Development of a prediction model to identify undiagnosed chronic obstructive pulmonary disease patients in primary care settings in China

Development of a prediction model to identify undiagnosed chronic obstructive pulmonary disease patients in primary care settings in China

Abstract. Background:. At present, a large number of chronic obstructive pulmonary disease (COPD) patients are undiagnosed in China. Thus, this study aimed to develop a simple prediction model as a screening tool to identify patients at risk for COPD. Methods:. The study was based on the data of 22,...

Full description

Bibliographic Details
Main Authors: Buyu Zhang, Dong Sun, Hongtao Niu, Fen Dong, Jun Lyu, Yu Guo, Huaidong Du, Yalin Chen, Junshi Chen, Weihua Cao, Ting Yang, Canqing Yu, Zhengming Chen, Liming Li, Peifang Wei, Xiangxiang Pan, on behalf of the China Kadoorie Biobank Collaborative Group
Format: Article
Language:English
Published: Wolters Kluwer 2023-03-01
Series:Chinese Medical Journal
Online Access:http://journals.lww.com/10.1097/CM9.0000000000002448

Internet

http://journals.lww.com/10.1097/CM9.0000000000002448

Similar Items