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基于近10年文献数据挖掘中药内服治疗强直性脊柱炎方剂用药规律 被引量:1

Mining the Medication Rule of Oral Chinese Medicine for Ankylosing Spondylitis Based on Literature Data in Recent Ten Years
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摘要 目的:基于文献数据挖掘中药内服治疗强直性脊柱炎的用药规律,为中医药辨证论治强直性脊柱炎提供理论基础和遣方用药的参考依据。方法:检索中国知网、万方、维普等数据库中中药内服治疗强直性脊柱炎近10年临床研究文献,整理、统计和分析中药内服治疗强直性脊柱炎的用药规律。结果:获得有效文献458篇,方剂458首,中药134种,统计出30味高频中药,聚类分析发现3个有效聚类群,关联规则分析获得牛膝、狗脊、杜仲、当归、熟地黄5味核心中药。结论:中药内服治疗强直性脊柱炎以补肾强督为本,兼顾祛邪,与强直性脊柱炎本虚标实的病机具有一致性。 Objective:Based on the literature data to mine the medication rule of oral Chinese medicine in the treatment of ankylosing spondylitis,and to provide the theoretical basis and reference basis for the treatment of ankylosing spondylitis based on syndrome differentiation and treatment.Methods:The clinical research literature on the treatment of ankylosing spondylitis by oral administration of Chinese medicine in the past ten years in the databases of CNKI,Wanfang,VIP was retrieved,and the medication rules of treating ankylosing spondylitis by oral administration of Chinese medicine were collated,counted and analyzed.Results:A total of 458 effective literature,458 prescriptions,and 134 types of traditional Chinese medicine were obtained,and 30 highfrequency Chinese medicines were identified.Cluster analysis revealed three effective cluster groups.Association rule analysis revealed five core Chinese medicines,including Niuxi(Radix Achyranthis Bidentatae),Gouji(Rhizoma Cibotii),Duzhong(Cortex Eucommiae),Danggui(Radix Angelicae Sinensis)and Shudihuang(Radix Rehmanniae Praeparata).Conclusion:The treatment of ankylosing spondylitis by oral administration of Chinese medicine is based on tonifying the kidney and strengthening Du,taking into account the elimination of pathogenic factors,which is consistent with the pathogenesis of ankylosing spondylitis characterized by deficiency in root(origin)and excess in branch(superficiality).
作者 任兰群 李具宝 REN Lan-qun;LI Ju-bao
出处 《风湿病与关节炎》 2023年第7期1-5,36,共6页 Rheumatism and Arthritis
基金 国家自然科学基金项目(81860862)。
关键词 强直性脊柱炎 文献研究 数据挖掘 内服方药 配伍 ankylosing spondylitis literature research data mining oral Chinese medicine compatibility
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