Thinking and Practice on the Strategy of Traditional Chinese Medicine Cohort Studies in Chronic Obstructive Pulmonary Disease
10.13288/j.11-2166/r.2026.18.005
- VernacularTitle:慢性阻塞性肺疾病中医队列研究策略的思考与实践
- Author:
Jiansheng LI
1
;
Yang XIE
1
;
Peng ZHANG
2
Author Information
1. Henan University of Chinese Medicine，Co-built Collaborative Innovation Center for Chinese Medicine Prevention and Treatment of Respiratory Diseases by Ministry and Province/Henan Key Laboratory of Chinese Medicine Prevention and Treatment of Respiratory Diseases，Zhengzhou，450046
2. The First Affiliated Hospital of Henan University of Chinese Medicine/Henan International Joint Laboratory for Evidence-Based Evaluation of Respiratory Diseases in Chinese Medicine
- Publication Type:Journal Article
- Keywords:
chronic obstructive pulmonary disease;
traditional Chinese medicine cohort;
cohort study;
efficacy eva-luation;
data model
- From:
Journal of Traditional Chinese Medicine
2026;67(18):1946-1952
- CountryChina
- Language:Chinese
-
Abstract:
Traditional Chinese medicine （TCM） emphasizes individualized and dynamically adjusted treatment strategies in the management of chronic obstructive pulmonary disease （COPD）. However， challenges remain in fully demonstrating the benefits of individualized treatment and long-term outcomes， as well as in addressing the inadequate guidance from comprehensive disease management frameworks and the lack of stage-specific early identification and warning tools. To address these issues， this paper proposes the establishment of TCM cohorts for COPD， focusing on high-risk population screening， full-course management， and comorbidity exploration. Through clearly defining exposure to TCM treatment and evaluating its effectiveness， establishing a disease-specific database and conducting rigorous measurement and analysis， and developing models for early identification and early warning， this paper systematically expounds the advantages and value of TCM cohort studies in assessing long-term efficacy， monitoring disease dynamics， and enabling risk prediction， thereby advancing the innovation and development of COPD prevention and treatment strategies.
