The Risk and Prognosis of COVID-19 Infection in Cancer Patients: A Systematic Review and Meta-Analysis

Hematol Oncol Stem Cell Ther. 2022 Jun 1;15(2):45-53. doi: 10.1016/j.hemonc.2020.07.005.

Abstract

Numerous studies have been published regarding outcomes of cancer patients infected with the severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) virus causing the coronavirus disease 2019 (COVID-19) infection. However, most of these are single-center studies with a limited number of patients. To better assess the outcomes of this new infection in this subgroup of susceptible patients, we performed a systematic review and meta-analysis to evaluate the impact of COVID-19 infection on cancer patients. We performed a literature search using PubMed, Web of Science, and Scopus for studies that reported the risk of infection and complications of COVID-19 in cancer patients and retrieved 22 studies (1018 cancer patients). The analysis showed that the frequency of cancer among patients with confirmed COVID-19 was 2.1% (95% confidence interval [CI]: 1.3-3) in the overall cohort. These patients had a mortality of 21.1% (95% CI: 14.7-27.6), severe/critical disease rate of 45.4% (95% CI: 37.4-53.3), intensive care unit (ICU) admission rate of 14.5% (95% CI: 8.5-20.4), and mechanical ventilation rate of 11.7% (95% CI: 5.5-18). The double-arm analysis showed that cancer patients had a higher risk of mortality (odds ratio [OR]=3.23, 95% CI: 1.71-6.13), severe/critical disease (OR=3.91, 95% CI: 2.70-5.67), ICU admission (OR=3.10, 95% CI: 1.85-5.17), and mechanical ventilation (OR=4.86, 95% CI: 1.27-18.65) than non-cancer patients. Furthermore, cancer patients had significantly lower platelet levels and higher D-dimer levels, C-reactive protein levels, and prothrombin time. In conclusion, these results indicate that cancer patients are at a higher risk of COVID-19 infection-related complications. Therefore, cancer patients need diligent preventive care measures and aggressive surveillance for earlier detection of COVID-19 infection.

Publication types

  • Meta-Analysis
  • Systematic Review

MeSH terms

  • COVID-19* / complications
  • Humans
  • Intensive Care Units
  • Neoplasms* / complications
  • Prognosis
  • Respiration, Artificial
  • SARS-CoV-2