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

Corresponding author: Wang Minggang, wmgyx2012@163.com

DOI: 10.12201/bmr.202603.00081

•  

  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

  Submit time: 19 March 2026

  Copyright: The copyright holder for this preprint is the author/funder, who has granted biomedRxiv a license to display the preprint in perpetuity.
• html

• 图表

• Wei Chunshan. Exploring medication rules and mechanism for liver cancer based on data mining and network pharmacology. 2024. doi: 10.12201/bmr.202407.00040

  WANG Xiaoyan, LIU Liping, KOANG Lingxia, ZHENG Xiaojuan, CHUN Zhuo. Exploring the Medication Patterns of Pediatric Night Cough Treatment Based on the Shaoyang Pivot Theory through Data Mining. 2025. doi: 10.12201/bmr.202502.00014

  刘永珍, Wang ling, Liu Fu Ron. Medication patterns of traditional Chinese medicine in the treatment of radiotherapy-induced oral mucositis:A study based on data mining. 2025. doi: 10.12201/bmr.202504.00049

  LiuXiaoLan, XieYiSong. Analysis of Clinical Medication Patterns for Lumbar Arthralgia Syndrome Based on Data Mining Technique. 2025. doi: 10.12201/bmr.202512.00046

  Wen yiqun, LU Lingjuan. Based on data mining and network pharmacology, this paper explores the medication rules of traditional Chinese medicine in the treatment of senile deafness. 2025. doi: 10.12201/bmr.202506.00077

  chenqin. Analysis of the medication rules of famous traditional Chinese medicine practitioners for the treatment of Idiopathic Membranous Nephropathy based on data mining. 2025. doi: 10.12201/bmr.202507.00050

  HU Xinxin, GAO Chuchu, ZHU Xueme, PAN Yiyi. Analysis of Medication Patterns for Treating Menstrual Disorders with Chong and Ren Disharmony Based on Real-World Data Mining. 2024. doi: 10.12201/bmr.202412.00026

  limengfan, zhangllin, zhangyiwei. Exploration of the Medication Patterns and Mechanisms in the Treatment of Insomnia by Professor Liang Hui Based on Data Mining Analysis. 2024. doi: 10.12201/bmr.202410.00039

  qianlin, yangyi. Analysis the Medication Regularity of TCM in the Treatment of Breast Cancer in the Real World Based on Data Mining Method. 2025. doi: 10.12201/bmr.202506.00022

  jinhui, xuhaoran, qiyahan, zengjingqi. Data Mining-Based Study on the Medication Rules of Renowned Chinese Medicine Practitioners in Treating Back Pain?. 2025. doi: 10.12201/bmr.202510.00020

• ID	Submit time	Number	Download
  1	2026-02-26	10.12201/bmr.202603.00081V1	Download

• Public  Anonymous  To author only Submit Comments