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An accurate prediction model to identify undiagnosed at-risk patients with COPD: a cross-sectional case-finding study
Underuse or unavailability of spirometry is one of the most important factors causing underdiagnosis of COPD. We reported the development of a COPD prediction model to identify at-risk, undiagnosed COPD patients when spirometry was unavailable. This cross-sectional study enrolled subjects aged ≥40 y...
| Autores principales: | , , , , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Nature Publishing Group UK
2019
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6538645/ https://www.ncbi.nlm.nih.gov/pubmed/31138809 http://dx.doi.org/10.1038/s41533-019-0135-9 |