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许彭龄教授治疗慢性胃炎用药规律研究 被引量:12

Experience of XU Peng-lin in using medicine in treating chronic gastritis
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摘要 目的:分析、挖掘许彭龄教授治疗慢性胃炎的用药规律,探索名老中医经验整理的方法。方法:收集许彭龄治疗慢性胃炎典型医案212例,运用关联规则及点式互信息方法分析其治疗慢性胃炎的方剂配伍规律。结果:在所使用的93种中药中,使用率大于30%的12味药中有半夏、干姜、生黄芪、吴茱萸、甘草等,温中燥湿、辛甘化阳、酸甘化阴、辛开苦降、寒热并用、补泻兼施的配伍是最为常见的药物组合,半夏泻心汤、左金丸、黄芪建中汤是许老治疗慢性胃炎的基本方药。结论:许老治疗慢性胃炎采用和化阴阳、补虚泻实、调畅气机、脏腑和调的治疗思想,为中医治疗慢性胃炎的研究提供了方法学参考。 Objective: To analyze the experience of XU Peng-lin in using medicine in treating chronic gastritis, exploring the method for summarizing the experience of famous TCM practitioner. Methods: Professor Xu's 212 typical cases of chronic gastritis were collected, using related rules and point mutual information to analyze the prescription compatibility for the chronic gastritis. Results: Utilization of 12 kinds of drugs were over 30 percents, includinging Pinellia, dried ginger, mongolian milkvetch root, Medicinal Evodia Immature Fruit, and liquorice root, etc.. The common compatibility rules were warming spleen-stomach to eliminat dampness, acridness and sweetness activating yang, sour-sweet herbs nourishing yin, pungency disperses while bitterness descends, application of both cold and heat, and combination of reinforcing and reducing. The basic prescriptions for chronic gastritis used by professor XU were Pinelliae Decoction for Purging Stomach-Fire, Zuojin Pill, Huangqi Jianzhong Decoction. Conclusion: Harmonizing yin and yang, reinforcing deficiency and reducing the excess, regulating the activities of qi, harmonizing zang and fu organs were the treatment for chronic gastritis by professor XU, which provided the methodological reference toTCM in treating the chronic gastritis.
出处 《中华中医药杂志》 CAS CSCD 北大核心 2010年第3期475-478,共4页 China Journal of Traditional Chinese Medicine and Pharmacy
基金 北京中医药科技发展基金(No.JJ2005-02)~~
关键词 慢性胃炎 中医药疗法 用药规律 许彭龄 Chronic gastritis TCM therapy Application law of drugs XU Peng-lin
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  • 1全国慢性胃炎研讨会共识意见[J].中华消化杂志,2000,20(3):199-201. 被引量:1124
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  • 3Zhou X, Liu B,Wu Z, et al.Integrative mining of traditional Chinese medicine literature and MEDLINE for functional gene networks. Artificial intelligence in medicine, 2007,41:87-104.

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