ArticleJournal of pain research2023
Knowledge Mapping of Primary Dysmenorrhea: Hotspots, Knowledge Structure, and Theme Trends.
Article in Journal of pain research, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT07645014 (Comparative Effects of Neurodynamic Stretch and Myofascial Pain Release in Dysmenorrhea, Quality Of Sleep And Stress In Polycystic Ovarian Syndrome.), which is not on this map. Cited by 2 papers.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Comparative Effects of Neurodynamic Stretch and Myofascial Pain Release in Dysmenorrhea, Quality Of Sleep And Stress In Polycystic Ovarian Syndrome.
Who cites it
2 citing papers in PubMed.
- Postural stability and body composition according to primary dysmenorrhea severity in young women: a cross-sectional study.Frontiers in endocrinology · 2026Article
- Deciphering the Pharmacological Mechanisms of Wen-Jing-Zhi-Tong Decoction in Treating Primary Dysmenorrhea by UPLC-Q-Exactive- Orbitrap-MS/MS with GC-MS and Network Pharmacology.Combinatorial chemistry & high throughput screening · 2025Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
3 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Purpose: 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.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.