Chinese Journal of Pharmacovigilance ›› 2026, Vol. 23 ›› Issue (4): 443-449.
DOI: 10.19803/j.1672-8629.20250655

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Core Prescriptions for Oral Gangrene Based on “Literature Prescriptions-Medical Record Practices-Network Prediction”

CHANG Mengli1, ZHANG Fengrong1, LI Yu1, WANG Huanhuan2,3, XU He1, ZHANG Yi1, WU Hongwei1, TANG Shihuan1,*   

  1. 1Institute of Chinese Materia Medica, China Academy of Chinese Medical Sciences, Beijing 100700, China;
    2Institute of Integrative Medicine for Acute Abdominal Diseases, Tianjin 300100, China;
    3Institute of Integrative Medicine for Acute Abdominal Diseases, Hospital of Integrated Chinese and Western Medicine, Tianjin University of TCM, Tianjin 300100, China
  • Received:2025-09-14 Online:2026-04-15 Published:2026-04-15

Abstract: Objective To analyze the way ancient and modern proved prescriptions for oral gangrene are used in order to provide data for clinical medication and development of new drugs. Methods Prescriptions, ancient or modern, for the treatment of gangrene were collected before drug frequency, association rules, and compatibility of combination prescriptions were analyzed using the Traditional Chinese Medicine Inheritance Platform System (TCMICS) 3.0. The pharmacodynamic effects of potential prescriptions were predicted based on the TCMATCOV platform. Results A total of 389 ancient proved prescriptions were obtained, involving 450 types of traditional Chinese medicinal materials, and 167 pairs of high-frequency drug combinations, compared with 132, 221 and 242 respectively for modern proved cases. The percentage of common drug pairs was 7% (28), such as Glycyrrhizae Radix et Rhizoma-Angelicae Sinensis Radix and Angelicae Sinensis Radix-Astragali Radix. Five types of core prescriptions were obtained from the ancient proved prescriptions and modern proved cases. The results of the TCMATCOV platform analysis showed that drug combinations of the ancient proved recipes and modern proved cases had high scores. Based on comparisons, drug combination (Olibanum, Angelicae Sinensis Radix, Myrrh, Glycyrrhizae Radix et Rhizoma, Lonicerae Japonicae Flos, Angelicae Dahuricae Radix) from ancient proved prescriptions proved to be the best target of development. Conclusion By taking gangrene as an example, the “literature prescriptions-medical record practices-network prediction” method has been established, which can provide references for the prevention and treatment of clinically dominant diseases and the screening of candidate prescriptions of traditional Chinese medicine.

Key words: Glycyrrhizae Radix et Rhizoma-Angelicae Sinensis Radix, Angelicae Sinensis Radix-Astragali Radix, Gangrene, Prescription Screening, Data Mining, Ancient Proved Prescriptions, Modern Proved Cases

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