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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.
  • Li C; Division of Global Health Protection, Center for Global Health, Centers for Disease Control and Prevention, Atlanta, Georgia, USA cli@cdc.gov.
  • Islam N; Clinical Trial Service Unit and Epidemiological Studies Unit (CTSU), Nuffield Department of Population Health, University of Oxford, Oxford, UK.
  • Gutierrez JP; Center for Policy, Population and Health Research, School of Medicine, National Autonomous University of Mexico, CDMX, Mexico.
  • Lacey B; Clinical Trial Service Unit and Epidemiological Studies Unit (CTSU), Nuffield Department of Population Health, University of Oxford, Oxford, UK.
  • Moolenaar RL; Division of Global Health Protection, Center for Global Health, Centers for Disease Control and Prevention, Atlanta, Georgia, USA.
  • Richter P; Division of Global Health Protection, Center for Global Health, Centers for Disease Control and Prevention, Atlanta, Georgia, USA.
BMJ Open ; 11(11): e051711, 2021 11 26.
Article in English | MEDLINE | ID: covidwho-1537953
ABSTRACT

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.
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Full text: Available Collection: International databases Database: MEDLINE Main subject: Diabetes Mellitus / COVID-19 / Hypertension Type of study: Experimental Studies / Observational study / Prognostic study / Randomized controlled trials / Reviews / Systematic review/Meta Analysis Topics: Long Covid Limits: Humans Language: English Journal: BMJ Open Year: 2021 Document Type: Article Affiliation country: Bmjopen-2021-051711

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Full text: Available Collection: International databases Database: MEDLINE Main subject: Diabetes Mellitus / COVID-19 / Hypertension Type of study: Experimental Studies / Observational study / Prognostic study / Randomized controlled trials / Reviews / Systematic review/Meta Analysis Topics: Long Covid Limits: Humans Language: English Journal: BMJ Open Year: 2021 Document Type: Article Affiliation country: Bmjopen-2021-051711