Knowledge Mapping of Primary Dysmenorrhea: Hotspots, Knowledge Structure, and Theme Trends

Cong Wang,1 Lidan Liu,1 Xue Bai2 1Department of Anesthesiology, Shengjing Hospital of China Medical University, Shenyang, Liaoning Province, People’s Republic of China; 2Department of Health Management, Shengjing Hospital of China Medical University, Shenyang, Liaoning Province, People’s Republic of...

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Main Authors: Wang C, Liu L, Bai X
Format: Article
Language:English
Published: Dove Medical Press 2023-10-01
Series:Journal of Pain Research
Subjects:
Online Access:https://www.dovepress.com/knowledge-mapping-of-primary-dysmenorrhea-hotspots-knowledge-structure-peer-reviewed-fulltext-article-JPR
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author Wang C
Liu L
Bai X
author_facet Wang C
Liu L
Bai X
author_sort Wang C
collection DOAJ
description Cong Wang,1 Lidan Liu,1 Xue Bai2 1Department of Anesthesiology, Shengjing Hospital of China Medical University, Shenyang, Liaoning Province, People’s Republic of China; 2Department of Health Management, Shengjing Hospital of China Medical University, Shenyang, Liaoning Province, People’s Republic of ChinaCorrespondence: Xue Bai, Department of Health Management, Shengjing Hospital of China Medical University, No. 36 Sanhao Street, Heping District, Shenyang, Liaoning Province, 110004, People’s Republic of China, Tel +8618940252079, Email xbai88@cmu.edu.cnPurpose: The global incidence of primary dysmenorrhea is continuously increasing, and understanding its research trends is crucial for effective pain management and women’s health. Therefore, this study aims to perform a comprehensive bibliometric analysis of primary dysmenorrhea research to identify hotspots, explore emerging trends, and provide valuable insights for future research endeavors.Material and Methods: All of the relevant studies on primary dysmenorrhea in the Web of Science™ Core Collection database were searched for bibliometric analysis. Biclustering analysis using gCLUTO software was performed to identify research hotspots. Social network analysis with Ucinet was employed to reveal knowledge structure. Evolutionary analysis using SciMAT was utilized to predict thematic trends.Results: A total of 903 papers were analyzed, indicating a gradual increase in research on primary dysmenorrhea in recent years, with the scope of research expanding and diversifying. We identified seven hotspots, three treatment nodes, and four thematic trends. Research hotspots focused on epidemiological studies, adolescent primary dysmenorrhea, drug and non-drug treatments. Within the realm of treatments, we have identified three treatment nodes: acupuncture, acupressure, and ibuprofen. The evolution of research has witnessed a shift from traditional epidemiological studies toward a more diverse research landscape. Adolescent primary dysmenorrhea is expected to remain a prominent research topic while dietary supplements and lifestyle are predicted to gain more attention. An emerging theme is the study of variation and polymorphism of circadian rhythm genes concerning primary dysmenorrhea.Conclusion: This bibliometric analysis provides valuable insights into the current state of research on primary dysmenorrhea, offering a clearer understanding of the field’s landscape. The identified hotspots, knowledge structure, and thematic trends can serve as valuable references for future investigations in this area. The research holds significant scientific importance and innovative value in elucidating the mechanisms of primary dysmenorrhea and finding more effective treatment approaches.Graphical Abstract: Keywords: primary dysmenorrhea, pain management, women’s health, bibliometric analysis
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spelling doaj.art-2fe5bb9cfee347fdb17549e8847321ca2023-10-29T18:02:23ZengDove Medical PressJournal of Pain Research1178-70902023-10-01Volume 163613362487675Knowledge Mapping of Primary Dysmenorrhea: Hotspots, Knowledge Structure, and Theme TrendsWang CLiu LBai XCong Wang,1 Lidan Liu,1 Xue Bai2 1Department of Anesthesiology, Shengjing Hospital of China Medical University, Shenyang, Liaoning Province, People’s Republic of China; 2Department of Health Management, Shengjing Hospital of China Medical University, Shenyang, Liaoning Province, People’s Republic of ChinaCorrespondence: Xue Bai, Department of Health Management, Shengjing Hospital of China Medical University, No. 36 Sanhao Street, Heping District, Shenyang, Liaoning Province, 110004, People’s Republic of China, Tel +8618940252079, Email xbai88@cmu.edu.cnPurpose: The global incidence of primary dysmenorrhea is continuously increasing, and understanding its research trends is crucial for effective pain management and women’s health. Therefore, this study aims to perform a comprehensive bibliometric analysis of primary dysmenorrhea research to identify hotspots, explore emerging trends, and provide valuable insights for future research endeavors.Material and Methods: All of the relevant studies on primary dysmenorrhea in the Web of Science™ Core Collection database were searched for bibliometric analysis. Biclustering analysis using gCLUTO software was performed to identify research hotspots. Social network analysis with Ucinet was employed to reveal knowledge structure. Evolutionary analysis using SciMAT was utilized to predict thematic trends.Results: A total of 903 papers were analyzed, indicating a gradual increase in research on primary dysmenorrhea in recent years, with the scope of research expanding and diversifying. We identified seven hotspots, three treatment nodes, and four thematic trends. Research hotspots focused on epidemiological studies, adolescent primary dysmenorrhea, drug and non-drug treatments. Within the realm of treatments, we have identified three treatment nodes: acupuncture, acupressure, and ibuprofen. The evolution of research has witnessed a shift from traditional epidemiological studies toward a more diverse research landscape. Adolescent primary dysmenorrhea is expected to remain a prominent research topic while dietary supplements and lifestyle are predicted to gain more attention. An emerging theme is the study of variation and polymorphism of circadian rhythm genes concerning primary dysmenorrhea.Conclusion: This bibliometric analysis provides valuable insights into the current state of research on primary dysmenorrhea, offering a clearer understanding of the field’s landscape. The identified hotspots, knowledge structure, and thematic trends can serve as valuable references for future investigations in this area. The research holds significant scientific importance and innovative value in elucidating the mechanisms of primary dysmenorrhea and finding more effective treatment approaches.Graphical Abstract: Keywords: primary dysmenorrhea, pain management, women’s health, bibliometric analysishttps://www.dovepress.com/knowledge-mapping-of-primary-dysmenorrhea-hotspots-knowledge-structure-peer-reviewed-fulltext-article-JPRprimary dysmenorrheapain managementwomen’s healthbibliometric analysis
spellingShingle Wang C
Liu L
Bai X
Knowledge Mapping of Primary Dysmenorrhea: Hotspots, Knowledge Structure, and Theme Trends
Journal of Pain Research
primary dysmenorrhea
pain management
women’s health
bibliometric analysis
title Knowledge Mapping of Primary Dysmenorrhea: Hotspots, Knowledge Structure, and Theme Trends
title_full Knowledge Mapping of Primary Dysmenorrhea: Hotspots, Knowledge Structure, and Theme Trends
title_fullStr Knowledge Mapping of Primary Dysmenorrhea: Hotspots, Knowledge Structure, and Theme Trends
title_full_unstemmed Knowledge Mapping of Primary Dysmenorrhea: Hotspots, Knowledge Structure, and Theme Trends
title_short Knowledge Mapping of Primary Dysmenorrhea: Hotspots, Knowledge Structure, and Theme Trends
title_sort knowledge mapping of primary dysmenorrhea hotspots knowledge structure and theme trends
topic primary dysmenorrhea
pain management
women’s health
bibliometric analysis
url https://www.dovepress.com/knowledge-mapping-of-primary-dysmenorrhea-hotspots-knowledge-structure-peer-reviewed-fulltext-article-JPR
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