Hotspot Analysis of Traditional Drugs in Diabetes Treatment Literature

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.