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分析特应性皮炎的知识结构和主题趋势:2015 年至 2019 年发表文献的共词双聚类和定量分析。

Mapping knowledge structures and theme trends of atopic dermatitis: a co-word biclustering and quantitative analysis of the publication between 2015 and 2019.

机构信息

Department of Dermatology, Shengjing Hospital of China Medical University, Shenyang, China.

出版信息

J Dermatolog Treat. 2022 Jun;33(4):2024-2033. doi: 10.1080/09546634.2021.1905769. Epub 2021 Apr 11.

DOI:10.1080/09546634.2021.1905769
PMID:33761805
Abstract

BACKGROUND

Atopic dermatitis (AD) has been a hot research direction of dermatologists for a long time. However, the knowledge structures and theme trends for AD have not yet been studied bibliometrically.

OBJECTIVE

To investigate the distribution pattern and knowledge structure of AD related literatures in PubMed.

METHODS

Bibliographic information was generated by the Bibliographic Item Co-Occurrence Matrix Builder (BICOMB). A visual matrix was created by the gCLUTO software. GraphPad Prism 5 software was used to construct a Strategic diagram analysis. Ucinet 6.0 software and NetDraw 2.084 software were used to generate a social network analysis (SNA).

RESULTS

Among all the extracted MeSH terms and subheadings, 77 MeSH terms/MeSH subheadings with a high-frequency were identified, and hot topics were gathered together into 6 groups. In the strategic diagram, immunology, microbiology, and drug therapy of AD were fully developed. In contrast, prevention, pathology, genetics, metabolism, administration, cost of illness, quality of life therapeutic paradigm, and immunosuppressive agents of AD were considerably immature offering prospective scope for further research.

CONCLUSIONS

The results may potentially aid in describing an all-round grasp of the current research areas and furnish guidelines for the researchers for beginning new projects.

摘要

背景

特应性皮炎(AD)长期以来一直是皮肤科医生的热门研究方向。然而,AD 相关文献的知识结构和主题趋势尚未进行过文献计量学研究。

目的

探讨 PubMed 中 AD 相关文献的分布模式和知识结构。

方法

通过 Bibliographic Item Co-Occurrence Matrix Builder(BICOMB)生成书目信息。使用 gCLUTO 软件创建可视化矩阵。GraphPad Prism 5 软件用于构建战略图分析。使用 Ucinet 6.0 软件和 NetDraw 2.084 软件生成社会网络分析(SNA)。

结果

在所提取的 MeSH 术语和副标题中,确定了 77 个高频 MeSH 术语/MeSH 副标题,将热门主题聚集在一起分为 6 组。在战略图中,AD 的免疫学、微生物学和药物治疗得到了充分发展。相比之下,AD 的预防、病理学、遗传学、代谢、给药、疾病成本、生活质量治疗范例和免疫抑制剂则相当不成熟,为进一步研究提供了广阔的前景。

结论

这些结果可能有助于全面描述当前的研究领域,并为研究人员开展新项目提供指导。

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