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

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 22,943 subjects...

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Detalles Bibliográficos
Autores principales: Zhang, Buyu, Sun, Dong, Niu, Hongtao, Dong, Fen, Lyu, Jun, Guo, Yu, Du, Huaidong, Chen, Yalin, Chen, Junshi, Cao, Weihua, Yang, Ting, Yu, Canqing, Chen, Zhengming, Li, Liming
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Lippincott Williams & Wilkins 2023
Materias:
Original Articles
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10129090/
https://www.ncbi.nlm.nih.gov/pubmed/37027436
http://dx.doi.org/10.1097/CM9.0000000000002448

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10129090/
https://www.ncbi.nlm.nih.gov/pubmed/37027436
http://dx.doi.org/10.1097/CM9.0000000000002448

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