基于数据挖掘分析杨小平教授治疗慢性萎缩性胃炎用药规律OA
Analysis of the Medication Rules of Professor Yang Xiaoping in the Treatment of Chronic Atrophic Gastritis Based on Data Mining
目的 探讨杨小平教授治疗慢性萎缩性胃炎的用药规律,总结其临床用药经验.方法 收集杨教授2023年1月—2024年12月治疗有效的慢性萎缩性胃炎患者的门诊初诊处方病历,借助古今医案云平台3.0版,标准化处理后进行数据分析汇总,挖掘杨教授的组方遣药规律.结果 共纳入处方65首,涉及中药96味,药物使用总频次为946次,使用频次较高药物为柴胡、半夏、海螵蛸、甘草、茯苓、黄芩、皂角刺、蒲公英等,归经以脾、胃、肝经居多,五味以辛、苦、甘、咸为主,四气以温、平为主,功效以清热解毒、燥湿化痰、疏肝解郁为主.聚类分析得出2组核心药物.结论 杨教授治疗慢性萎缩性胃炎多从脾、肝着手,重在清热解毒、燥湿化痰,兼以疏肝解郁.
Objective To explore the medication rules of Professor Yang Xiaoping in treating chronic atrophic gastritis,and to summarize clinical medication experience of Professor Yang.Methods The outpatient initial prescriptions from Professor Yang's patients with effective treatment outcomes for chronic atrophic gastritis in 2023 and 2024 were collected.Data was standardized and analyzed using Ancient and Modern Medical Case Cloud Platform 3.0,revealing prescription and medication rules of Professor Yang.Results A total of 65 outpatient prescriptions involving 96 Chinese medicinal herbs were analyzed,with total drug usage frequency of 946.High-frequency herbs included Bupleurum,Pinellia,Hippopotamus horn,Licorice,Poria,Scutellaria,Soappod prick,and Dandelion.Dominant meridians were spleen,stomach,and liver.Flavor profiles primarily featured pungent,bitter,sweet,and salty tastes,while four natures mainly showed warm and neutral properties.Therapeutic functions emphasized clearing heat and detoxifying,drying dampness and resolving phlegm,and soothing the liver and resolving depression.Cluster analysis identified two core drug groups.Conclusion Professor Yang in the treatment of chronic atrophic gastritis primarily focuses on spleen and liver regulation,emphasizing clearing heat,detoxifying,and resolving dampness-phlegm,while also incorporating liver-soothing effects.
郭庆波;马胜利;杨小平;白芳;高硕
永城市人民医院医疗健康集团,河南 商丘 476600永城市人民医院医疗健康集团,河南 商丘 476600河南省中医药研究院附属医院脾胃科,河南 郑州 450000永城市人民医院医疗健康集团,河南 商丘 476600辽宁中医药大学,辽宁 沈阳 110000
医药卫生
慢性萎缩性胃炎古今医案云平台杨小平数据挖掘
chronic atrophic gastritisAncient and Modern Medical Case Cloud PlatformYang Xiaopingdata mining
《光明中医》 2026 (3)
13-16,4
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