• 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

Analysis of Medication Patterns for Treating Menstrual Disorders with Chong and Ren Disharmony Based on Real-World Data Mining

Corresponding author: HU Xinxin, sunny-hxx@163.com
DOI: 10.12201/bmr.202412.00026
Statement: This article is a preprint and has not been peer-reviewed. It reports new research that has yet to be evaluated and so should not be used to guide clinical practice.
  •  

    Abstract: Abstract: Objective This study employs real-world data mining techniques to analyze the medication patterns used by the Obstetrics and Gynecology team led by Ma Dazheng at Wenzhou TCM Hospital of Zhejiang Chinese Medical University for treating menstrual disorders with Chong and Ren dysfunction, offering valuable insights for clinical practice.. Methods Patient case data from the gynecology outpatient department of Wenzhou Traditional Chinese Medicine Hospital were collected from October 2023 to March 2024. A database was established based on the Traditional Chinese Medicine Inheritance Computer System (V3.0), and various data mining methods, including frequency statistics, association rule analysis, and cluster analysis, were employed to analyze the medication patterns in Traditional Chinese Medicine for treating menstrual disorders with Chong and Ren disharmony. Results A total of 9,003 valid medical cases and prescriptions were collected, involving 410 Chinese medicinal herbs. The top five herbs by frequency were Angelica sinensis, Cuscuta chinensis, Vinegar-processed Cyperus rotundus, Dipsacus asperoides, and Salvia miltiorrhiza. The most common categories of medication were tonifying herbs, blood-activating and stasis-resolving herbs, and heat-clearing herbs. The four qi distribution of medicinals was warm and cold, while the most frequent flavors were bitter and sweet. The meridians primarily involved were the liver and spleen. Association analysis revealed a core combination of herbs including Cuscuta chinensis, Lycium barbarum, Angelica sinensis, Dipsacus asperoides, and Vinegar-processed Cyperus rotundus. After cluster analysis, five effective groups were identified: Class I included Cuscuta chinensis, Angelica sinensis, Vinegar-processed Cyperus rotundus, Dipsacus asperoides, Caulis Spatholobus, and Lycium barbarum; Class II included Chaihu, Angelica sinensis, Poria, fried white peony root, fried Atractylodes macrocephala, and dandelion; Class III included raw Rehmannia, Angelica sinensis, Salvia miltiorrhiza, Dipsacus asperoides, Poria, and Vinegar-processed Cyperus rotundus; Class IV included Poria, Angelica sinensis, dried tangerine peel, Salvia miltiorrhiza, fried Atractylodes macrocephala, and Chuanxiong; Class V included licorice tablets, dandelion, Caulis Spatholobus, small thistle, large thistle, and fried mulberry bark. Conclusion The Obstetrics and Gynecology team led by Ma Dazheng at Wenzhou TCM Hospital of Zhejiang Chinese Medical University employs a treatment approach for menstrual disorders with Ren and Chong dysfunction that emphasizes the use of tonifying, invigorating blood, and heat-clearing medications, while focusing on the balance of the liver, spleen, and kidneys. Their prescribing strategy considers both superficial and underlying conditions, employs a gradual rather than abrupt approach, integrates both cold and warm remedies, and ensures mutual reinforcement and restriction among the treatments

    Key words: Menstrual disorders; Irregular menstruation; Chong and Ren disharmony; Ma Dazheng; Chinese medicine; Medication rule; Real world; Data mining

    Submit time: 9 December 2024

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

  • 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

    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

    Zhao Chengsong. Comparative Study on User Characteristics of Pediatric Prescription Transmission Platform Based on Real-world Data. 2024. doi: 10.12201/bmr.202404.00017

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

    zhang lixin, sun haixia, tang mingkun, qian qing. A Review of Real World Electronic Medical Record Data Evaluation. 2021. doi: 10.12201/bmr.202106.00015

    Yang enfa, Wen Lingzhi, Huang Jianping. An Examination of Ye Tianshis Therapeutic Approaches to Internal Wind Utilizing Data Mining Techniques.. 2024. doi: 10.12201/bmr.202412.00020

    Zhang Dong Yun, Li Chen Cheng, Yin Ce, Zhang Yun Qiu. Analysis of data mining based clinical intelligence decision making technology. 2024. doi: 10.12201/bmr.202402.00009

    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

    quyanli. Efficacy and safety of preoperative chemotherapy in real world patients with locally advanced gastric/gastroesophageal junction adenocarcinoma. 2024. doi: 10.12201/bmr.202409.00052

    Discussion on the Prescription and Medication Rule of Chinese Medicine in Treating Lung Cancer at the Stage of Non-tumor Rehabilitation Based on the Theory of Drug Properties. 2024. doi: 10.12201/bmr.202407.00004

  • ID Submit time Number Download
    1 2024-11-13

    bmr.202412.00026V1

    Download
  • Public  Anonymous  To author only

Get Citation

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. biomedRxiv.202412.00026

Article Metrics

  • Read: 193
  • Download: 0
  • Comment: 0

Email This Article

User name:
Email:*请输入正确邮箱
Code:*验证码错误