Cargando…

Risk of incident diabetes after COVID-19 infection: A systematic review and meta-analysis()

BACKGROUND: COVID-19 might be a risk factor for various chronic diseases. However, the association between COVID-19 and the risk of incident diabetes remains unclear. We aimed to meta-analyze evidence on the relative risk of incident diabetes in patients with COVID-19. METHODS: In this systematic re...

Descripción completa

Detalles Bibliográficos
Autores principales: Lai, Honghao, Yang, Manli, Sun, Mingyao, Pan, Bei, Wang, Quan, Wang, Jing, Tian, Jinhui, Ding, Guowu, Yang, Kehu, Song, Xuping, Ge, Long
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier Inc. 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9546784/
https://www.ncbi.nlm.nih.gov/pubmed/36220361
http://dx.doi.org/10.1016/j.metabol.2022.155330
_version_ 1784805120927596544
author Lai, Honghao
Yang, Manli
Sun, Mingyao
Pan, Bei
Wang, Quan
Wang, Jing
Tian, Jinhui
Ding, Guowu
Yang, Kehu
Song, Xuping
Ge, Long
author_facet Lai, Honghao
Yang, Manli
Sun, Mingyao
Pan, Bei
Wang, Quan
Wang, Jing
Tian, Jinhui
Ding, Guowu
Yang, Kehu
Song, Xuping
Ge, Long
author_sort Lai, Honghao
collection PubMed
description BACKGROUND: COVID-19 might be a risk factor for various chronic diseases. However, the association between COVID-19 and the risk of incident diabetes remains unclear. We aimed to meta-analyze evidence on the relative risk of incident diabetes in patients with COVID-19. METHODS: In this systematic review and meta-analysis, the Embase, PubMed, CENTRAL, and Web of Science databases were searched from December 2019 to June 8, 2022. We included cohort studies that provided data on the number, proportion, or relative risk of diabetes after confirming the COVID-19 diagnosis. Two reviewers independently screened studies for eligibility, extracted data, and assessed risk of bias. We used a random-effects meta-analysis to pool the relative risk with corresponding 95 % confidence intervals. Prespecified subgroup and meta-regression analyses were conducted to explore the potential influencing factors. We converted the relative risk to the absolute risk difference to present the evidence. This study was registered in advance (PROSPERO CRD42022337841). MAIN FINDINGS: Ten articles involving 11 retrospective cohorts with a total of 47.1 million participants proved eligible. We found a 64 % greater risk (RR = 1.64, 95%CI: 1.51 to 1.79) of diabetes in patients with COVID-19 compared with non-COVID-19 controls, which could increase the number of diabetes events by 701 (558 more to 865 more) per 10,000 persons. We detected significant subgroup effects for type of diabetes and sex. Type 2 diabetes has a higher relative risk than type 1. Moreover, men may be at a higher risk of overall diabetes than women. Sensitivity analysis confirmed the robustness of the results. No evidence was found for publication bias. CONCLUSIONS: COVID-19 is strongly associated with the risk of incident diabetes, including both type 1 and type 2 diabetes. We should be aware of the risk of developing diabetes after COVID-19 and prepare for the associated health problems, given the large and growing number of people infected with COVID-19. However, the body of evidence still needs to be strengthened.
format Online
Article
Text
id pubmed-9546784
institution National Center for Biotechnology Information
language English
publishDate 2022
publisher Elsevier Inc.
record_format MEDLINE/PubMed
spelling pubmed-95467842022-10-11 Risk of incident diabetes after COVID-19 infection: A systematic review and meta-analysis() Lai, Honghao Yang, Manli Sun, Mingyao Pan, Bei Wang, Quan Wang, Jing Tian, Jinhui Ding, Guowu Yang, Kehu Song, Xuping Ge, Long Metabolism Article BACKGROUND: COVID-19 might be a risk factor for various chronic diseases. However, the association between COVID-19 and the risk of incident diabetes remains unclear. We aimed to meta-analyze evidence on the relative risk of incident diabetes in patients with COVID-19. METHODS: In this systematic review and meta-analysis, the Embase, PubMed, CENTRAL, and Web of Science databases were searched from December 2019 to June 8, 2022. We included cohort studies that provided data on the number, proportion, or relative risk of diabetes after confirming the COVID-19 diagnosis. Two reviewers independently screened studies for eligibility, extracted data, and assessed risk of bias. We used a random-effects meta-analysis to pool the relative risk with corresponding 95 % confidence intervals. Prespecified subgroup and meta-regression analyses were conducted to explore the potential influencing factors. We converted the relative risk to the absolute risk difference to present the evidence. This study was registered in advance (PROSPERO CRD42022337841). MAIN FINDINGS: Ten articles involving 11 retrospective cohorts with a total of 47.1 million participants proved eligible. We found a 64 % greater risk (RR = 1.64, 95%CI: 1.51 to 1.79) of diabetes in patients with COVID-19 compared with non-COVID-19 controls, which could increase the number of diabetes events by 701 (558 more to 865 more) per 10,000 persons. We detected significant subgroup effects for type of diabetes and sex. Type 2 diabetes has a higher relative risk than type 1. Moreover, men may be at a higher risk of overall diabetes than women. Sensitivity analysis confirmed the robustness of the results. No evidence was found for publication bias. CONCLUSIONS: COVID-19 is strongly associated with the risk of incident diabetes, including both type 1 and type 2 diabetes. We should be aware of the risk of developing diabetes after COVID-19 and prepare for the associated health problems, given the large and growing number of people infected with COVID-19. However, the body of evidence still needs to be strengthened. Elsevier Inc. 2022-12 2022-10-08 /pmc/articles/PMC9546784/ /pubmed/36220361 http://dx.doi.org/10.1016/j.metabol.2022.155330 Text en © 2022 Elsevier Inc. 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
Lai, Honghao
Yang, Manli
Sun, Mingyao
Pan, Bei
Wang, Quan
Wang, Jing
Tian, Jinhui
Ding, Guowu
Yang, Kehu
Song, Xuping
Ge, Long
Risk of incident diabetes after COVID-19 infection: A systematic review and meta-analysis()
title Risk of incident diabetes after COVID-19 infection: A systematic review and meta-analysis()
title_full Risk of incident diabetes after COVID-19 infection: A systematic review and meta-analysis()
title_fullStr Risk of incident diabetes after COVID-19 infection: A systematic review and meta-analysis()
title_full_unstemmed Risk of incident diabetes after COVID-19 infection: A systematic review and meta-analysis()
title_short Risk of incident diabetes after COVID-19 infection: A systematic review and meta-analysis()
title_sort risk of incident diabetes after covid-19 infection: a systematic review and meta-analysis()
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9546784/
https://www.ncbi.nlm.nih.gov/pubmed/36220361
http://dx.doi.org/10.1016/j.metabol.2022.155330
work_keys_str_mv AT laihonghao riskofincidentdiabetesaftercovid19infectionasystematicreviewandmetaanalysis
AT yangmanli riskofincidentdiabetesaftercovid19infectionasystematicreviewandmetaanalysis
AT sunmingyao riskofincidentdiabetesaftercovid19infectionasystematicreviewandmetaanalysis
AT panbei riskofincidentdiabetesaftercovid19infectionasystematicreviewandmetaanalysis
AT wangquan riskofincidentdiabetesaftercovid19infectionasystematicreviewandmetaanalysis
AT wangjing riskofincidentdiabetesaftercovid19infectionasystematicreviewandmetaanalysis
AT tianjinhui riskofincidentdiabetesaftercovid19infectionasystematicreviewandmetaanalysis
AT dingguowu riskofincidentdiabetesaftercovid19infectionasystematicreviewandmetaanalysis
AT yangkehu riskofincidentdiabetesaftercovid19infectionasystematicreviewandmetaanalysis
AT songxuping riskofincidentdiabetesaftercovid19infectionasystematicreviewandmetaanalysis
AT gelong riskofincidentdiabetesaftercovid19infectionasystematicreviewandmetaanalysis