国家重点研发计划中医药现代化研究文献计量分析

目的 分析国家重点研发计划中医药现代化研究重点专项（以下简称专项）的研究进展。方法 基于中国知网（CNKI）、中国学术期刊数据库（万方数据）、中文科技期刊数据库（VIP）、中国生物医学文献数据库（CBM）和Web of Science核心合集数据库（WoSCC），检索2017—2023年专项资助发表的论文，利用文献计量学和CiteSpace软件对论文作者、机构、研究热点等进行分析。结果 共检索到中文文献2701篇，涉及核心作者108位、形成2个较大的研究团队，中国中医科学院发文量最多，研究热点包括用药规律、中医证候等中医药临床评价和机制研究，主要研究疾病包括心血管病、恶性肿瘤等。英文文献732篇，其中中国科学院发文量最多，药物效用机制、药物代谢动力学等药理学研究是研究热点。结论 在专项支持下，中医药基础研究和基于循证医学评价的临床研究不断深入，在中医药防治重大疾病研究方面取得了重要进展。未来应加强科技成果转化，深化人工智能技术在中医药现代化研究中的应用。

Bibliometric Analysis of the Modernization of Traditional Chinese Medicine Project Funded by the National Key Research and Development Program

Objective To study the research progress of the Modernization of Traditional Chinese Medicine Project (referred to as the Project) funded by the National Key Research and Development Program.Methods The related articles published from 2017 to 2023 were retrieved from China National Knowledge Infrastructure (CNKI), Wanfang Data, VIP, China Biology Medicine (CBM), and Web of Science Core Collection (WoSCC). The bibliometric method and CiteSpace were employed to analyze the authors, institutions, and research hotspots.Results A total of 2701 publications in Chinese were screened out, involving 108 core authors and 2 large research teams. The China Academy of Chinese Medical Sciences had the most publications. The research hotspots included clinical evaluation and mechanism of traditional Chinese medicine (TCM), such as medication rules and TCM syndromes, and cardiovascular diseases and malignant tumors were the main diseases studied. In addition, 732 publications in English were screened out, among which the Chinese Academy of Sciences had the largest number of publications. Pharmacological studies such as pharmacodynamics and pharmacokinetics were the research hotspots.Conclusion Supported by the Project, the basic research of TCM and the clinical research based on evidence-based medicine have been deepened, with great progress achieved in the research on the prevention and treatment of major diseases with TCM. In the future, efforts should be made to transform the research achievements and deepen the application of artificial intelligence in the modern research of TCM.