Evidence map›Paper›PMID 26673333›Full record

ArticleInternational journal of health policy and management2015

Comparison of Blood Transfusion Plus Chelation Therapy and Bone Marrow Transplantation in Patients with β-Thalassemia: Application of SF-36, EQ-5D, and Visual Analogue Scale Measures.

Mehdi Javanbakht, Ali Keshtkaran, Hossien Shabaninejad, Hassan Karami, Maryam Zakerinia, Sajad Delavari

Open access · diamondAbstract readComparative Study
In one paragraph

Article in International journal of health policy and management, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
15citing papers in PubMed, 3 pooled it
1.4field-weighted citation impact, top 19% 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

15 citing papers in PubMed, 3 syntheses or guidelines pooled it, 37 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
  3. Health-related quality of life (HRQoL) in beta-thalassemia major (β-TM) patients assessed by 36-item short form health survey (SF-36): a meta-analysis.Quality of life research : an international journal of quality of life aspects of treatment, care and rehabilitation · 2019
    Pooled it
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  5. Review
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  7. Health state utilities for beta-thalassemia: a time trade-off study.The European journal of health economics : HEPAC : health economics in prevention and care · 2023
    Article
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  14. Health state utilities associated with treatment for transfusion-dependent β-thalassemia.The European journal of health economics : HEPAC : health economics in prevention and care · 2020
    Article
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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

6 authors at 4 institutions in 2 countries.

Mehdi JavanbakhtHealth Economics Research Unit, Institute of Applied Health Sciences, University of Aberdeen, Aberdeen, UK.
Ali KeshtkaranHealth Economics Department, School of Management and Information Sciences, Shiraz University of Medical Sciences, Shiraz, Iran.
Hossien ShabaninejadDepartment of Health Services Management, School of Health Management and Information Sciences, Iran University of Medical Sciences, Tehran, Iran.
Hassan KaramiHealth Economics Department, School of Management and Information Sciences, Shiraz University of Medical Sciences, Shiraz, Iran.
Maryam ZakeriniaDepartment of Internal Medicine, BMT Unit, Hematology Research Center, and Organ Transplant Research Center, Nemazee Hospital, Shiraz University of Medical Sciences, Shiraz, Iran.
Sajad DelavariDepartment of Health Management and Economics, School of Public Health, Tehran University of Medical Sciences, Tehran, Iran.
Shiraz University of Medical Sciences · IRIran University of Medical Sciences · IRTehran University of Medical Sciences · IRUniversity of Aberdeen · GB

Funding

Chief Scientist Office HERU1
6 · The paper itself

Abstract

backgroundβ-Thalassemia is a prevalent genetic disease in Mediterranean countries. The most common treatments for this disease are blood transfusion plus iron chelation (BTIC) therapy and bone marrow transplantation (BMT). Patients using these procedures experience different health-related quality of life (HRQoL). The purpose of the present study was to measure HRQoL in these patients using 2 different multiattribute quality of life (QoL) scales.

methodsIn this cross-sectional study, data were gathered using 3 instruments: a socio-demographic questionnaire, EQ-5D, and SF-36. A total of 196 patients with β-thalassemia were randomly selected from 2 hospitals in Shiraz (Southern Iran). Data were analyzed using logistic regression and multiple regression models to identify factors that affect the patients' HRQoL.

resultsThe average EQ-5D index and EQ visual analog scale (VAS) scores were 0.86 (95% CI: 0.83-0.89) and 71.85 (95% CI: 69.13-74.58), respectively. Patients with BMT reported significantly higher EQ VAS scores (83.27 vs 68.55, respectively). The results showed that patients who lived in rural area and patients with BMT reported higher EQ VAS scores (rural; β= 10.25, P = .006 and BMT; β= 11.88, P = .000). As well, SF-36 between 2 groups of patients were statistically significant in physical component scale (PCS).

conclusionPatients in the BMT group experienced higher HRQoL in both physical and mental aspects compared to those in the BTIC group. More studies are needed to assess the relative cost-effectiveness of these methods in developing countries.

Indexed as

Blood TransfusionBone Marrow TransplantationChelation TherapyQuality of LifeAdolescentAdultbeta-ThalassemiaCross-Sectional StudiesFemaleHealth StatusHumansIranMalePain MeasurementSurveys and QuestionnairesVisual Analog ScaleBlood TransfusionBone Marrow Transplantation (BMT)Health Related Quality of Life (HRQoL)β-Thalassemia

Identifiers

PMID26673333
PMCPMC4629698
OpenAlexW2121765063

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.