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Impact of cancer types on COVID-19 infection and mortality risk: a protocol for systematic review and meta-analysis
INTRODUCTION: The COVID-19 pandemic has created a huge social and economic burden, and the lifestyles of individuals have significantly changed. In addition, the diagnosis, treatment and management of patients with cancer were greatly affected. Studies have shown that patients with cancer are at a h...
Autores principales: | , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BMJ Publishing Group
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9271838/ https://www.ncbi.nlm.nih.gov/pubmed/35803638 http://dx.doi.org/10.1136/bmjopen-2021-058078 |
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author | Zou, Jianhua Xiao, Zhanshuo Yang, Jingyan Li, Liusheng Hao, Tengteng Cui, Ning Wu, Jiao Wu, Yu |
author_facet | Zou, Jianhua Xiao, Zhanshuo Yang, Jingyan Li, Liusheng Hao, Tengteng Cui, Ning Wu, Jiao Wu, Yu |
author_sort | Zou, Jianhua |
collection | PubMed |
description | INTRODUCTION: The COVID-19 pandemic has created a huge social and economic burden, and the lifestyles of individuals have significantly changed. In addition, the diagnosis, treatment and management of patients with cancer were greatly affected. Studies have shown that patients with cancer are at a higher risk of COVID-19 infection-related complications, which require aggressive preventive measures. Different types of cancer may have different risks of COVID-19 infection and death, and different preventive care measures are needed for different types of patients with cancer. Here, we designed a protocol for systematic review and meta-analysis to explore the impact of cancer types on COVID-19 infection and mortality risk. METHODS AND ANALYSIS: A systematic search plan will be performed to filter the eligible studies in the seven databases, namely PubMed, Cochrane search strategy, EMBASE search strategy, SinoMed, China National Knowledge Infrastructure, China Science and Technology Journals Database, and Wanfang database from 2019 to 10 August 2021. Two independent reviewers will choose the eligible studies and extract the data. The risk of bias will be evaluated based on the Newcastle-Ottawa Scale recommended by the Cochrane Collaboration. Finally, a systematic review and meta-analysis will be performed using Review Manager (V.5.3) statistical software. ETHICS AND DISSEMINATION: Formal ethical approval is not required, and the findings will be published in a peer-reviewed journal. PROSPERO REGISTRATION NUMBER: CRD42021271108. |
format | Online Article Text |
id | pubmed-9271838 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | BMJ Publishing Group |
record_format | MEDLINE/PubMed |
spelling | pubmed-92718382022-07-14 Impact of cancer types on COVID-19 infection and mortality risk: a protocol for systematic review and meta-analysis Zou, Jianhua Xiao, Zhanshuo Yang, Jingyan Li, Liusheng Hao, Tengteng Cui, Ning Wu, Jiao Wu, Yu BMJ Open Oncology INTRODUCTION: The COVID-19 pandemic has created a huge social and economic burden, and the lifestyles of individuals have significantly changed. In addition, the diagnosis, treatment and management of patients with cancer were greatly affected. Studies have shown that patients with cancer are at a higher risk of COVID-19 infection-related complications, which require aggressive preventive measures. Different types of cancer may have different risks of COVID-19 infection and death, and different preventive care measures are needed for different types of patients with cancer. Here, we designed a protocol for systematic review and meta-analysis to explore the impact of cancer types on COVID-19 infection and mortality risk. METHODS AND ANALYSIS: A systematic search plan will be performed to filter the eligible studies in the seven databases, namely PubMed, Cochrane search strategy, EMBASE search strategy, SinoMed, China National Knowledge Infrastructure, China Science and Technology Journals Database, and Wanfang database from 2019 to 10 August 2021. Two independent reviewers will choose the eligible studies and extract the data. The risk of bias will be evaluated based on the Newcastle-Ottawa Scale recommended by the Cochrane Collaboration. Finally, a systematic review and meta-analysis will be performed using Review Manager (V.5.3) statistical software. ETHICS AND DISSEMINATION: Formal ethical approval is not required, and the findings will be published in a peer-reviewed journal. PROSPERO REGISTRATION NUMBER: CRD42021271108. BMJ Publishing Group 2022-07-08 /pmc/articles/PMC9271838/ /pubmed/35803638 http://dx.doi.org/10.1136/bmjopen-2021-058078 Text en © Author(s) (or their employer(s)) 2022. Re-use permitted under CC BY-NC. No commercial re-use. See rights and permissions. Published by BMJ. https://creativecommons.org/licenses/by-nc/4.0/This is an open access article distributed in accordance with the Creative Commons Attribution Non Commercial (CC BY-NC 4.0) license, which permits others to distribute, remix, adapt, build upon this work non-commercially, and license their derivative works on different terms, provided the original work is properly cited, appropriate credit is given, any changes made indicated, and the use is non-commercial. See: http://creativecommons.org/licenses/by-nc/4.0/ (https://creativecommons.org/licenses/by-nc/4.0/) . |
spellingShingle | Oncology Zou, Jianhua Xiao, Zhanshuo Yang, Jingyan Li, Liusheng Hao, Tengteng Cui, Ning Wu, Jiao Wu, Yu Impact of cancer types on COVID-19 infection and mortality risk: a protocol for systematic review and meta-analysis |
title | Impact of cancer types on COVID-19 infection and mortality risk: a protocol for systematic review and meta-analysis |
title_full | Impact of cancer types on COVID-19 infection and mortality risk: a protocol for systematic review and meta-analysis |
title_fullStr | Impact of cancer types on COVID-19 infection and mortality risk: a protocol for systematic review and meta-analysis |
title_full_unstemmed | Impact of cancer types on COVID-19 infection and mortality risk: a protocol for systematic review and meta-analysis |
title_short | Impact of cancer types on COVID-19 infection and mortality risk: a protocol for systematic review and meta-analysis |
title_sort | impact of cancer types on covid-19 infection and mortality risk: a protocol for systematic review and meta-analysis |
topic | Oncology |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9271838/ https://www.ncbi.nlm.nih.gov/pubmed/35803638 http://dx.doi.org/10.1136/bmjopen-2021-058078 |
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