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Impact of cancer on mortality and severity of corona virus disease 2019: A protocol for systematic review and meta-analysis

BACKGROUND: Cancer patients are in a state of systemic immunosuppression and are considered a highly vulnerable population in the Corona Virus Disease 2019 (COVID-19) epidemic. However, the relationship between cancer and the severity and mortality of patients with COVID-19 remains unclear. This stu...

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Autores principales: Zhang, Yi, Han, Hao, Tian, Yunling, Dong, Jing, Yu, Yage, Kang, Yingying, Xing, Lina, Lian, Rongna, Zhang, Ruinian, Xie, Dairong
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Lippincott Williams & Wilkins 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7598814/
https://www.ncbi.nlm.nih.gov/pubmed/33126383
http://dx.doi.org/10.1097/MD.0000000000023005
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author Zhang, Yi
Han, Hao
Tian, Yunling
Dong, Jing
Yu, Yage
Kang, Yingying
Xing, Lina
Lian, Rongna
Zhang, Ruinian
Xie, Dairong
author_facet Zhang, Yi
Han, Hao
Tian, Yunling
Dong, Jing
Yu, Yage
Kang, Yingying
Xing, Lina
Lian, Rongna
Zhang, Ruinian
Xie, Dairong
author_sort Zhang, Yi
collection PubMed
description BACKGROUND: Cancer patients are in a state of systemic immunosuppression and are considered a highly vulnerable population in the Corona Virus Disease 2019 (COVID-19) epidemic. However, the relationship between cancer and the severity and mortality of patients with COVID-19 remains unclear. This study aims to evaluate whether cancer patients with COVID-19 may be at an increased risk of severe illness and mortality. METHODS: We will perform comprehensive searches in PubMed, EMBASE.com, Web of Science, and the Cochrane Central Register of Controlled Trials to identify studies providing prevalence of cancer between patients with severe and non-severe illness or between non-survivors and survivors. We will use the Newcastle-Ottawa quality assessment scale to assess the quality of included studies. We will conduct pairwise meta-analyses to compute the odds ratio and 95% confidence interval using the Mantel Haenszel method with the random-effects model. The statistical heterogeneity will be assessed using the I(2) statistic. Subgroup analyses, sensitivity analyses, and meta-regression analyses will be performed to explore the sources of heterogeneity. RESULTS: The results of this study will be published in a peer-reviewed journal. CONCLUSION: Our meta-analysis will systematically evaluate the association between cancer and the severity and mortality of patients with COVID-19. This study will provide evidence to help determine whether cancer patients should be provided with special precautions and advised to use stronger personal protection. INPLASY REGISTRATION NUMBER: INPLASY202090093.
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spelling pubmed-75988142020-11-02 Impact of cancer on mortality and severity of corona virus disease 2019: A protocol for systematic review and meta-analysis Zhang, Yi Han, Hao Tian, Yunling Dong, Jing Yu, Yage Kang, Yingying Xing, Lina Lian, Rongna Zhang, Ruinian Xie, Dairong Medicine (Baltimore) 5700 BACKGROUND: Cancer patients are in a state of systemic immunosuppression and are considered a highly vulnerable population in the Corona Virus Disease 2019 (COVID-19) epidemic. However, the relationship between cancer and the severity and mortality of patients with COVID-19 remains unclear. This study aims to evaluate whether cancer patients with COVID-19 may be at an increased risk of severe illness and mortality. METHODS: We will perform comprehensive searches in PubMed, EMBASE.com, Web of Science, and the Cochrane Central Register of Controlled Trials to identify studies providing prevalence of cancer between patients with severe and non-severe illness or between non-survivors and survivors. We will use the Newcastle-Ottawa quality assessment scale to assess the quality of included studies. We will conduct pairwise meta-analyses to compute the odds ratio and 95% confidence interval using the Mantel Haenszel method with the random-effects model. The statistical heterogeneity will be assessed using the I(2) statistic. Subgroup analyses, sensitivity analyses, and meta-regression analyses will be performed to explore the sources of heterogeneity. RESULTS: The results of this study will be published in a peer-reviewed journal. CONCLUSION: Our meta-analysis will systematically evaluate the association between cancer and the severity and mortality of patients with COVID-19. This study will provide evidence to help determine whether cancer patients should be provided with special precautions and advised to use stronger personal protection. INPLASY REGISTRATION NUMBER: INPLASY202090093. Lippincott Williams & Wilkins 2020-10-30 /pmc/articles/PMC7598814/ /pubmed/33126383 http://dx.doi.org/10.1097/MD.0000000000023005 Text en Copyright © 2020 the Author(s). Published by Wolters Kluwer Health, Inc. http://creativecommons.org/licenses/by/4.0 This is an open access article distributed under the Creative Commons Attribution License 4.0 (CCBY), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. http://creativecommons.org/licenses/by/4.0
spellingShingle 5700
Zhang, Yi
Han, Hao
Tian, Yunling
Dong, Jing
Yu, Yage
Kang, Yingying
Xing, Lina
Lian, Rongna
Zhang, Ruinian
Xie, Dairong
Impact of cancer on mortality and severity of corona virus disease 2019: A protocol for systematic review and meta-analysis
title Impact of cancer on mortality and severity of corona virus disease 2019: A protocol for systematic review and meta-analysis
title_full Impact of cancer on mortality and severity of corona virus disease 2019: A protocol for systematic review and meta-analysis
title_fullStr Impact of cancer on mortality and severity of corona virus disease 2019: A protocol for systematic review and meta-analysis
title_full_unstemmed Impact of cancer on mortality and severity of corona virus disease 2019: A protocol for systematic review and meta-analysis
title_short Impact of cancer on mortality and severity of corona virus disease 2019: A protocol for systematic review and meta-analysis
title_sort impact of cancer on mortality and severity of corona virus disease 2019: a protocol for systematic review and meta-analysis
topic 5700
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7598814/
https://www.ncbi.nlm.nih.gov/pubmed/33126383
http://dx.doi.org/10.1097/MD.0000000000023005
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