A Systematic Review and Meta-Analysis of Cancer Patients Affected by a Novel Coronavirus

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Abstract

Background: Cancer patients with coronavirus disease 2019 (COVID-19) have been reported to have double the case fatality rate of the general population. Methods: A systematic search of PubMed, Embase, and Cochrane Central was done for studies on cancer patients with COVID-19. Pooled proportions were calculated for categorical variables. Odds ratio (OR) and forest plots (random-effects model) were constructed for both primary and secondary outcomes. Results: This systematic review of 38 studies and meta-Analysis of 181 323 patients from 26 studies included 23 736 cancer patients. Our meta-Analysis shows that cancer patients with COVID-19 have a higher likelihood of death (n=165 980, OR = 2.54, 95% confidence interval [CI] = 1.47 to 4.42), which was largely driven by mortality among patients in China. Cancer patients were more likely to be intubated. Among cancer subtypes, the mortality was highest in hematological malignancies (n=878, OR = 2.39, 95% CI = 1.17 to 4.87) followed by lung cancer (n=646, OR = 1.83, 95% CI = 1.00 to 3.37). There was no association between receipt of particular type of oncologic therapy and mortality. Our study showed that cancer patients affected by COVID-19 are a decade older than the normal population and have a higher proportion of comorbidities. There was insufficient data to assess the association of COVID-19 directed therapy and survival outcomes in cancer patients. Conclusion: Cancer patients with COVID-19 disease are at increased risk of mortality and morbidity. A more nuanced understanding of the interaction between cancer-directed therapies and COVID-19 directed therapies is needed. This will require uniform prospective recording of data, possibly in multi-institutional registry databases.

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Venkatesulu, B. P., Chandrasekar, V. T., Girdhar, P., Advani, P., Sharma, A., Elumalai, T., … Krishnan, S. (2021, April 1). A Systematic Review and Meta-Analysis of Cancer Patients Affected by a Novel Coronavirus. JNCI Cancer Spectrum. Oxford University Press. https://doi.org/10.1093/jncics/pkaa102

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