中医证候研究: 从疾病证候分类到临床疗效评价和组合药物研发

Translated title of the contribution: Zheng Classification in Chinese Medicine: from Its Integration with Disease Diagnosis to Clinical Effectiveness Assessment and Combinational New Drug Discovery

Research output: Contribution to journalArticlepeer-review

Abstract

证候作为中医基础理论的核心,其重要作用是诊断分类,指导临床遣方用药。将证候分类理论与现代医学疾病诊断进行融合,可望改变临床诊断模式,对患者进行更加精细的中西医结合医学分类,从而促进个体化医疗的发展。笔者以类风湿关节炎及其典型证候作为切入点,应用系统生物学方法,遵循循证医学理念,探索疾病证候分类的科学基础,并在此基础上开展中医药临床疗效评价研究和基于中药复方理念的组合药物开发研究,形成了一些可供参考的研究思路和方法。

As the core of traditional Chinese medicine theory, Zheng (syndrome, or pattern) classification will promote personalized medicine by changing the clinical diagnosis into a more precise mode when integrating Zheng classification with disease diagnosis approaches. The author adopted rheumatoid arthritis (RA) as a disease model, to explore the scientific fundamentals of Zheng classification based on disease diagnosis using systemic biological approaches and evidence-based medicine design, as well as developed novel approaches on the methodology of clinical effectiveness evaluation on Chinese medicine and R&D of combinational drugs design based on Fu Fang (Chinese herbal formula). Some unique research design and methods are herein introduced.

Translated title of the contributionZheng Classification in Chinese Medicine: from Its Integration with Disease Diagnosis to Clinical Effectiveness Assessment and Combinational New Drug Discovery
Original languageChinese (Simplified)
Pages (from-to)942-945
Number of pages4
Journal中国中西医结合杂志
Volume35
Issue number8
DOIs
Publication statusPublished - 1 Aug 2015

Scopus Subject Areas

  • Medicine(all)

User-Defined Keywords

  • 证候分类
  • 类风湿关节炎
  • 组合药物
  • 疾病诊断
  • 循证医学
  • Zheng classification
  • rheumatoid arthritis
  • combinational drug
  • diagnosis
  • evidence-based medicine

Fingerprint

Dive into the research topics of 'Zheng Classification in Chinese Medicine: from Its Integration with Disease Diagnosis to Clinical Effectiveness Assessment and Combinational New Drug Discovery'. Together they form a unique fingerprint.

Cite this