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SYSTEMATIC REVIEW article

Front. Med.

Sec. Family Medicine and Primary Care

Volume 12 - 2025 | doi: 10.3389/fmed.2025.1671234

This article is part of the Research TopicDigital Health Innovations for Patient-Centered CareView all 33 articles

A dual-database bibliometric analysis of music-based interventions and pain from 2004 to 2024

Provisionally accepted
Xianghui  ZouXianghui Zou1Ziqi  JinZiqi Jin2,3Weiqing  ZengWeiqing Zeng2*
  • 1Guilin University of Aerospace Technology, Guilin, China
  • 2Guilin Municipal Hospital of Traditional Chinese Medicine, guilin, China
  • 3GuangXi University of Chinese Medicine, Nanning, China

The final, formatted version of the article will be published soon.

[Objective] To explore the research hotspots and trends in the field of music therapy and pain based on bibliometrics and to provide reference and guidance for the current status and development of research in this field. [Methods] Using the Web of Science Core Collection (WOSCC) and Pubmed databases as data sources, we used VOSviewer and CiteSpace, R language combined, way to visualise and analyze the number of publications, countries, institutions, researchers, keywords, and literature in the fixed field from 2004 to 2024. [Results] Publication volume increased each year, with 2013 having the highest average citation rate. Lead authors included Bradt Joke, Silverman Michael J., Warth Marco, and Kessler Jens. the Journal of Music Therapy ranked first in terms of published papers. The U.S. leads in research but lacks national collaboration. Research topics have evolved from anxiety, cancer, and pain management to rehabilitation, virtual reality, and quality of life. [Conclusion] This study presents a roadmap for optimizing the clinical application of music therapy, addresses gaps in protocol standardization, advocates for cross-national collaboration to improve research quality, and provides important insights and guidance for future music therapy and pain research and applications.

Keywords: Music Therapy, Pain Management, Analgesia, databases, Bibliometrics

Received: 22 Jul 2025; Accepted: 24 Sep 2025.

Copyright: © 2025 Zou, Jin and Zeng. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

* Correspondence: Weiqing Zeng, yizhanxingkong@163.com

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