Epidemiological and clinical characteristics of cancer patients with COVID-19: A systematic review and meta-analysis of global data
- PMID: 33757803
- PMCID: PMC7980494
- DOI: 10.1016/j.canlet.2021.02.012
Epidemiological and clinical characteristics of cancer patients with COVID-19: A systematic review and meta-analysis of global data
Abstract
There are minimal data regarding the prevalence of cancer in patients with coronavirus disease 2019 (COVID-19), as well as the incidence of severe illness and rate of mortality in COVID-19 patients with cancer. PubMed, Embase, Cochrane Library, and Web of Science were systematically searched, from database inception to July 15, 2020, for studies of patients with COVID-19 that included information regarding comorbid cancer. In total, 109 eligible global studies were included in this systematic review. Ninety studies with 94,845 COVID-19 patients, among which 4106 exhibited comorbid cancer, were included in the meta-analysis regarding prevalence of comorbid cancer. Twenty-three studies with 71,969 COVID-19 patients, among which 4351 with comorbid cancer had severe illness or death, were included in the meta-analysis. The overall prevalence of cancer among COVID-19 patients was 0.07 (95% CI 0.05-0.09). The cancer prevalence in COVID-19 patients was higher in Europe (0.22, 95% CI 0.17-0.28) than in the Asia-Pacific region (0.04, 95% CI 0.03-0.06) or North America (0.05, 95% CI 0.04-0.06). The cancer prevalence in COVID-19 patients aged >60 years was 0.10 (95% CI 0.07-0.14), while the prevalence among patients aged ≤60 years was 0.05 (95% CI 0.03-0.06). The pooled prevalence of severe illness among COVID-19 patients with cancer was 0.34 (95% CI 0.26-0.42) and the pooled mortality rate of COVID-19 patients with cancer was 0.20 (95% CI 0.16-0.25). Pooled incidences of severe illness among COVID-19 patients with cancer from Asia Pacific, Europe, and North America were 0.38 (95% CI 0.24-0.52), 0.39 (95% CI 0.25-0.53), and 0.26 (95% CI 0.20-0.31), respectively; pooled mortality rates from the Asia-Pacific region, Europe, and North America were 0.17 (95% CI 0.10-0.24), 0.26 (95% CI 0.18-0.35), and 0.19 (95% CI 0.13-0.25), respectively.
Keywords: Cancer; Clinical characteristics; Covid-19; Epidemiology.
Copyright © 2021 Elsevier B.V. All rights reserved.
Conflict of interest statement
The authors declare that they have no conflicts of interests.
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References
-
- Dai M., Liu D., Liu M., Zhou F., Li G., Chen Z., Zhang Z., You H., Wu M., Zheng Q., Xiong Y., Xiong H., Wang C., Chen C., Xiong F., Zhang Y., Peng Y., Ge S., Zhen B., Yu T., Wang L., Wang H., Liu Y., Chen Y., Mei J., Gao X., Li Z., Gan L., He C., Li Z., Shi Y., Qi Y., Yang J., Tenen D.G., Chai L., Mucci L.A., Santillana M., Cai H. Patients with cancer appear more vulnerable to SARS-CoV-2: a multicenter study during the COVID-19 outbreak. Canc. Discov. 2020;10:783–791. - PMC - PubMed
-
- Kuderer N.M., Choueiri T.K., Shah D.P., Shyr Y., Rubinstein S.M., Rivera D.R., Shete S., Hsu C.Y., Desai A., de Lima Lopes G., Grivas P., Painter C.A., Peters S., Thompson M.A., Bakouny Z., Batist G., Bekaii-Saab T., Ma Bilen, Bouganim N., Larroya M.B., Castellano D., Del Prete S.A., Doroshow D.B., Egan P.C., Elkrief A., Farmakiotis D., Flora D., Galsky M.D., Glover M.J., Griffiths E.A., Gulati A.P., Gupta S., Hafez N., Halfdanarson T.R., Hawley J.E., Hsu E., Kasi A., Khaki A.R., Lemmon C.A., Lewis C., Logan B., Masters T., McKay R.R., Mesa R.A., Morgans A.K., Mulcahy M.F., Panagiotou O.A., Peddi P., Pennell N.A., Reynolds K., Rosen L.R., Rosovsky R., Salazar M., Schmidt A., Shah S.A., Shaya J.A., Steinharter J., Stockerl-Goldstein K.E., Subbiah S., Vinh D.C., Wehbe F.H., Weissmann L.B., Wu J.T., Wulff-Burchfield E., Xie Z., Yeh A., Yu P.P., Zhou A.Y., Zubiri L., Mishra S., Lyman G.H., Rini B.I., Warner J.L. Clinical impact of COVID-19 on patients with cancer (CCC19): a cohort study. Lancet (London, England) 2020;395:1907–1918. - PMC - PubMed
-
- Sica A., Massarotti M. Myeloid suppressor cells in cancer and autoimmunity. J. Autoimmun. 2017;85:117–125. - PubMed
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