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Past and present: a bibliometric study on polycystic ovary syndrome
BACKGROUND: Polycystic ovary syndrome (PCOS) is a common gynecological endocrine disease that has a great impact on women’s physical and mental health. It is a burden to social and patients’ economy. In recent years, researchers’ understanding of PCOS has reached a new level. However, many PCOS repo...
Autores principales: | , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9938353/ https://www.ncbi.nlm.nih.gov/pubmed/36803912 http://dx.doi.org/10.1186/s13048-022-01072-3 |
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author | Cai, Mengcheng Ni, Zhexin Yuan, Zike Yu, Jin Zhang, Danying Yao, Ruipin Zhou, Ling Yu, Chaoqin |
author_facet | Cai, Mengcheng Ni, Zhexin Yuan, Zike Yu, Jin Zhang, Danying Yao, Ruipin Zhou, Ling Yu, Chaoqin |
author_sort | Cai, Mengcheng |
collection | PubMed |
description | BACKGROUND: Polycystic ovary syndrome (PCOS) is a common gynecological endocrine disease that has a great impact on women’s physical and mental health. It is a burden to social and patients’ economy. In recent years, researchers’ understanding of PCOS has reached a new level. However, many PCOS reports have different directions, and overlapping phenomena exist. Therefore, clarifying the research status of PCOS is important. This study aims to summarise the research status of PCOS and predict the hot spots of PCOS in the future by Bibliometricx. RESULTS: The keywords of PCOS research focused on PCOS, insulin resistance (IR), obesity and metformin. Keywords plus co-occurrence network showed that PCOS, IR and prevalence were hot spots in the recent 10 years. Moreover, we found that gut microbiota may be a carrier that can be used to study hormone levels, IR-related mechanisms, prevention and treatment in the future. CONCLUSIONS: This study is helpful for researchers to quickly grasp the current situation of PCOS research and enlighten researchers to explore new problems in PCOS. |
format | Online Article Text |
id | pubmed-9938353 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-99383532023-02-19 Past and present: a bibliometric study on polycystic ovary syndrome Cai, Mengcheng Ni, Zhexin Yuan, Zike Yu, Jin Zhang, Danying Yao, Ruipin Zhou, Ling Yu, Chaoqin J Ovarian Res Research BACKGROUND: Polycystic ovary syndrome (PCOS) is a common gynecological endocrine disease that has a great impact on women’s physical and mental health. It is a burden to social and patients’ economy. In recent years, researchers’ understanding of PCOS has reached a new level. However, many PCOS reports have different directions, and overlapping phenomena exist. Therefore, clarifying the research status of PCOS is important. This study aims to summarise the research status of PCOS and predict the hot spots of PCOS in the future by Bibliometricx. RESULTS: The keywords of PCOS research focused on PCOS, insulin resistance (IR), obesity and metformin. Keywords plus co-occurrence network showed that PCOS, IR and prevalence were hot spots in the recent 10 years. Moreover, we found that gut microbiota may be a carrier that can be used to study hormone levels, IR-related mechanisms, prevention and treatment in the future. CONCLUSIONS: This study is helpful for researchers to quickly grasp the current situation of PCOS research and enlighten researchers to explore new problems in PCOS. BioMed Central 2023-02-18 /pmc/articles/PMC9938353/ /pubmed/36803912 http://dx.doi.org/10.1186/s13048-022-01072-3 Text en © The Author(s) 2023 https://creativecommons.org/licenses/by/4.0/Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/ (https://creativecommons.org/publicdomain/zero/1.0/) ) applies to the data made available in this article, unless otherwise stated in a credit line to the data. |
spellingShingle | Research Cai, Mengcheng Ni, Zhexin Yuan, Zike Yu, Jin Zhang, Danying Yao, Ruipin Zhou, Ling Yu, Chaoqin Past and present: a bibliometric study on polycystic ovary syndrome |
title | Past and present: a bibliometric study on polycystic ovary syndrome |
title_full | Past and present: a bibliometric study on polycystic ovary syndrome |
title_fullStr | Past and present: a bibliometric study on polycystic ovary syndrome |
title_full_unstemmed | Past and present: a bibliometric study on polycystic ovary syndrome |
title_short | Past and present: a bibliometric study on polycystic ovary syndrome |
title_sort | past and present: a bibliometric study on polycystic ovary syndrome |
topic | Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9938353/ https://www.ncbi.nlm.nih.gov/pubmed/36803912 http://dx.doi.org/10.1186/s13048-022-01072-3 |
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