Trends in metabolic dysfunction in polycystic ovary syndrome: a bibliometric analysis

Yan Xu; Zhiqun Cao; Ting Chen; Jian Ren

doi:10.3389/fendo.2023.1245719

Trends in metabolic dysfunction in polycystic ovary syndrome: a bibliometric analysis

Front Endocrinol (Lausanne). 2023 Aug 28:14:1245719. doi: 10.3389/fendo.2023.1245719. eCollection 2023.

Authors

Yan Xu¹, Zhiqun Cao², Ting Chen¹, Jian Ren¹

Affiliations

¹ College of Traditional Chinese Medicine, Shandong University of Traditional Chinese Medicine, Jinan, China.
² The First Clinical Medical College of Shandong University of Traditional Chinese Medicine, Jinan, China.

Abstract

Polycystic ovary syndrome (PCOS) is a very common chronic disease and causes reproductive disorders in women of childbearing age worldwide. The cause of metabolic dysfunction in PCOS is unknown, and there is a lack of systematic bibliometric analysis for this disease. This study included 3,972 articles on metabolic dysfunction in PCOS published from 2012 to 2021. We applied the VOSviewer and the CiteSpace scientometric analysis software to analyze the data regarding the publication of the articles, countries, authors, institutions, scientific categories, cited journals, and keywords. Through this analysis, we determined the research efforts and their developing trends and anticipated the progress in understanding PCOS-related metabolic dysfunction.

Keywords: CiteSpace; VOSviewer; bibliometric analysis; metabolism; polycystic ovary syndrome.

Publication types

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

MeSH terms

Bibliometrics
Female
Humans
Polycystic Ovary Syndrome*
Reproduction
Software

Grants and funding

This study was supported by the National Natural Science Foundation of China (No. 81804130) and the Shandong Provincial Natural Science Foundation of China (Grant No. ZR2020MH355).