Hotspot Analysis of Traditional Drugs in Diabetes Treatment Literature

• 作者: SHEN Hui ZHU Wei-kai LU Zhi ZHOU Hai-cheng
• 来源期刊: 中国结合医学杂志（英文版）
• 年，卷（期）: 2021,（4）
• 所属期刊栏目: Literature Research
• 页码范围: 304-312
• 页数: 9页
• 语种: 英文
• DOI: 10.1007/s11655-020-3322-1

摘要

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 centralty 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.