Analysis of the medication rules of famous traditional Chinese medicine practitioners for the treatment of Idiopathic Membranous Nephropathy based on data mining

Corresponding author: chenqin, chenqin2858@163.com

DOI: 10.12201/bmr.202507.00050

•  

  Abstract: Abstract Objective To explore the medication patterns of nationally renowned veteran Traditional Chinese Medicine (TCM) practitioners in treating challenging aspects of Idiopathic Membranous Nephropathy (IMN) based on data mining. Methods Medical records meeting the inclusion and exclusion criteria were collected. Statistical analysis of syndrome patterns, herb frequency, association rules, and cluster analysis were conducted for key challenges, including disease duration ≥1 year, renal impairment, hypoalbuminemia, and hypertriglyceridemia. Results A total of 128 medical cases were included. Spleen-kidney deficiency syndrome was identified as the most common pattern. Based on herb frequency and association rule analysis, Radix Astragali, Atractylodes macrocephala, Wolfiporia extensa, angelica sinensis and salvia miltiorrhiza were the most frequently used in prescription. Cluster analysis revealed core herbal groupings primarily based on classical formulas such as Zhenwu Decoction,Shenling Baizhu Powder, and Shuilu Erxian Dan. Conclusion In the medical cases addressing treatment challenges, the syndrome is characterized by root deficiency and branch excess, with the core therapeutic principle focusing on fortifying the spleen and tonifying the kidney. For patients with a disease duration ≥1 year, insect-derived herbs were added to dredge collaterals and dislodge the disease root. Cases with renal impairment emphasized warming yang and dispelling wind; those with hypoalbuminemia prioritized nourishing yin, consolidating the root, and clearing heat-toxins; and patients with hypertriglyceridemia were additionally treated with heat-clearing and dampness-resolving methods.

  Key words: idiopathic membranous nephropathy; difficulty in treatment; famous old Chinese medicine practitioners; medication rules; data mining

  Submit time: 16 July 2025

  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

• 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

  Lei Genping, #Wang Ting, Dong Sheng, Xie Jiongdong, Lu Xian, Yang Dong. Safety and effectiveness of traditional Chinese medicine compound in treating idiopathic membranous Nephropathy Network Meta-analysis. 2024. doi: 10.12201/bmr.202412.00003

  LiYu, Yang Tao, Hu Kongfa. Research on Medication Rules of Famous TCM Physicians in Treating Lung Cancer Based on Hierarchical Community Partition Algorithm. 2021. doi: 10.12201/bmr.202110.00020

  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

  王婷, changyahui, qinzujie, wangchenglong, zhangmeng, caoyangmeng, dengsiyan. Based on Data Mining:Analysis of Medication Rules and Clinical Experience for Asthenia. 2025. doi: 10.12201/bmr.202507.00063

  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

  Based on data mining, the medication rule of Professor Zhong Jie in the treatment of ovarian reserve dysfunction was discussed. 2025. doi: 10.12201/bmr.202504.00005

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

  ZHENG Yongfei, ZHOU Minhua, YE Yiping. Study on the regularity of medication of Director Ye Yiping in the treatment of lung cancer based on data mining methods. 2024. doi: 10.12201/bmr.202407.00030

  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

• ID	Submit time	Number	Download
  1	2025-05-08	bmr.202507.00050V1	Download

• Public  Anonymous  To author only Submit Comments