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Diabetes, obesity, hypertension and risk of severe COVID-19: a protocol for systematic review and meta-analysis
INTRODUCTION: Previous evidence from several countries, including China, Italy, Mexico, UK and the USA, indicates that among patients with confirmed COVID-19 who were hospitalised, diabetes, obesity and hypertension might be important risk factors for severe clinical outcomes. Several preliminary sy...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BMJ Publishing Group
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8628113/ https://www.ncbi.nlm.nih.gov/pubmed/34836901 http://dx.doi.org/10.1136/bmjopen-2021-051711 |
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author | Li, Chaoyang Islam, Nazrul Gutierrez, Juan Pablo Lacey, Ben Moolenaar, Ronald L Richter, Patricia |
author_facet | Li, Chaoyang Islam, Nazrul Gutierrez, Juan Pablo Lacey, Ben Moolenaar, Ronald L Richter, Patricia |
author_sort | Li, Chaoyang |
collection | PubMed |
description | INTRODUCTION: Previous evidence from several countries, including China, Italy, Mexico, UK and the USA, indicates that among patients with confirmed COVID-19 who were hospitalised, diabetes, obesity and hypertension might be important risk factors for severe clinical outcomes. Several preliminary systematic reviews and meta-analyses have been conducted on one or more of these non-communicable diseases, but the findings have not been definitive, and recent evidence has become available from many more populations. Thus, we aim to conduct a systematic review and meta-analysis of observational studies to assess the relationship of diabetes, obesity and hypertension with severe clinical outcomes in patients with COVID-19. METHOD AND ANALYSIS: We will search 16 major databases (MEDLINE, Embase, Global Health, CAB Abstracts, PsycINFO, CINAHL, Academic Research Complete, Africa Wide Information, Scopus, PubMed Central, ProQuest Central, WHO Virtual Health Library, Homeland Security COVID-19 collection, SciFinder, Clinical Trials and Cochrane Library) for articles published between December 2019 and December 2020. We will follow the Preferred Reporting Items for Systematic Review and Meta-Analysis Protocols 2016 guidelines for the design and reporting the results. We will include observational studies that assess the associations of pre-existing diabetes, obesity and hypertension in patients with COVID-19 with risk of severe clinical outcomes such as intensive care unit admission, receiving mechanical ventilation or death. Stata V.16.1 and R-Studio V.1.4.1103 statistical software will be used for statistical analysis. Meta-analysis will be used to estimate the pooled risks and to assess potential heterogeneities in risks. ETHICS AND DISSEMINATION: The study was reviewed for human subjects concerns by the US CDC Center for Global Health and determined to not represent human subjects research because it uses data from published studies. We plan to publish results in a peer-reviewed journal and present at national and international conferences. PROSPERO REGISTRATION NUMBER: CRD42021204371. |
format | Online Article Text |
id | pubmed-8628113 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | BMJ Publishing Group |
record_format | MEDLINE/PubMed |
spelling | pubmed-86281132021-12-01 Diabetes, obesity, hypertension and risk of severe COVID-19: a protocol for systematic review and meta-analysis Li, Chaoyang Islam, Nazrul Gutierrez, Juan Pablo Lacey, Ben Moolenaar, Ronald L Richter, Patricia BMJ Open Diabetes and Endocrinology INTRODUCTION: Previous evidence from several countries, including China, Italy, Mexico, UK and the USA, indicates that among patients with confirmed COVID-19 who were hospitalised, diabetes, obesity and hypertension might be important risk factors for severe clinical outcomes. Several preliminary systematic reviews and meta-analyses have been conducted on one or more of these non-communicable diseases, but the findings have not been definitive, and recent evidence has become available from many more populations. Thus, we aim to conduct a systematic review and meta-analysis of observational studies to assess the relationship of diabetes, obesity and hypertension with severe clinical outcomes in patients with COVID-19. METHOD AND ANALYSIS: We will search 16 major databases (MEDLINE, Embase, Global Health, CAB Abstracts, PsycINFO, CINAHL, Academic Research Complete, Africa Wide Information, Scopus, PubMed Central, ProQuest Central, WHO Virtual Health Library, Homeland Security COVID-19 collection, SciFinder, Clinical Trials and Cochrane Library) for articles published between December 2019 and December 2020. We will follow the Preferred Reporting Items for Systematic Review and Meta-Analysis Protocols 2016 guidelines for the design and reporting the results. We will include observational studies that assess the associations of pre-existing diabetes, obesity and hypertension in patients with COVID-19 with risk of severe clinical outcomes such as intensive care unit admission, receiving mechanical ventilation or death. Stata V.16.1 and R-Studio V.1.4.1103 statistical software will be used for statistical analysis. Meta-analysis will be used to estimate the pooled risks and to assess potential heterogeneities in risks. ETHICS AND DISSEMINATION: The study was reviewed for human subjects concerns by the US CDC Center for Global Health and determined to not represent human subjects research because it uses data from published studies. We plan to publish results in a peer-reviewed journal and present at national and international conferences. PROSPERO REGISTRATION NUMBER: CRD42021204371. BMJ Publishing Group 2021-11-26 /pmc/articles/PMC8628113/ /pubmed/34836901 http://dx.doi.org/10.1136/bmjopen-2021-051711 Text en © Author(s) (or their employer(s)) 2021. 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 | Diabetes and Endocrinology Li, Chaoyang Islam, Nazrul Gutierrez, Juan Pablo Lacey, Ben Moolenaar, Ronald L Richter, Patricia Diabetes, obesity, hypertension and risk of severe COVID-19: a protocol for systematic review and meta-analysis |
title | Diabetes, obesity, hypertension and risk of severe COVID-19: a protocol for systematic review and meta-analysis |
title_full | Diabetes, obesity, hypertension and risk of severe COVID-19: a protocol for systematic review and meta-analysis |
title_fullStr | Diabetes, obesity, hypertension and risk of severe COVID-19: a protocol for systematic review and meta-analysis |
title_full_unstemmed | Diabetes, obesity, hypertension and risk of severe COVID-19: a protocol for systematic review and meta-analysis |
title_short | Diabetes, obesity, hypertension and risk of severe COVID-19: a protocol for systematic review and meta-analysis |
title_sort | diabetes, obesity, hypertension and risk of severe covid-19: a protocol for systematic review and meta-analysis |
topic | Diabetes and Endocrinology |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8628113/ https://www.ncbi.nlm.nih.gov/pubmed/34836901 http://dx.doi.org/10.1136/bmjopen-2021-051711 |
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