基于CiteSpace的中医优势病种研究现状、热点和趋势分析

Analysis of Research Status, Hotspots, and Trends in Advantageous Traditional Chinese Medicine Diseases Based on CiteSpace

摘要: 目的：探究我国中医优势病种相关研究的热点及最新进展，旨在为后续的学术研究提供参考。方法：对2025年1月前CNKI数据库中收录的文献进行检索，并采用CiteSpace软件进行作者合作网络分析、机构合作网络分析、关键词共现分析、关键词聚类分析和关键词突现分析。结果：最终纳入分析的文献共635篇。整体而言，领域内发文总量持续增长；作者合作网络分析中，共纳入了1858位论文作者，形成了4681次合作关系；机构合作网络分析中，当前该领域的研究主体集中于中医药高等院校及其附属医疗机构，研究成果分布相对分散。关键词共现分析中，出现频率 ≥ 10的关键词一共8个，按中介中心性从大到小排序分别是中医优势病种、中医药疗法、中医、中西医结合、专家指导建议、名医经验、中药、辨证论治；关键词聚类分析中共产生11个聚类，主要集中在理论体系、诊疗方法、医院管理、临床实践等维度；关键词突现分析中发现中医优势病种研究在实践层面存在不断深化与拓展的趋势。结论：相关研究发文量整体呈上升趋势，与我国医疗体制改革进程相适配；不同科研团队间合作交流相对不足，协作水平需要进一步提升；标准化建设不足是影响当前中医优势病种发展的重要因素；在标准化路径下实现个性化诊疗，是中医优势病种发展的内在要求与必然趋势。

Abstract: Objective: This study aims to explore the research hotspots and recent advancements in the field of Traditional Chinese Medicine (TCM) advantageous diseases in China, with the goal of providing references for future academic research. Methods: A systematic search was conducted for literature indexed in the CNKI database prior to January 2025. CiteSpace software was employed to perform author collaboration network analysis, institutional collaboration network analysis, keyword co-occurrence analysis, keyword clustering analysis, and keyword burst detection analysis. Results: A total of 635 articles were included in the final analysis. Overall, the volume of publications in this field has shown continuous growth. In the author collaboration network analysis, 1,858 authors were identified, forming 4,681 collaborative relationships. Institutional collaboration network analysis revealed that research activities are primarily concentrated in TCM universities and their affiliated medical institutions, though research outputs remain relatively fragmented. In the keyword co-occurrence analysis, eight keywords with a frequency of ≥10 were identified, ranked by betweenness centrality as follows: advantageous TCM diseases, TCM therapy, traditional Chinese medicine, integrated Chinese and Western medicine, expert guidance recommendations, renowned physicians’ experience, Chinese materia medica, and treatment based on syndrome differentiation. The keyword cluster analysis generated 11 clusters, primarily focusing on theoretical systems, diagnostic and therapeutic methods, hospital management, and clinical practice. Burst detection analysis indicated a trend toward deepening and expanding research in advantageous TCM diseases at the practical level. Conclusion: The volume of publications in related research demonstrates an overall upward trend, aligning with the progression of China’s healthcare system reform. However, collaboration and communication among different research teams remain relatively insufficient, necessitating further enhancement of cooperative efforts. The inadequacy of standardization construction constitutes a significant factor currently impeding the development of advantageous TCM diseases. Achieving personalized diagnosis and treatment within standardized pathways represents an inherent requirement and inevitable trend for the advancement of advantageous TCM diseases.