• 国家药监局综合司 国家卫生健康委办公厅
  • 国家药监局综合司 国家卫生健康委办公厅

基于数据挖掘的中医药治疗肝癌合并腹水的用药规律探析

通讯作者: 王明刚, wmgyx2012@163.com
DOI:10.12201/bmr.202603.00081
声明:预印本系统所发表的论文仅用于最新科研成果的交流与共享,未经同行评议,因此不建议直接应用于指导临床实践。

Analysis of medication patterns of Traditional Chinese medicine for liver cancer with ascites based on data mining

Corresponding author: Wang Minggang, wmgyx2012@163.com
  • 摘要:目的:挖掘中医药治疗肝癌合并腹水的用药规律。方法:系统检索中国知网、万方、维普数据库,检索时间为2005年1月1日至2025年8月31日期间所有关于中医药治疗肝癌合并腹水的临床研究文献,按照纳入标准筛选文献,构建Excel数据库,运用RStudio进行数据清洗及中药频数统计,采用SPSS Modeler 18.0、SPSS Statistics 31.0进行数据分析。结果:纳入文献22篇,得到中药处方22首,涉及90味中药;中药以补虚药、利水渗湿药、解表药使用居多,中药的药性多为寒、温、平,药味以甘、苦、辛为主,归经则为肝、脾、肺、胃、肾居多;得到12味高频药物;使用频次居前三的药对为黄芪-白术、柴胡-白术、茯苓-白术,较常使用的药物组合为黄芪-柴胡-白术、泽泻-柴胡-白术、茯苓-柴胡-白术;聚类分析可分为调和脾胃类、疏肝健脾利水类、补脾行水类三大类。结论:中医药治疗肝癌合并腹水组方以补法、消法为准则,注重行气利水消肿,不忘调理阴阳,固护脾胃。

    关键词: 肝癌合并腹水数据挖掘用药规律文献研究

     

    Abstract: Objective:To explore the medication patterns of traditional Chinese medicine (TCM) in the treatment of liver cancer with ascites. Methods: A systematic retrieval was conducted in databases such as China National Knowledge Infrastructure (CNKI), Wanfang, and VIP. All clinical research literature on TCM treatment for liver cancer with ascites published between January 1, 2005, and August 31, 2025, was retrieved. Literature was screened according to inclusion criteria, an Excel database was constructed, data cleaning and TCM frequency statistics were performed using RStudio, and data analysis was conducted with SPSS Modeler 18.0 and SPSS Statistics 31.0. Results: A total of 22 articles were included, yielding 22 TCM prescriptions involving 90 types of herbs. The most frequently used TCM categories were tonifying agents, diuretic and dampness-resolving agents, and exterior-releasing agents. The primary properties of the herbs were cold, warm, and neutral, while their primary tastes were sweet, bitter, and pungent. The main meridians targeted were the Liver, Spleen, Lung, Stomach, and Kidney. Twelve high-frequency herbs were identified. The top three most frequently used herb pairs were Astragalus and Atractylodes, Bupleurum and Atractylodes, and Poria and Atractylodes. Commonly used herb combinations included Astragalus-Bupleurum-Atractylodes, Alisma-Bupleurum-Atractylodes, and Poria-Bupleurum-Atractylodes. Cluster analysis categorized the prescriptions into three major types: spleen-stomach harmonizing, liver-soothing, spleen-strengthening, and water-promoting, and water-draining, and spleen-nourishing and water-moving. Conclusion: The prescription principles of TCM for liver cancer with ascites are primarily based on tonification and elimination methods, emphasizing qi-moving, water-promoting, and edema-reducing effects, while also focusing on balancing yin and yang and protecting the spleen and stomach.

    Key words: hepatocellular carcinoma with ascites; data mining; medication patterns; literature review

    提交时间:2026-03-19

    版权声明:作者本人独立拥有该论文的版权,预印本系统仅拥有论文的永久保存权利。任何人未经允许不得重复使用。
  • 图表

  • 洪天琪, 杨笑亚, 张慧燕, 葛凯莉, 薛洋洋, 魏春山. 基于数据挖掘和网络药理学探析肝癌的用药规律及作用机制. 2024. doi: 10.12201/bmr.202407.00040

    杨亚峰, 王晓燕, 刘丽平, 孔令霞, 郑晓娟, 陈茁. 基于数据挖掘探析从“少阳为枢”理论治疗小儿夜咳的用药规律. 2025. doi: 10.12201/bmr.202502.00014

    刘永珍, 王玲, 刘福蓉. 中医药治疗放射性口腔黏膜炎的用药规律分析. 2025. doi: 10.12201/bmr.202504.00049

    刘涛, 刘晓岚, 谢义松. 基于数据挖掘技术分析腰痹病的临床用药规律. 2025. doi: 10.12201/bmr.202512.00046

    覃蓝逸, 文艺群, 陆灵娟. 基于数据挖掘和网络药理学探讨中医药治疗老年性耳聋的用药规律. 2025. doi: 10.12201/bmr.202506.00077

    李晟, 陈钦. 基于数据挖掘探析名老中医治疗特发性膜性肾病的用药规律. 2025. doi: 10.12201/bmr.202507.00050

    章璐璐, 胡欣欣, 高楚楚, 朱雪梅, 潘伊伊. 基于真实世界数据挖掘分析治疗月经病冲任失调证的用药规律. 2024. doi: 10.12201/bmr.202412.00026

    杨俊杰, 栗梦凡, 张霖, 张益伟. 基于数据挖掘分析梁晖教授治疗失眠用药规律及机制探讨. 2024. doi: 10.12201/bmr.202410.00039

    李苑, 钱琳, 杨义. 中药治疗乳腺癌用药规律研究—基于真实世界的数据挖掘. 2025. doi: 10.12201/bmr.202506.00022

    马怀玉, .金晖, 徐浩然, 戚雅涵, 曾景奇. 基于数据挖掘探讨名老中医治疗腰痛的用药规律研究. 2025. doi: 10.12201/bmr.202510.00020

  • 序号 提交日期 编号 操作
    1 2026-02-26

    10.12201/bmr.202603.00081V1

    下载
  • 公开评论  匿名评论  仅发给作者

引用格式

钟军, 王明刚, 毛德文, 刘好, 董嘉美, 刘星宇, 林星佐. 基于数据挖掘的中医药治疗肝癌合并腹水的用药规律探析. 2026. biomedRxiv.202603.00081

访问统计

  • 阅读量:8
  • 下载量: 0
  • 评论数:0

Email This Article

User name:
Email:*请输入正确邮箱
Code:*验证码错误