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

Abstract

Background

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

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

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

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 Osteoarthritis and Cartilage. Boston University (91 articles; 4050 citations) was the most active institution.

Conclusion

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.

Graphical Abstract

Keywords:

• osteoarthritis pain
• bibliometric analysis
• research trends
• VOSviewer
• CiteSpace

Ethical Approval

This article does not contain any studies with human participants or animals performed by any of the authors.

Disclosure

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

Additional information

Funding

This work was supported by National Natural Science Foundation of China (No.82072506, 82272611, 92268115), National Key R&D Program of China (No.2019YFA0111900), National Clinical Research Center for Geriatric Disorders (Xiangya Hospital, Grant No.2021KFJJ02 and 2021LNJJ05), National Clinical Research Center for Orthopedics, Sports Medicine and Rehabilitation (No.2021-NCRC-CXJJ-PY-40), Science and Technology Innovation Program of Hunan Province (No.2021RC3025), Provincial Clinical Medical Technology Innovation Project of Hunan (No.2020SK53709), the Administration of Traditional Chinese Medicine of Hunan Province (No.2021075), Wu Jieping Medical Foundation (No.320.6750.2020-03-14), CMA▪Young and Middle-aged Doctors Outstanding Development Program--Osteoporosis Specialized Scientific Research Fund Project (No.G-X-2019-1107-12).