The DOI matches its Crossref record; 5 of the 5 references it cites were found in a registry or an index.
The impact of COPD and smoking history on the severity of COVID‐19: A systemic review and meta‐analysis
Open accessAbstract
Comorbidities are associated with the severity of coronavirus disease 2019 (COVID‐19). This meta‐analysis aimed to explore the risk of severe COVID‐19 in patients with pre‐existing chronic obstructive pulmonary disease (COPD) and ongoing smoking history. A comprehensive systematic literature search was carried out to find studies published from December 2019 to 22 March 2020 from five databases. The languages of literature included English and Chinese. The point prevalence of severe COVID‐19 in patients with pre‐existing COPD and those with ongoing smoking was evaluated with this meta‐analysis. Overall 11 case series, published either in Chinese or English language with a total of 2002 cases, were included in this study. The pooled OR of COPD and the development of severe COVID‐19 was 4.38 (fixed‐effects model; 95% CI: 2.34‐8.20), while the OR of ongoing smoking was 1.98 (fixed‐effects model; 95% CI: 1.29‐3.05). There was no publication bias as examined by the funnel plot and Egger's test (P = not significant). The heterogeneity of included studies was moderate for both COPD and ongoing smoking history on the severity of COVID‐19. COPD and ongoing smoking history attribute to the worse progression and outcome of COVID‐19.
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Cites
Clinical features of patients infected with 2019 novel coronavirus in Wuhan, China
Huang, C., Wang, Y., Li, X., Ren, L., Zhao, J., Hu, Y., Zhang, L., Fan, G., Xu, J., Gu, X., et al. (2020) · The Lancet · doi:10.1016/s0140-6736(20)30183-5 · Cited by 48,884
Clinical characteristics of coronavirus disease 2019 in China
Guan, W.-J., Ni, Z.-Y., Hu, Y., Liang, W.-H., Ou, C.-Q., He, J.-X., Liu, L., Shan, H., Lei, C.-L., Hui, D. S. C., et al. (2020) · New England Journal of Medicine · doi:10.1056/nejmoa2002032 · Cited by 30,246
Zhou, F., Yu, T., Du, R., Fan, G., Liu, Y., Liu, Z., Xiang, J., Wang, Y., Song, B., Gu, X., et al. (2020) · The Lancet · doi:10.1016/s0140-6736(20)30566-3 · Cited by 27,263
Li, Y., Bai, W., & Hashikawa, T. (2020) · Journal of Medical Virology · doi:10.1002/jmv.25728 · Cited by 2,266
Clinical Features of 69 Cases With Coronavirus Disease 2019 in Wuhan, China
Wang, Z., Yang, B., Li, Q., Wen, L., & Zhang, R. (2020) · Clinical Infectious Diseases · doi:10.1093/cid/ciaa272 · Cited by 1,063
Cited by
Mechanisms of SARS-CoV-2 entry into cells
Jackson, C. B., Farzan, M., Chen, B., & Choe, H. (2022) · Nature Reviews Molecular Cell Biology · doi:10.1038/s41580-021-00418-x · Cited by 3,022
Smoking is associated with COVID-19 progression: a meta-analysis
Patanavanich, R., & Glantz, S. A. (2020) · Nicotine & Tobacco Research · doi:10.1093/ntr/ntaa082 · Cited by 765
COVID-19 pulmonary pathology: a multi-institutional autopsy cohort from Italy and New York City
Borczuk, A. C., Salvatore, S. P., Seshan, S. V., Patel, S. S., Bussel, J. B., Mostyka, M., Elsoukkary, S., He, B., Del Vecchio, C., Fortarezza, F., et al. (2020) · Modern Pathology · doi:10.1038/s41379-020-00661-1 · Cited by 452
Prevalence of comorbidities among individuals with COVID-19: A rapid review of current literature
Bajgain, K. T., Badal, S., Bajgain, B. B., & Santana, M. J. (2021) · American Journal of Infection Control · doi:10.1016/j.ajic.2020.06.213 · Cited by 328
Dorjee, K., Kim, H., Bonomo, E., & Dolma, R. (2020) · PLOS ONE · doi:10.1371/journal.pone.0243191 · Cited by 216
Metadata
- Authors
- Zhao, Q., Meng, M., Kumar, R., Wu, Y., Huang, J., Lian, N., Deng, Y., & Lin, S.
- Venue
- Journal of Medical Virology
- Publisher
- Wiley
- Published
- 2020-05-17
- Volume
- 92
- Issue
- 10
- Pages
- 1915-1921
- ISSN
- 0146-6615 (ISSN-L)
- 1096-9071
- OpenAlex
- W3015890581
- Cited by
- 724
- References
- 5
- FWCI
- 19.92
- Type
- journal article
- Language
- en
- Open access
- bronze
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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
