Skip to main page content
U.S. flag

An official website of the United States government

Dot gov

The .gov means it’s official.
Federal government websites often end in .gov or .mil. Before sharing sensitive information, make sure you’re on a federal government site.

Https

The site is secure.
The https:// ensures that you are connecting to the official website and that any information you provide is encrypted and transmitted securely.

Access keys NCBI Homepage MyNCBI Homepage Main Content Main Navigation
Review
. 2022 Jul 28:10:960965.
doi: 10.3389/fpubh.2022.960965. eCollection 2022.

The relationship between polycystic ovary syndrome and insulin resistance from 1983 to 2022: A bibliometric analysis

Tong Chen  1   2 , Yue Yu  1   2 , Fan Jia  1   2 , Peijie Luan  3 , Xinmin Liu  1
Affiliations
Review

The relationship between polycystic ovary syndrome and insulin resistance from 1983 to 2022: A bibliometric analysis

Tong Chen et al. Front Public Health. .

Abstract

Background: Polycystic ovary syndrome (PCOS) is a common clinical disease often associated with insulin resistance (IR). The interaction between PCOS and IR will promote the progress of PCOS and the risk of related complications, harm women's physical and mental health, and increase the social and economic burden.

Materials and methods: PCOS IR-related works of literature were retrieved through the Web of Science Core Collection (WoSCC) Database and imported into VOSviewer and CiteSpace, respectively, in plain text format to conduct the literature visualization analysis of authors, countries, institutions, highly cited works of literature, and keywords, aiming to reveal the hot spots and trends of PCOS IR fields.

Results: A total of 7,244 articles were retrieved from 1900 to 2022. Among them, the United States has made the largest contribution. Diamanti-Kandarakis E was the author with the most publications, and the University of Athens was the institution with most publications. Keyword analysis showed that PCOS interacts with IR mainly through sex-hormone binding globulin, luteinizing hormone, insulin-like growth factor, oxidative stress, and other mechanisms. In addition, the complications of PCOS complicated with IR are also the focus of researchers' attention.

Conclusions: Through bibliometric analysis, this paper obtains the research hotspot and trend of PCOS IR fields, which can provide a reference for subsequent research.

Keywords: CiteSpace; VOSviewer; bibliometric analysis; insulin resistance; polycystic ovary syndrome.

PubMed Disclaimer

Conflict of interest statement

The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.

Figures

Figure 1
Figure 1
Literature screening flow chart.
Figure 2
Figure 2
Distribution trend of PCOS IR from 1983 to 2022.
Figure 3
Figure 3
National cooperation visualization map.
Figure 4
Figure 4
Author cooperation visualization map.
Figure 5
Figure 5
Institution cooperation visualization map.
Figure 6
Figure 6
Keyword visualization map.
Figure 7
Figure 7
Keywords cluster map.
Figure 8
Figure 8
Keywords burst detection map.
See this image and copyright information in PMC

Similar articles

See all similar articles

Cited by

See all "Cited by" articles

References

    1. Mills G, Badeghiesh A, Suarthana E, Baghlaf H. Dahan MH. Associations between polycystic ovary syndrome and adverse obstetric and neonatal outcomes: a population study of 91 million births. Hum Reprod. (2020) 35:1914–21. 10.1093/humrep/deaa144 - DOI - PubMed
    1. Hardiman P, Pillay OC, Atiomo W. Polycystic ovary syndrome and endometrial carcinoma. Lancet. (2003) 361:1810–2. 10.1016/S0140-6736(03)13409-5 - DOI - PubMed
    1. Amisi CA. Markers of insulin resistance in polycystic ovary syndrome women: an update. World J Diabetes. (2022) 13:129–49. 10.4239/wjd.v13.i3.129 - DOI - PMC - PubMed
    1. Carmina E, Lobo RA. Use of fasting blood to assess the prevalence of insulin resistance in women with polycystic ovary syndrome. Fertil Steril. (2004) 82:661–5. 10.1016/j.fertnstert.2004.01.041 - DOI - PubMed
    1. Ehrmann DA, Kasza K, Azziz R, Legro RS, Ghazzi MN. Effects of race and family history of type 2 diabetes on metabolic status of women with polycystic ovary syndrome. J Clin Endocrinol Metab. (2005) 90:66–71. 10.1210/jc.2004-0229 - DOI - PubMed

Publication types