主 办:北 京 中 医 药 大 学
ISSN 1006-2157 CN 11-3574/R

JOURNAL OF BEIJING UNIVERSITY OF TRADITIONAL CHINESE MEDICINE ›› 2021, Vol. 44 ›› Issue (4): 374-379.doi: 10.3969/j.issn.1006-2157.2021.04.013

• Clinical Studies • Previous Articles     Next Articles

Application of focus on identification of pathogenesis in the prevention and treatment of malignant tumors*

Wang Li1, Li Ping2#   

  1. 1 Graduate School, Anhui University of Chinese Medicine, Anhui 230038, China;
    2 First Affiliated Hospital, Anhui Medical University, Anhui 230022, China
  • Received:2020-10-02 Published:2021-04-29
  • Contact: Prof. Li Ping, Ph.D., Doctor's Supervisor. First Affiliated Hospital, Anhui Medical University. No.120, Wanshui Road , High and New Technology Industrial Development Zone, Anhui 230022. E-mail: liping64@sina.com
  • Supported by:
    National Natural Science Foundation of China (No.81673908)

Abstract: Pathogenesis theory is an important component of the theoretical system of Traditional Chinese medicine (TCM). Identification of pathogenesis is of great significance for the prevention and treatment of malignant tumors. From the perspective of accurate diagnosis and treatment and disease prediction, this paper compares pathogenesis and pattern, highlighting the advantages of focus on identification of pathogenesis in the prevention and treatment of malignant tumors. This paper elaborates on the application of pathogenesis theory into the prevention and treatment of malignant tumor combining the theory of constitution and based on the understanding of the pathogenesis of malignant tumor, emphasizing the “adherence to the pathogenesis”, clarifying the development stage of malignant tumor, from the four aspects of “stabilizing and generating, invigorating the vitality, clearing away tumor toxin and disease collateral”, so as to improve the clinical efficacy of TCM in the prevention and treatment of malignant tumor.

Key words: malignant tumors, pathogenesis, constitution theory, focus on Identification of pathogenesis, accurate treatment

CLC Number: 

  • R273