Hotspot Analysis of Traditional Drugs in Diabetes Treatment Literature

Hui SHEN; Wei-kai ZHU; Zhi LU; Hai-cheng ZHOU

doi:10.1007/s11655-020-3322-1

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Hotspot Analysis of Traditional Drugs in Diabetes Treatment Literature

Literature Research | Updated：2021-08-16

- Hotspot Analysis of Traditional Drugs in Diabetes Treatment Literature
- Chinese Journal of Integrative Medicine Vol. 27, Issue 4, Pages: 304-312(2021)
- Affiliations：
  
  1.Department of Traditional Chinese Medicine, the First Affiliated Hospital of Dalian Medical University, Dalian, Liaoning Province (116011), China
  2.Department of Nuclear Medicine, the First Affiliated Hospital of Dalian Medical University, Dalian, Liaoning Province (116011), China
  3.Department of Endocrinology, the First Affiliated Hospital of Dalian Medical University, Dalian, Liaoning Province (116011), China
- Author bio：
  
  Correspondence to: Prof. ZHOU Hai-cheng, E-mail:haichengzhou123@163.com
- Funds：
- DOI：10.1007/s11655-020-3322-1
  CLC：
- Published：01 April 2021，
  
  Published Online：30 September 2020，
  
  Accepted：30 December 2019
Scan for full text
Hui SHEN, Wei-kai ZHU, Zhi LU, et al. Hotspot Analysis of Traditional Drugs in Diabetes Treatment Literature. [J]. Chinese Journal of Integrative Medicine 27(4):304-312(2021)
DOI：

Hui SHEN, Wei-kai ZHU, Zhi LU, et al. Hotspot Analysis of Traditional Drugs in Diabetes Treatment Literature. [J]. Chinese Journal of Integrative Medicine 27(4):304-312(2021) DOI： 10.1007/s11655-020-3322-1.

摘要

Abstract

Objective:

To summarize current hotspots and predict the potential trends in traditional drugs of diabetes treatment for further research.

Methods:

Publications on the application of traditional drugs in diabetes treatment were searched from PubMed without language limits. Highly frequent MeSH terms were identified through Bibliographic Item Co-Occurrence Matrix Builder (BICOMB). Biclustering analysis results were visualized utilizing the gCLUTO software. Finally

a strategic diagram was generated.

Results:

Totally 2

386 relevant publications were obtained from PubMed on November 9th

2018

and 69 highly frequent MeSH terms were identified. Biclustering analysis revealed that these highly frequent MeSH terms were classified into 7 clusters. After calculating the density and centrality of each cluster

strategy diagram was presented. Cluster 0 "Chinese medicine monomers such as antioxidant and hypoglycemic effects" was considered as the most potential research hotspot.

Conclusions:

In this study

we found 7 topics related to the application of traditional drugs in diabetes treatment. The molecular mechanisms of Chinese medicine monomers in diabetes could become a potential hotspot with high centricity and low density.

关键词

Keywords

hotspottraditional drugdiabetesbibliometricsMeSH termChinese medicine

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