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KMID : 0900220230300020069
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2023 Volume.30 No. 2 p.69 ~ p.79
Prognostic Factors for Survival or Severity After COVID-19 Infection in Cancer Patients: A Systematic Review and Meta-Analysis
Lee Eun-Jung

Cho Jae-Hoon
Abstract
Background and Objectives: Cancer organizations worldwide have recently released care guidelines for cancer patients with coronavirus disease 2019 (COVID-19). Several studies have reported higher mortality rates in cancer patients with COVID-19. However, drawing robust conclusions remains challenging due to a lack of research on clinical prognostic factors in this patient group.

Methods: A comprehensive literature search was conducted using the PubMed, Embase, and Cochrane databases. We searched the keywords in the following combination: (¡°COVID-19¡± or ¡°coronavirus¡± or ¡°wuhan virus¡±) and (¡°cancer¡±). The search was performed on August 1, 2020, and only papers written in English were included in this study. We collected data from 3,215 cancer patients with COVID-19 from 16 studies and analyzed overall mortality after COVID-19 infection in cancer patients compared to controls, as well as prognostic factors for severity and mortality after COVID-19 infection. The prognostic factors analyzed encompassed demographics, comorbidities, symptoms, cancer treatment within 4 weeks of COVID-19 diagnosis, and treatment for COVID-19 infection.

Results: This meta-analysis evaluated mortality rates and related prognostic factors in cancer patients infected with COVID-19. First, 15 of the 16 studies reported mortality data; 663 patients died among a total of 3,215 people, resulting in a combined mortality rate of 21%. Second, the following poor prognostic factors were identified: male sex, older age (¡Ã65 years), respiratory symptoms (e.g., cough and dyspnea), and other comorbidities (e.g., cardiovascular disease, hypertension, and chronic obstructive pulmonary disease).

Conclusion: The mortality of cancer patients infected with COVID-19 can reach about 20%.
KEYWORD
COVID-19, Cancer, Prognosis, Mortality, Meta-analysis
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