| 摘要: |
| 目的:应用中医传承辅助平台（V3.0）对刘敏教授治疗乳腺癌的用药规律进行分析。方法:收集2021年1月至2023年6月刘教授门诊276例乳腺癌患者的首诊处方，采用中医传承辅助平台（V3.0）对其进行标准化录入，构建处方数据库，采用该系统的方剂分析等模块进行数据挖掘，分析处方用药规律。结果：276首处方中，排名前5位的药物为山茱萸、炒白术、炒白芍、淫羊藿、党参；药性以温性频次最高，其次为平、寒、凉、热性；药味以甘味频次最高，其次为辛、苦、酸、咸味；药物归经以肝经频次最高（2004次），其次为脾、肾经；常用的药物组合有山茱萸-炒白术、山茱萸-炒白芍、炒白术-炒白芍、山茱萸-淫羊藿、山茱萸-炒白术-炒白芍。根据药物关联规则演化得到关联规则7个，聚类处方6组。结论：刘教授治疗乳腺癌以补肾健脾疏肝为主，兼以化瘀解毒抗癌，体现了扶正祛邪的用药规律。 |
| 关键词: 乳腺癌 刘敏 中医传承辅助平台 组方规律 数据挖掘 |
| DOI： |
|
|
| Medication rule of Liu Min in treatment of breast cancer：An analysis based on Traditional Chinese Medicine Inheritance Support System |
| OUYANG Yiran,LIU Min |
| (Suzhou TCM Hospital Affiliated to Nanjing University of Chinese Medicine，Suzhou 215009，Jiangsu，China) |
| Abstract: |
| Objective：To investigate the medication rule of Professor Liu Min in the treatment of breast cancer based on Traditional Chinese Medicine Inheritance Support System (V3.0).Methods：Prescriptions of the first consultation were collected from 276 patients with breast cancer who attended the outpatient service of Professor Liu from January 2021 to June 2023，and Traditional Chinese Medicine Inheritance Support System (V3.0) was used for standardized data entry to establish a database of prescriptions.The modules of this system，including prescription analysis，were used for data mining，and the medication rule of the prescriptions was analyzed.Results：Among the 276 prescriptions，the top 5 drugs were Comus officinalis，fried Atractylodes macrocephala Koidz.，fried Radix Paeoniae Alba，Herba Epimedii，and Codonopsis pilosula.As for the nature of the drug，warm drugs had the highest frequency，followed by neutral，cold，cool,and hot drugs；as for the taste of the drug，the drugs with a sweet taste had the highest frequency，followed by those with a pungent，bitter，sour or salty taste；as for meridian entry，the drugs entering the liver meridian had the highest frequency of 2004 times，followed by those entering the spleen or kidney meridians.Commonly used drug combinations included Comus officinalis-fried Atractylodes macrocephala Koidz.，Comus officinalis-fried Radix Paeoniae Alba，fried Atractylodes macrocephala Koidz.-fried Radix Paeoniae Alba，Comus officinalis-Herba Epimedii，and Comus officinalis-fried Atractylodes macrocephala Koidz.-fried Radix Paeoniae Alba.The association rule analysis obtained 7 association rules，and the cluster analysis obtained 6 clusters of prescriptions.Conclusion：In the treatment of breast cancer，Professor Liu mainly applies the principles of tonifying the kidney，invigorating the spleen，and soothing the liver，in combination with stasis-resolving，detoxicating，and antitumor drugs，which reflects the medication rule of strengthening vital Qi and eliminating pathogens. |
| Key words: breast cancer Liu Min Traditional Chinese Medicine Inheritance Support System prescription rule data mining |
