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DOI: 10.4103/ijmpo.ijmpo_187_20
A critical review of outcomes of cancer during the COVID-19 pandemic
Financial support and sponsorship Nil.Abstract
The recent outbreak of COVID-19 has created an alarming fear, apprehension, and worry world over. Cancer patients represent a subgroup that is vulnerable and is under high risk. It is, therefore, necessary to analyze factors that predict outcomes in these patients so that they can be triaged accordingly in order to mitigate the effects of COVID-19 on cancer management. To determine the factors affecting cancer patients in COVID-19. A systematic search was performed to identify all relevant studies on PubMed, Embase, and Google Scholar published until April 5, 2020. Relevant articles that reported the incidence, demographic and clinical characteristics, treatment, and outcomes of cancer patients infected by COVID-19 were included in the analysis. Among 559 articles that were further screened, 14 articles fulfilled the inclusion criteria. The incidence of cancer across various studies ranged from 0.5% to 2.43%. Males were more than females, and the mean age affected was 63.1–66 years. Lung cancer was the most common subtype (25%–58.3%). Cancer patients, as reported, had a higher risk of progressing to severe events (hazard ratio:3.56, 95% confidence interval: 1.65–7.69; P < 0.0001). Nearly 39%–53.6% of patients who had a recent history of anticancer therapy developed severe events. Individuals with cancer feared the risk of complications. Cancer patients have worse outcomes from COVID-19, compared to the general population, providing a reason to pay more timely attention. High-risk patients should have vigorous screening and intensive surveillance. Anticancer treatment during COVID-19 should be modified based on the type and prognosis of cancer.
Publication History
Received: 24 April 2020
Accepted: 25 June 2020
Article published online:
17 May 2021
© 2020. Indian Society of Medical and Paediatric Oncology. This is an open access article published by Thieme under the terms of the Creative Commons Attribution-NonDerivative-NonCommercial-License, permitting copying and reproduction so long as the original work is given appropriate credit. Contents may not be used for commercial purposes, or adapted, remixed, transformed or built upon. (https://creativecommons.org/licenses/by-nc-nd/4.0/.)
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