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Cancer is associated with coronavirus disease (COVID-19) severity and mortality: A pooled analysis
Coronavirus disease 2019 (COVID-19) is a rapidly escalating pandemic that has spread to many parts of the world. As such, there is urgent need to identify predictors of clinical severity in COVID-19 patients. This may be useful for early identification of patients who may require life-saving interve...
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Published in: | The American journal of emergency medicine 2021-07, Vol.45, p.179-184 |
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creator | Cheruiyot, Isaac Kipkorir, Vincent Ngure, Brian Misiani, Musa Munguti, Jeremiah |
description | Coronavirus disease 2019 (COVID-19) is a rapidly escalating pandemic that has spread to many parts of the world. As such, there is urgent need to identify predictors of clinical severity in COVID-19 patients. This may be useful for early identification of patients who may require life-saving interventions. In this meta-analysis, we evaluated whether malignancies are associated with a significantly enhanced odds of COVID-19 severity and mortality.
A systematic search of literature was conducted between November 1, 2019, to May 26th, 2020 on PubMed and China National Knowledge Infrastructure (CNKI) to identify studies reporting data on cancers in patients with or without severe COVID-19 were included. The primary outcome of interest was the association between malignancies and COVID-19 severity, while the secondary outcome was the association between malignancies and COVID-19 mortality. Data were pooled into a meta-analysis to estimate pooled odds ratio (OR) with 95% confidence interval (95% CI) for either outcome.
A total of 20 studies (n = 4549 patients) were included. Overall, malignancies were found to be associated with significantly increased odds of COVID-19 severity (OR = 2.17; 95% CI 1.47–3.196; p |
doi_str_mv | 10.1016/j.ajem.2020.08.025 |
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A systematic search of literature was conducted between November 1, 2019, to May 26th, 2020 on PubMed and China National Knowledge Infrastructure (CNKI) to identify studies reporting data on cancers in patients with or without severe COVID-19 were included. The primary outcome of interest was the association between malignancies and COVID-19 severity, while the secondary outcome was the association between malignancies and COVID-19 mortality. Data were pooled into a meta-analysis to estimate pooled odds ratio (OR) with 95% confidence interval (95% CI) for either outcome.
A total of 20 studies (n = 4549 patients) were included. Overall, malignancies were found to be associated with significantly increased odds of COVID-19 severity (OR = 2.17; 95% CI 1.47–3.196; p < 0.001) and mortality (OR = 2.39; 95% CI 1.18–4.85; p = 0.016). No heterogeneity was observed for both outcomes (Cochran's Q = 6.558, p = 0.922, I2 = 0% and Cochran's Q = 2.91, p = 0.71, I2 = 0% respectively).
Malignancies were significantly associated with a 2-fold increase in the odds of developing severe COVID-19 disease, as well as mortality. Larger studies are needed to corroborate these findings. These patients should be closely monitored for any signs of unfavorable disease progression.</description><identifier>ISSN: 0735-6757</identifier><identifier>EISSN: 1532-8171</identifier><identifier>DOI: 10.1016/j.ajem.2020.08.025</identifier><identifier>PMID: 33041110</identifier><language>eng</language><publisher>United States: Elsevier Inc</publisher><subject>Cancer ; Comorbidity ; Coronaviruses ; COVID-19 ; COVID-19 - epidemiology ; Emergency medical care ; Global Health ; Heterogeneity ; Humans ; Infectious diseases ; Mortality ; Neoplasms - epidemiology ; Pandemics ; Patients ; Risk Assessment - methods ; Risk Factors ; SARS-CoV-2 ; Severity ; Severity of Illness Index ; Survival Rate - trends</subject><ispartof>The American journal of emergency medicine, 2021-07, Vol.45, p.179-184</ispartof><rights>2020 Elsevier Inc.</rights><rights>Copyright © 2020 Elsevier Inc. All rights reserved.</rights><rights>2020. Elsevier Inc.</rights><rights>2020 Elsevier Inc. All rights reserved. 2020 Elsevier Inc.</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c483t-3291219e0d1f6e51c9307c9fe010122236c5319e19064da41952a4620500c4233</citedby><cites>FETCH-LOGICAL-c483t-3291219e0d1f6e51c9307c9fe010122236c5319e19064da41952a4620500c4233</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><link.rule.ids>230,314,776,780,881,27903,27904</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/33041110$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Cheruiyot, Isaac</creatorcontrib><creatorcontrib>Kipkorir, Vincent</creatorcontrib><creatorcontrib>Ngure, Brian</creatorcontrib><creatorcontrib>Misiani, Musa</creatorcontrib><creatorcontrib>Munguti, Jeremiah</creatorcontrib><title>Cancer is associated with coronavirus disease (COVID-19) severity and mortality: A pooled analysis</title><title>The American journal of emergency medicine</title><addtitle>Am J Emerg Med</addtitle><description>Coronavirus disease 2019 (COVID-19) is a rapidly escalating pandemic that has spread to many parts of the world. As such, there is urgent need to identify predictors of clinical severity in COVID-19 patients. This may be useful for early identification of patients who may require life-saving interventions. In this meta-analysis, we evaluated whether malignancies are associated with a significantly enhanced odds of COVID-19 severity and mortality.
A systematic search of literature was conducted between November 1, 2019, to May 26th, 2020 on PubMed and China National Knowledge Infrastructure (CNKI) to identify studies reporting data on cancers in patients with or without severe COVID-19 were included. The primary outcome of interest was the association between malignancies and COVID-19 severity, while the secondary outcome was the association between malignancies and COVID-19 mortality. Data were pooled into a meta-analysis to estimate pooled odds ratio (OR) with 95% confidence interval (95% CI) for either outcome.
A total of 20 studies (n = 4549 patients) were included. Overall, malignancies were found to be associated with significantly increased odds of COVID-19 severity (OR = 2.17; 95% CI 1.47–3.196; p < 0.001) and mortality (OR = 2.39; 95% CI 1.18–4.85; p = 0.016). No heterogeneity was observed for both outcomes (Cochran's Q = 6.558, p = 0.922, I2 = 0% and Cochran's Q = 2.91, p = 0.71, I2 = 0% respectively).
Malignancies were significantly associated with a 2-fold increase in the odds of developing severe COVID-19 disease, as well as mortality. Larger studies are needed to corroborate these findings. These patients should be closely monitored for any signs of unfavorable disease progression.</description><subject>Cancer</subject><subject>Comorbidity</subject><subject>Coronaviruses</subject><subject>COVID-19</subject><subject>COVID-19 - epidemiology</subject><subject>Emergency medical care</subject><subject>Global Health</subject><subject>Heterogeneity</subject><subject>Humans</subject><subject>Infectious diseases</subject><subject>Mortality</subject><subject>Neoplasms - epidemiology</subject><subject>Pandemics</subject><subject>Patients</subject><subject>Risk Assessment - methods</subject><subject>Risk Factors</subject><subject>SARS-CoV-2</subject><subject>Severity</subject><subject>Severity of Illness Index</subject><subject>Survival Rate - trends</subject><issn>0735-6757</issn><issn>1532-8171</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2021</creationdate><recordtype>article</recordtype><recordid>eNp9kU1v1DAQhi0EotvCH-CALHFpDwkz_sgHQkjV8lWpUi_A1XKdWeooiRc7WbT_Hq-2VMCBk2XNM69n_DD2AqFEwOp1X9qexlKAgBKaEoR-xFaopSgarPExW0EtdVHVuj5hpyn1AIhKq6fsREpQiAgrdru2k6PIfeI2peC8nanjP_18x12IYbI7H5fEO5_IJuLn65tvV-8LbC94oh1FP--5nTo-hjjbId_e8Eu-DWHIIXaywz759Iw92dgh0fP784x9_fjhy_pzcX3z6Wp9eV041ci5kKJFgS1Bh5uKNLpWQu3aDUFeVgghK6dlrmMLleqswlYLqyoBGsApIeUZe3fM3S63I3WOpjnawWyjH23cm2C9-bsy-TvzPexMrWQj6kPA-X1ADD8WSrMZfXI0DHaisCQjVH4KQWnM6Kt_0D4sMS-cKa2hQl1XKlPiSLkYUoq0eRgGwRwUmt4cFJqDQgONyQpz08s_13ho-e0sA2-PAOXP3HmKJjlP2WLnI7nZdMH_L_8XOFmq0A</recordid><startdate>20210701</startdate><enddate>20210701</enddate><creator>Cheruiyot, Isaac</creator><creator>Kipkorir, Vincent</creator><creator>Ngure, Brian</creator><creator>Misiani, Musa</creator><creator>Munguti, Jeremiah</creator><general>Elsevier Inc</general><general>Elsevier Limited</general><scope>CGR</scope><scope>CUY</scope><scope>CVF</scope><scope>ECM</scope><scope>EIF</scope><scope>NPM</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>3V.</scope><scope>7RV</scope><scope>7T5</scope><scope>7X7</scope><scope>7XB</scope><scope>88E</scope><scope>8FI</scope><scope>8FJ</scope><scope>8FK</scope><scope>8G5</scope><scope>ABUWG</scope><scope>AEUYN</scope><scope>AFKRA</scope><scope>AZQEC</scope><scope>BENPR</scope><scope>CCPQU</scope><scope>DWQXO</scope><scope>FYUFA</scope><scope>GHDGH</scope><scope>GNUQQ</scope><scope>GUQSH</scope><scope>H94</scope><scope>K9.</scope><scope>KB0</scope><scope>M0S</scope><scope>M1P</scope><scope>M2O</scope><scope>MBDVC</scope><scope>NAPCQ</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>Q9U</scope><scope>7X8</scope><scope>5PM</scope></search><sort><creationdate>20210701</creationdate><title>Cancer is associated with coronavirus disease (COVID-19) severity and mortality: A pooled analysis</title><author>Cheruiyot, Isaac ; Kipkorir, Vincent ; Ngure, Brian ; Misiani, Musa ; Munguti, Jeremiah</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c483t-3291219e0d1f6e51c9307c9fe010122236c5319e19064da41952a4620500c4233</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2021</creationdate><topic>Cancer</topic><topic>Comorbidity</topic><topic>Coronaviruses</topic><topic>COVID-19</topic><topic>COVID-19 - epidemiology</topic><topic>Emergency medical care</topic><topic>Global Health</topic><topic>Heterogeneity</topic><topic>Humans</topic><topic>Infectious diseases</topic><topic>Mortality</topic><topic>Neoplasms - epidemiology</topic><topic>Pandemics</topic><topic>Patients</topic><topic>Risk Assessment - methods</topic><topic>Risk Factors</topic><topic>SARS-CoV-2</topic><topic>Severity</topic><topic>Severity of Illness Index</topic><topic>Survival Rate - trends</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Cheruiyot, Isaac</creatorcontrib><creatorcontrib>Kipkorir, Vincent</creatorcontrib><creatorcontrib>Ngure, Brian</creatorcontrib><creatorcontrib>Misiani, Musa</creatorcontrib><creatorcontrib>Munguti, Jeremiah</creatorcontrib><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE (Ovid)</collection><collection>MEDLINE</collection><collection>MEDLINE</collection><collection>PubMed</collection><collection>CrossRef</collection><collection>ProQuest Central (Corporate)</collection><collection>Nursing & Allied Health Database</collection><collection>Immunology Abstracts</collection><collection>Health & Medical Collection</collection><collection>ProQuest Central (purchase pre-March 2016)</collection><collection>Medical Database (Alumni Edition)</collection><collection>Hospital Premium Collection</collection><collection>Hospital Premium Collection (Alumni Edition)</collection><collection>ProQuest Central (Alumni) (purchase pre-March 2016)</collection><collection>Research Library (Alumni Edition)</collection><collection>ProQuest Central (Alumni)</collection><collection>ProQuest One Sustainability</collection><collection>ProQuest Central</collection><collection>ProQuest Central Essentials</collection><collection>AUTh Library subscriptions: ProQuest Central</collection><collection>ProQuest One Community College</collection><collection>ProQuest Central</collection><collection>Health Research Premium Collection</collection><collection>Health Research Premium Collection (Alumni)</collection><collection>ProQuest Central Student</collection><collection>Research Library Prep</collection><collection>AIDS and Cancer Research Abstracts</collection><collection>ProQuest Health & Medical Complete (Alumni)</collection><collection>Nursing & Allied Health Database (Alumni Edition)</collection><collection>Health & Medical Collection (Alumni Edition)</collection><collection>Medical Database</collection><collection>ProQuest research library</collection><collection>Research Library (Corporate)</collection><collection>Nursing & Allied Health Premium</collection><collection>ProQuest One Academic Eastern Edition (DO NOT USE)</collection><collection>ProQuest One Academic</collection><collection>ProQuest One Academic UKI Edition</collection><collection>ProQuest Central Basic</collection><collection>MEDLINE - Academic</collection><collection>PubMed Central (Full Participant titles)</collection><jtitle>The American journal of emergency medicine</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Cheruiyot, Isaac</au><au>Kipkorir, Vincent</au><au>Ngure, Brian</au><au>Misiani, Musa</au><au>Munguti, Jeremiah</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Cancer is associated with coronavirus disease (COVID-19) severity and mortality: A pooled analysis</atitle><jtitle>The American journal of emergency medicine</jtitle><addtitle>Am J Emerg Med</addtitle><date>2021-07-01</date><risdate>2021</risdate><volume>45</volume><spage>179</spage><epage>184</epage><pages>179-184</pages><issn>0735-6757</issn><eissn>1532-8171</eissn><abstract>Coronavirus disease 2019 (COVID-19) is a rapidly escalating pandemic that has spread to many parts of the world. As such, there is urgent need to identify predictors of clinical severity in COVID-19 patients. This may be useful for early identification of patients who may require life-saving interventions. In this meta-analysis, we evaluated whether malignancies are associated with a significantly enhanced odds of COVID-19 severity and mortality.
A systematic search of literature was conducted between November 1, 2019, to May 26th, 2020 on PubMed and China National Knowledge Infrastructure (CNKI) to identify studies reporting data on cancers in patients with or without severe COVID-19 were included. The primary outcome of interest was the association between malignancies and COVID-19 severity, while the secondary outcome was the association between malignancies and COVID-19 mortality. Data were pooled into a meta-analysis to estimate pooled odds ratio (OR) with 95% confidence interval (95% CI) for either outcome.
A total of 20 studies (n = 4549 patients) were included. Overall, malignancies were found to be associated with significantly increased odds of COVID-19 severity (OR = 2.17; 95% CI 1.47–3.196; p < 0.001) and mortality (OR = 2.39; 95% CI 1.18–4.85; p = 0.016). No heterogeneity was observed for both outcomes (Cochran's Q = 6.558, p = 0.922, I2 = 0% and Cochran's Q = 2.91, p = 0.71, I2 = 0% respectively).
Malignancies were significantly associated with a 2-fold increase in the odds of developing severe COVID-19 disease, as well as mortality. Larger studies are needed to corroborate these findings. These patients should be closely monitored for any signs of unfavorable disease progression.</abstract><cop>United States</cop><pub>Elsevier Inc</pub><pmid>33041110</pmid><doi>10.1016/j.ajem.2020.08.025</doi><tpages>6</tpages><oa>free_for_read</oa></addata></record> |
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subjects | Cancer Comorbidity Coronaviruses COVID-19 COVID-19 - epidemiology Emergency medical care Global Health Heterogeneity Humans Infectious diseases Mortality Neoplasms - epidemiology Pandemics Patients Risk Assessment - methods Risk Factors SARS-CoV-2 Severity Severity of Illness Index Survival Rate - trends |
title | Cancer is associated with coronavirus disease (COVID-19) severity and mortality: A pooled analysis |
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