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Comorbid diabetes and the risk of disease severity or death among 8807 COVID-19 patients in China: A meta-analysis

AIMS: Diabetes mellitus has been reported to be one of the most prevalent comorbidity in patients with Coronavirus Disease 2019 (COVID-19). We aimed to assess the association of comorbid diabetes with COVID-19 severity or mortality in China. METHODS: We performed a systematic literature search from...

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Autores principales: Guo, Li, Shi, Zumin, Zhang, Ya, Wang, Cuicui, Do Vale Moreira, Nayla Cristina, Zuo, Hui, Hussain, Akhtar
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier B.V. 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7375287/
https://www.ncbi.nlm.nih.gov/pubmed/32710998
http://dx.doi.org/10.1016/j.diabres.2020.108346
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author Guo, Li
Shi, Zumin
Zhang, Ya
Wang, Cuicui
Do Vale Moreira, Nayla Cristina
Zuo, Hui
Hussain, Akhtar
author_facet Guo, Li
Shi, Zumin
Zhang, Ya
Wang, Cuicui
Do Vale Moreira, Nayla Cristina
Zuo, Hui
Hussain, Akhtar
author_sort Guo, Li
collection PubMed
description AIMS: Diabetes mellitus has been reported to be one of the most prevalent comorbidity in patients with Coronavirus Disease 2019 (COVID-19). We aimed to assess the association of comorbid diabetes with COVID-19 severity or mortality in China. METHODS: We performed a systematic literature search from six electronic databases on diabetes and COVID-19. The outcome of interest was disease severity or mortality. Heterogeneity among the studies was assessed by the Cochran Q test and the I(2) statistic. A random effects model was applied to calculate the pooled risk ratio (RR) with 95% confidence interval (CI). RESULTS: Nine studies from different provinces/cities were identified according to the predefined inclusion and exclusion criteria. There were a total of 1070 patients with diabetes, out of the 8807 COVID-19 cases. The majority of the cases were derived from Hubei Province. A low degree of heterogeneity in the risk estimates was observed in the included studies. Meta-analysis showed that there was a significant association of preexisting diabetes with disease severity or death. The pooled RR was 2.96 (95% CI: 2.31–3.79; p < 0.001). Sensitivity analysis demonstrated no significant changes in the pooled estimates. CONCLUSIONS: Comorbid diabetes was associated with an increased risk of disease severity or death in Chinese COVID-19 patients.
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spelling pubmed-73752872020-07-23 Comorbid diabetes and the risk of disease severity or death among 8807 COVID-19 patients in China: A meta-analysis Guo, Li Shi, Zumin Zhang, Ya Wang, Cuicui Do Vale Moreira, Nayla Cristina Zuo, Hui Hussain, Akhtar Diabetes Res Clin Pract Article AIMS: Diabetes mellitus has been reported to be one of the most prevalent comorbidity in patients with Coronavirus Disease 2019 (COVID-19). We aimed to assess the association of comorbid diabetes with COVID-19 severity or mortality in China. METHODS: We performed a systematic literature search from six electronic databases on diabetes and COVID-19. The outcome of interest was disease severity or mortality. Heterogeneity among the studies was assessed by the Cochran Q test and the I(2) statistic. A random effects model was applied to calculate the pooled risk ratio (RR) with 95% confidence interval (CI). RESULTS: Nine studies from different provinces/cities were identified according to the predefined inclusion and exclusion criteria. There were a total of 1070 patients with diabetes, out of the 8807 COVID-19 cases. The majority of the cases were derived from Hubei Province. A low degree of heterogeneity in the risk estimates was observed in the included studies. Meta-analysis showed that there was a significant association of preexisting diabetes with disease severity or death. The pooled RR was 2.96 (95% CI: 2.31–3.79; p < 0.001). Sensitivity analysis demonstrated no significant changes in the pooled estimates. CONCLUSIONS: Comorbid diabetes was associated with an increased risk of disease severity or death in Chinese COVID-19 patients. Elsevier B.V. 2020-08 2020-07-22 /pmc/articles/PMC7375287/ /pubmed/32710998 http://dx.doi.org/10.1016/j.diabres.2020.108346 Text en © 2020 Elsevier B.V. All rights reserved. Since January 2020 Elsevier has created a COVID-19 resource centre with free information in English and Mandarin on the novel coronavirus COVID-19. The COVID-19 resource centre is hosted on Elsevier Connect, the company's public news and information website. Elsevier hereby grants permission to make all its COVID-19-related research that is available on the COVID-19 resource centre - including this research content - immediately available in PubMed Central and other publicly funded repositories, such as the WHO COVID database with rights for unrestricted research re-use and analyses in any form or by any means with acknowledgement of the original source. These permissions are granted for free by Elsevier for as long as the COVID-19 resource centre remains active.
spellingShingle Article
Guo, Li
Shi, Zumin
Zhang, Ya
Wang, Cuicui
Do Vale Moreira, Nayla Cristina
Zuo, Hui
Hussain, Akhtar
Comorbid diabetes and the risk of disease severity or death among 8807 COVID-19 patients in China: A meta-analysis
title Comorbid diabetes and the risk of disease severity or death among 8807 COVID-19 patients in China: A meta-analysis
title_full Comorbid diabetes and the risk of disease severity or death among 8807 COVID-19 patients in China: A meta-analysis
title_fullStr Comorbid diabetes and the risk of disease severity or death among 8807 COVID-19 patients in China: A meta-analysis
title_full_unstemmed Comorbid diabetes and the risk of disease severity or death among 8807 COVID-19 patients in China: A meta-analysis
title_short Comorbid diabetes and the risk of disease severity or death among 8807 COVID-19 patients in China: A meta-analysis
title_sort comorbid diabetes and the risk of disease severity or death among 8807 covid-19 patients in china: a meta-analysis
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7375287/
https://www.ncbi.nlm.nih.gov/pubmed/32710998
http://dx.doi.org/10.1016/j.diabres.2020.108346
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