近20年酸枣仁汤治疗失眠的文献计量分析

Bibliometric Analysis of Literatureson Suanzaoren Decoction in Treating Insomnia in Recent 20 Years

摘要: 目的：运用CiteSpace可视化软件，系统剖析2005~2025年酸枣仁汤干预失眠相关研究的热点动态与发展趋势。方法：检索中国知网、万方知识数据服务平台、维普中文期刊服务平台，设定条件为期刊论文及学位论文，设置时间为2005年1月1日至2025年12月31日的关于“酸枣仁汤”OR“失眠”OR“原发性失眠”的研究文献，通过Note Express v4.1.0进行数据查重及人工去重，整合得到数据然后采用CiteSpace6.4.R1软件对酸枣仁汤治疗失眠发文趋势、作者、机构、关键词共现、聚类、时间线及突现进行分析。结果：经NoteExpress v4.1.0查重及人工筛选后纳入近20年符合酸枣仁汤治疗失眠的相关文献共计691篇，年度发文量整体呈先上升后下降的变化特征，2021年发文数量达到峰值，发文量前3位的期刊为《中文科技期刊数据库医药卫生》(41篇)、《内蒙古中医药》(18篇)、《世界睡眠医学杂志》(18篇)；检索后分析得出898个关键词，高频关键词有“酸枣仁汤”“失眠”“加味酸枣仁汤”“睡眠质量”“失眠症”“临床疗效”“不寐”等，关键词共聚为14类，目前高校以湖北中医药大学、广东中医药大学、广东中医药大学第一附属医院、黑龙江中医药大学等为主要研究团体。结论：酸枣仁汤治疗失眠的研究热度长期稳定，临床疗效观察仍是核心方向，未来需加强多中心高质量循证研究、跨区域科研协作及作用机制的深度探索。

Abstract: Objective: To systematically analyze the hotspots, dynamics, and developmental trends of research on the intervention of insomnia with Suanzaoren Decoction from 2005 to 2025 using CiteSpace visualization software. Method: The research literature on “Suanzaoren Decoction” OR “insomnia” OR “primary insomnia” published as journal articles and dissertations between January 1, 2005 and December 31, 2025 was retrieved from the China National Knowledge Infrastructure (CNKI), Wanfang Data Knowledge Service Platform, and VIP Chinese Journal Service Platform. Data deduplication was performed using NoteExpress v4.1.0 combined with manual screening. After data integration, CiteSpace 6.4.R1 software was employed to analyze publication trends, authors, institutions, keyword co-occurrence, clustering, timelines, and citation bursts related to Suanzaoren Decoction in the treatment of insomnia. Results: After deduplication via NoteExpress v4.1.0 and manual screening, 691 relevant literature articles on Suanzaoren Decoction for insomnia over the past 20 years were included. The annual publication volume showed an overall trend of initial increase followed by a decline, peaking in 2021. The top three journals by publication count were the Chinese Science and Technology Periodical Database (Medical and Health) (41 articles), Inner Mongolia Journal of Traditional Chinese Medicine (18 articles), and World Journal of Sleep Medicine (18 articles). A total of 898 keywords were identified, with high-frequency terms including “Suanzaoren Decoction”, “insomnia”, “modified Suanzaoren Decoction”, “sleep quality”, “insomnia disorder”, “clinical efficacy”, and “sleeplessness”. The keywords were grouped into 14 clusters. Major research institutions included Hubei University of Chinese Medicine, Guangdong University of Chinese Medicine, the First Affiliated Hospital of Guangdong University of Chinese Medicine, and Heilongjiang University of Chinese Medicine. Conclusion: Research on Suanzaoren Decoction for insomnia has maintained stable long-term interest, with clinical efficacy observation remaining the core focus. Future efforts should prioritize high-quality multi-center evidence-based studies, cross-regional research collaboration, and in-depth exploration of the mechanisms of action.