Bibliometric Analysis: the Use of Streptozotocin (Stz) in Diabetic Animal Model

Abstract

Bibliometric analysis is a relatively new tool in healthcare and therefore does not yet make full use of its potential. This statistical tool analyses scientific publications which further describe trends in academic literature and research in various fields. This study focused on the development of diabetes research using animal models induced by streptozotocin (STZ), a diabetogenic molecule that triggers DNA damage in pancreatic beta cells and causes extreme oxidative stress. 1090 related articles published between 2017-2022 were obtained from the Scopus-Elsevier database using specific keywords “streptozotocin or STZ, animal models, diabetes, intraperitoneal”. Statistical analysis showed 1.67% Annual Growth Rate of publication with 10.66 citation rate per document. Co-occurrence analysis also successfully visualized the main topics related to the mechanism of action of streptozotocin such as oxidative stress, inflammation, rats, diabetic nephropathy, diabetic cardiomyopathy, hyperglycemia, antioxidants, and insulin. An important finding in this study indicated the diabetes research development was not in line with the main problem using animal models that remain unsolved, especially in diabetes research related to pancreatic beta cell proliferation. The result also provided valuable insights of research trends that involved diabetic animal models. The latest research datas are significantly important since it can be used for future research development. Further, more comprehensive information could be achieved by using other databases such as Web of Science (WOS) and Dimension in bibliometric analysis.