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全球贫血研究的科学计量学分析

Scientometrics Analysis of Global Researches on Anemia.

作者信息

Khaledi Hedye, Makkizadeh Fatemeh, Hazeri Afsaneh

机构信息

Department of Knowledge and Information Sciences, School of Social Sciences, Yazd University, Yazd, Iran.

出版信息

Int J Hematol Oncol Stem Cell Res. 2024 Oct 1;18(4):390-399. doi: 10.18502/ijhoscr.v18i4.16763.

Abstract

Anemia is a condition in which the number of red blood cells or the hemoglobin concentration within them is lower than normal. This study aims to show the intellectual structure of knowledge regarding anemia and gives a comprehensive and up-to-date image of research in this area. This is a descriptive-analytical study with a scientometric approach. The PubMed database was searched for research publications indexed under "anemia" including 8484 records between 2011 and 2020. Data were analyzed using Co-word analysis, clustering methods, and strategic diagrams with the help of SPSS and Ucinet 6 software.  The keyword "Anemia Sickle Cell" and two pairs of frequently used keywords, namely "Anemia, Iron *Iron" were the most frequent in the research area. The results shaped the concepts of anemia in 9 clusters. The clusters "Hydroxyurea and sickle cell anemia", "Fetus transfusion", "Management of Thalassemia Major", "Hemolytic Uremic Syndrome", "Management and Control of Anemia", "Chronic Kidney Failure and Anemia", "Hematopoietic Stem Cell Transplantation" are topics that may be emerging or disappearing. The "Thalassemia and blood transfusion" are immature clusters. This study uses co-word networks that indicate important links between keywords of the research areas. Most research approaches are in the therapeutic aspects. Despite the importance of the effect of anemia on all levels of society, including economics, education, and other types of anemia, as well as its impact on learning and mental disorders, these subjects have not been given sufficient consideration.

摘要

贫血是指红细胞数量或其中血红蛋白浓度低于正常水平的一种病症。本研究旨在展现关于贫血的知识的知识结构,并呈现该领域全面且最新的研究概况。这是一项采用科学计量学方法的描述性分析研究。在PubMed数据库中搜索索引为“贫血”的研究出版物,共检索到2011年至2020年间的8484条记录。借助SPSS和Ucinet 6软件,运用共词分析、聚类方法和战略图对数据进行分析。关键词“镰状细胞贫血”以及两对常用关键词,即“贫血,铁*铁”在该研究领域出现频率最高。研究结果形成了9个关于贫血的概念簇。“羟基脲与镰状细胞贫血”“胎儿输血”“重型地中海贫血的管理”“溶血尿毒综合征”“贫血的管理与控制”“慢性肾衰竭与贫血”“造血干细胞移植”等簇是可能正在兴起或消失的主题。“地中海贫血与输血”是不成熟的簇。本研究使用共词网络来表明研究领域关键词之间的重要联系。大多数研究方法集中在治疗方面。尽管贫血对包括经济、教育等社会各层面以及其他类型贫血的影响很重要,并且其对学习和精神障碍也有影响,但这些主题尚未得到充分关注。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9651/11652699/a572e34829e3/IJHOSCR-18-390-g001.jpg

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