

Article in Pharmacy (Basel, Switzerland), 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0citing papers in PubMed
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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

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3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

4 authors.

Saeed BarzegariDepartment of Paramedicine, Amol Faculty of Paramedical Sciences, Mazandaran University of Medical Sciences, Amol 48175-866, Iran.ORCID 0000-0003-0393-1436
Hosein RostamianDepartment of Medical Immunology, School of Medicine, Tehran University of Medical Sciences, Tehran 14167-53955, Iran.
Ehsan Firoozi-MajdDepartment of Paramedicine, Amol Faculty of Paramedical Sciences, Mazandaran University of Medical Sciences, Amol 48175-866, Iran.
Ibrahim ArpaciManagement Information Systems, College of Business Administration, Gulf University for Science and Technology, Mishref 7207, Kuwait.ORCID 0000-0001-6513-4569

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Iron overload is a significant concern for patients with thalassemia and often necessitates the use of iron-chelating agents to mitigate the associated complications. Selecting the most appropriate chelation therapy from the available options is a complex decision for healthcare professionals. To support this decision-making process, this study investigates the application of the "Fuzzy Analytic Hierarchy Process" (FAHP) for medication selection in thalassemia patients requiring iron-chelation therapy. In this study, 20 hematologists participated, and matrices related to the FAHP model were used to evaluate three primary iron chelators: deferoxamine, deferasirox, and deferiprone. The results revealed that deferiprone was the most effective choice, while deferasirox outperformed the others in terms of cost and patient satisfaction. Notably, deferoxamine exhibits the highest rate of side effects, followed by deferiprone and deferasirox. The results obtained from the FAHP analysis indicated a consensus among experts and highlighted deferasirox as the optimal choice for treating chronic iron overload in thalassemia patients. The study demonstrates the practical applicability of the FAHP methodology in guiding informed decisions for iron-chelation therapy. It provides insights to help healthcare professionals optimize treatment strategies for patients with thalassemia.

Indexed as

fuzzy AHPmedication decision makingthalassemia

Identifiers

PMID40560031
PMCPMC12197068

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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.