1. The effect of anticancer treatment on cancer patients with COVID‐19: A systematic review and meta‐analysis
- Author
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Han-Qing Liu, Zhi-Hong Sun, Yutong Zou, Chuang Chen, Shengrong Sun, Dan Yang, and Xinyue Chen
- Subjects
0301 basic medicine ,Cancer Research ,medicine.medical_specialty ,medicine.medical_treatment ,Reviews ,Antineoplastic Agents ,Review ,Cochrane Library ,Medical Oncology ,chemotherapy ,lcsh:RC254-282 ,03 medical and health sciences ,0302 clinical medicine ,COVID‐19 ,Neoplasms ,Internal medicine ,Outcome Assessment, Health Care ,Forest plot ,Humans ,Medicine ,cancer ,Radiology, Nuclear Medicine and imaging ,Prospective cohort study ,Pandemics ,Chemotherapy ,hematological malignancy ,SARS-CoV-2 ,business.industry ,COVID-19 ,Cancer ,Publication bias ,Prognosis ,medicine.disease ,lcsh:Neoplasms. Tumors. Oncology. Including cancer and carcinogens ,030104 developmental biology ,Oncology ,030220 oncology & carcinogenesis ,Meta-analysis ,business ,Stem Cell Transplantation ,Cohort study - Abstract
Background The relationship between cancer and COVID‐19 has been revealed during the pandemic. Some anticancer treatments have been reported to have negative influences on COVID‐19‐infected patients while other studies did not support this hypothesis. Methods A literature search was conducted in WOS, PubMed, Embase, Cochrane Library, CNKI and VIP between Dec 1, 2019 and Sept 23, 2020 for studies on anticancer treatments in patients with COVID‐19. Cohort studies involving over 20 patients with cancer were included. The characteristics of the patients and studies, treatment types, mortality, and other additional outcomes were extracted and pooled for synthesis. RRs and forest plots were adopted to present the results. The literature quality and publication bias were assessed using NOS and Egger's test, respectively. Results We analyzed the data from 29 studies, with 5121 cancer patients with COVID‐19 meeting the inclusion criteria. There were no significant differences in mortality between patients receiving anticancer treatment and those not (RR 1.17, 95%CI: 0.96–1.43, I2=66%, p = 0.12). Importantly, in patients with hematological malignancies, chemotherapy could markedly increase the mortality (RR 2.68, 95% CI: 1.90–3.78, I2=0%, p, No significant difference was seen in any anticancer treatments in solid tumor subgroup. Chemotherapy, however, will lead to a higher mortality in patients with hematological malignancies.
- Published
- 2021