Research Trends and Foci in Osteoarthritis Pain from 2012 to 2022: Bibliometric and Visualization Study.

CiteSpace VOSviewer bibliometric analysis osteoarthritis pain research trends

Journal

Journal of pain research
ISSN: 1178-7090
Titre abrégé: J Pain Res
Pays: New Zealand
ID NLM: 101540514

Informations de publication

Date de publication:
2023
Historique:
received: 22 03 2023
accepted: 05 07 2023
medline: 1 8 2023
pubmed: 1 8 2023
entrez: 1 8 2023
Statut: epublish

Résumé

Osteoarthritis (OA) is a painful and complex joint disease. The unique mechanisms and potential interventions of OA-induced pain have attracted researchers' attention in recent years. Bibliometric and visualization analysis is a comprehensive scientific method that integrates mathematical and statistical approaches to explore research priorities in a specific field. However, there are few studies on OA pain using bibliometric analysis. This study aimed to explore research trends and hotspots in OA pain research field, offer practical guidance to researchers looking for top-notch scholars/institutions/countries, and provide suggestions for journal submissions by analyzing the existing literature. Raw data were extracted from Web of Science Core Collection. Microsoft Excel, the R package "bibliometrix", VOSviewer and CiteSpace software were used to analyze data and visualize relevant results. A total of 2493 articles were included for further bibliometric and visualization analysis. During the investigated period, 2021 with 343 publications was the most productive year. Fillingim, Roger B. and Bennell, Kim L. with 32 articles were the most productive authors. Most publications were from the USA (797 articles, 20,727 citations). Rehabilitation and treatment of OA pain were the hotspots in OA pain research area. The top-contributing journal was The total publications of OA pain generally increasing over the time in the last decade, and the escalating rate remained a high level. This is the first comprehensive bibliometric study in OA pain research field, and it will offer practical guidance to researchers in this field.

Sections du résumé

Background UNASSIGNED
Osteoarthritis (OA) is a painful and complex joint disease. The unique mechanisms and potential interventions of OA-induced pain have attracted researchers' attention in recent years. Bibliometric and visualization analysis is a comprehensive scientific method that integrates mathematical and statistical approaches to explore research priorities in a specific field. However, there are few studies on OA pain using bibliometric analysis.
Purpose UNASSIGNED
This study aimed to explore research trends and hotspots in OA pain research field, offer practical guidance to researchers looking for top-notch scholars/institutions/countries, and provide suggestions for journal submissions by analyzing the existing literature.
Methods UNASSIGNED
Raw data were extracted from Web of Science Core Collection. Microsoft Excel, the R package "bibliometrix", VOSviewer and CiteSpace software were used to analyze data and visualize relevant results.
Results UNASSIGNED
A total of 2493 articles were included for further bibliometric and visualization analysis. During the investigated period, 2021 with 343 publications was the most productive year. Fillingim, Roger B. and Bennell, Kim L. with 32 articles were the most productive authors. Most publications were from the USA (797 articles, 20,727 citations). Rehabilitation and treatment of OA pain were the hotspots in OA pain research area. The top-contributing journal was
Conclusion UNASSIGNED
The total publications of OA pain generally increasing over the time in the last decade, and the escalating rate remained a high level. This is the first comprehensive bibliometric study in OA pain research field, and it will offer practical guidance to researchers in this field.

Identifiants

pubmed: 37525820
doi: 10.2147/JPR.S409049
pii: 409049
pmc: PMC10387282
doi:

Types de publication

Journal Article

Langues

eng

Pagination

2567-2585

Informations de copyright

© 2023 Zhao et al.

Déclaration de conflit d'intérêts

All authors declare that there are no conflicts of interest in this work.

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Auteurs

Changtai Zhao (C)

Xiangya School of Medicine, Central South University, Changsha, Hunan, 410008, People's Republic of China.

Guang Yang (G)

Department of Orthopedics, Xiangya Hospital, Central South University, Changsha, Hunan, 410008, People's Republic of China.

Bingzhou Ji (B)

Department of Orthopedics, Xiangya Hospital, Central South University, Changsha, Hunan, 410008, People's Republic of China.

Hongfu Jin (H)

Department of Orthopedics, Xiangya Hospital, Central South University, Changsha, Hunan, 410008, People's Republic of China.

Shinen Naranmandakh (S)

Department of Chemistry, School of Arts and Sciences, National University of Mongolia, Ulaanbaatar, 14201, Mongolia.

Yusheng Li (Y)

Department of Orthopedics, Xiangya Hospital, Central South University, Changsha, Hunan, 410008, People's Republic of China.
National Clinical Research Center for Geriatric Disorders, Xiangya Hospital, Central South University, Changsha, Hunan, 410008, People's Republic of China.

Classifications MeSH