Global trends and focuses of GLP-1RA in renal disease: a bibliometric analysis and visualization from 2005 to 2022

Naunyn Schmiedebergs Arch Pharmacol. 2023 Dec;396(12):3347-3361. doi: 10.1007/s00210-023-02575-6. Epub 2023 Jun 30.

Abstract

Glucagon-like peptide 1 receptor agonist (GLP-1RA) is a new class of glucose-lowing agents with the kidney benefit effect. This paper aims at finding the current state and hotspots of the research on GLP-1RA in kidney disease by using bibliometric methodologies and visualization maps to analyze publications and provide the direction for future studies on that topic. Literature information was obtained by retrieving the WoSCC database. Then, software like Microsoft Excel, VOSviewer, and CiteSpace was used to analyze and process obtained data. Bibliometric analysis and visualization of nations, authors, organizations, journals, keywords, and references were also done by VOSviewer and CiteSpace. A total of 991 publications written by 4747 authors from 1637 organizations in 75 countries on GLP-1RA in renal disease in Web of Science Core Collection were retrieved. The number of publications and citations kept growing from 2015 to 2022. The USA, Univ Copenhagen, and Rossing Peter are the leading country, organization, and author on this topic, respectively. All literature was published in 346 journals, and DIABETES OBESITY & METABOLISM is the journal with the most contributions. Meanwhile, most references are from DIABETES CARE. "Cardiovascular outcome" is the most frequent keyword in the total publications, and the reference cited most times is "Liraglutide and Cardiovascular Outcomes in Type 2 Diabetes" by Marso SP. The topic of GLP-1RA in renal disease has attracted more and more attention all over the world. Existing studies are mainly about clinical use in patients with diabetes, and studies on the mechanism are lacking.

Keywords: Bibliometric analysis; Diabetic kidney disease; GLP-1RA; Non-diabetic kidney disease; Renal diseases.

Publication types

  • Review
  • Research Support, Non-U.S. Gov't

MeSH terms

  • Bibliometrics
  • Databases, Factual
  • Diabetes Mellitus, Type 2* / drug therapy
  • Humans
  • Kidney
  • Kidney Diseases*