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Global Trends in Polycystic Ovary Syndrome Research: A 10-year Bibliometric Analysis

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Specialty Endocrinology
Date 2023 Jan 26
PMID 36699019
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Abstract

Background: Polycystic ovary syndrome (PCOS) is one of the most common reproductive metabolic disorders in women, significantly affecting the biological functionalities of ovaries. This disease has garnered enormous interest from researchers. However, there is a lack of a comprehensive research concerning assessing the current status and future trends in PCOS field. This study uses bibliometric tools to comprehensively analyze the PCOS-related research progress based on the literature in the past decade.

Methods: The reported PCOS literature in the past decade is downloaded from the Web of Science database. The bibliometric software is applied to analyze the co-authorship, co-citation, and co-occurrence status.

Results: A total of 9936 publications imported into bibliometric tools for analysis show a sharp increase in the annual citations. The USA is dominant in terms of contribution in the field of PCOS, while China is making a significant contribution to the advancement of this field. Monash University is the most prolific institution with the highest H-index value. The contribution of University of Adelaide must be acknowledged. Legro RS and Teede HJ are the most active and influential authors in recent times, while Azziz R is the most contributed pioneer in this field. The Journal of is the most active journal with the highest number of publications and citations. The pathogenesis of PCOS had been a long-term forefront of research. In recent years, the health management in PCOS prevention and long-term complications was attracting more and more attention. The keywords like "gut microbiota", "microRNAs", "apoptosis", "Myo-inositol", "TNF-alpha", "androgen receptor", and "Vitamin D-deficient" are considered the latest research topics.

Conclusion: The study comprehensively analyzes the current status and global trends in the PCOS field, providing a significant reference for researchers to explore this field effectively.

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References
1.
Chen Z, Zhao H, He L, Shi Y, Qin Y, Shi Y . Genome-wide association study identifies susceptibility loci for polycystic ovary syndrome on chromosome 2p16.3, 2p21 and 9q33.3. Nat Genet. 2010; 43(1):55-9. DOI: 10.1038/ng.732. View

2.
Deswal R, Dang A . Dissecting the role of micro-RNAs as a diagnostic marker for polycystic ovary syndrome: a systematic review and meta-analysis. Fertil Steril. 2020; 113(3):661-669.e2. DOI: 10.1016/j.fertnstert.2019.11.001. View

3.
Synnestvedt M, Chen C, Holmes J . CiteSpace II: visualization and knowledge discovery in bibliographic databases. AMIA Annu Symp Proc. 2006; :724-8. PMC: 1560567. View

4.
Legro R, Kunselman A, Dodson W, Dunaif A . Prevalence and predictors of risk for type 2 diabetes mellitus and impaired glucose tolerance in polycystic ovary syndrome: a prospective, controlled study in 254 affected women. J Clin Endocrinol Metab. 1999; 84(1):165-9. DOI: 10.1210/jcem.84.1.5393. View

5.
Stepto N, Cassar S, Joham A, Hutchison S, Harrison C, Goldstein R . Women with polycystic ovary syndrome have intrinsic insulin resistance on euglycaemic-hyperinsulaemic clamp. Hum Reprod. 2013; 28(3):777-84. DOI: 10.1093/humrep/des463. View