Abstract
Background The association between prior exposure to immune checkpoint inhibitor (ICI) and outcomes of cancer patients with coronavirus disease 2019 (COVID-19) infection has yet to be systematically evaluated. As the current evidence remains equivocal, this meta-analysis aims to investigate the effects of ICI treatment on COVID-19 prognosis, including mortality, severity, and hospitalization.Methods Eligible studies published up to 14 September 2020 were included and assessed for risk of bias using the Quality in Prognosis Studies tool. A random-effects meta-analysis was conducted to estimate the pooled effect size along with 95% confidence intervals (CIs). The quality of body evidence was evaluated using the modified Grading of Recommendations Assessment, Development, and Evaluation (GRADE) framework.Results Six studies involving a total of 1647 COVID-19-infected cancer patients were included in the systematic review. We discovered that prior ICI exposure was not associated with COVID-19 mortality (odds ratio [OR] 0.93 [95% CI: 0.37-2.36]; I2=30%), severity (OR 1.15 [95% CI: 0.40-3.28]; I2=0%), and hospitalization (OR 1.35 [95% CI: 0.64-2.87]; I2=51%). However, we discovered that prior exposure to chemoimmunotherapy predicted COVID-19 severity (OR 8.19 [95% CI: 2.67-25.08]; I2=0%), albeit with small sample size. GRADE assessments resulted in moderate-quality evidence for mortality, while the other outcomes yielded very low-to-low-quality evidenceConclusion Our findings indicated that ICI treatment should not be adjourned nor terminated during the current pandemic. Rather, COVID-19 vigilance should be increased, especially in patients receiving chemoimmunotherapy. Further studies with larger ICI cohorts are required to confirm our findingsTrial registration number: This project has been prospectively registered at PROSPERO (registration ID: CRD42020202142) on 4 August 2020.
Does immune checkpoint inhibitor increase the risks of poor outcomes in COVID-19-infected cancer patients? A systematic review and meta-analysis
