Cancer is associated with coronavirus disease (COVID-19) severity and mortality: A pooled analysis

Am J Emerg Med. 2021 Jul:45:179-184. doi: 10.1016/j.ajem.2020.08.025. Epub 2020 Aug 20.

Abstract

Background: Coronavirus disease 2019 (COVID-19) is a rapidly escalating pandemic that has spread to many parts of the world. As such, there is urgent need to identify predictors of clinical severity in COVID-19 patients. This may be useful for early identification of patients who may require life-saving interventions. In this meta-analysis, we evaluated whether malignancies are associated with a significantly enhanced odds of COVID-19 severity and mortality.

Method: A systematic search of literature was conducted between November 1, 2019, to May 26th, 2020 on PubMed and China National Knowledge Infrastructure (CNKI) to identify studies reporting data on cancers in patients with or without severe COVID-19 were included. The primary outcome of interest was the association between malignancies and COVID-19 severity, while the secondary outcome was the association between malignancies and COVID-19 mortality. Data were pooled into a meta-analysis to estimate pooled odds ratio (OR) with 95% confidence interval (95% CI) for either outcome.

Results: A total of 20 studies (n = 4549 patients) were included. Overall, malignancies were found to be associated with significantly increased odds of COVID-19 severity (OR = 2.17; 95% CI 1.47-3.196; p < 0.001) and mortality (OR = 2.39; 95% CI 1.18-4.85; p = 0.016). No heterogeneity was observed for both outcomes (Cochran's Q = 6.558, p = 0.922, I2 = 0% and Cochran's Q = 2.91, p = 0.71, I2 = 0% respectively).

Conclusion: Malignancies were significantly associated with a 2-fold increase in the odds of developing severe COVID-19 disease, as well as mortality. Larger studies are needed to corroborate these findings. These patients should be closely monitored for any signs of unfavorable disease progression.

Keywords: COVID-19; Cancer; Mortality; Severity.

Publication types

  • Systematic Review

MeSH terms

  • COVID-19 / epidemiology*
  • Comorbidity
  • Global Health
  • Humans
  • Neoplasms / epidemiology*
  • Pandemics*
  • Risk Assessment / methods*
  • Risk Factors
  • SARS-CoV-2
  • Severity of Illness Index
  • Survival Rate / trends