SYSTEMATIC REVIEW article
Front. Med.
Sec. Ophthalmology
Research trends and hotspots of traditional Chinese medicine for asthenopia: A comprehensive visualization and bibliometric study as of 2024
Provisionally accepted
- 1Graduate School, Hubei University of Chinese Medicine, Wuhan, Hebei Province, China
- 2College of Acupuncture-moxibustion and Orthopedics-traumatology, Hubei University of Chinese medicine, Wuhan, Hebei Province, China
- 3College of Traditional Chinese Medicine, Hubei University of Chinese Medicine, Wuhan, Hubei Province, China
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Objective: To explore the preventive and therapeutic effects of traditional Chinese medicine (TCM) for asthenopia. Methods: The literatures on TCM for asthenopia published in Web of Science, PubMed, China National Knowledge Infrastructure and Wanfang from the inception of each database to December 31, 2024 were retrieved and summarized. Network cluster co-occurrence analysis and qualitative narrative methods were used for this review. Results: The related research has shown a fluctuating upward trend. The institutions that published more relevant studies were Chinese medicine universities and their affiliated hospitals. The analysis found that the research mainly focused on elucidating the treatment mechanism, optimizing the acupoint stimulation mode of external treatment, and optimizing the systematic regulation of the TCM decoction program. Conclusions: The research on TCM for asthenopia is unevenly distributed among countries and regions, and mainly concentrated in China. However, since the outbreak of COVID-19, the research on asthenopia abroad has gradually increased, which may be related to lifestyle and the development of modern electronic technology. Current research trends mainly focus on the establishment of evidence-based TCM clinical intervention programs and the establishment of a comorbidity model of asthenopia.
Keywords: Traditional Chinese Medicine, Asthenopia, bibliometric analysis, Eye disease, Citespace
Received: 25 Apr 2025; Accepted: 21 Nov 2025.
Copyright: © 2025 Jin, Peng, Peng and Hu. 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:
Rui Peng, 1989405464@qq.com
Zhaoduan Hu, kbaknsn@126.com
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