{"title":"New-onset diabetes mellitus post COVID-19 infection: a systematic review and meta-analysis","authors":"Emma Cocking , Joseph Daher , Majid Alabbood","doi":"10.1016/j.diabres.2025.112417","DOIUrl":null,"url":null,"abstract":"<div><h3>Aims</h3><div>This systematic review and <em>meta</em>-analysis aimed to determine the relative risk of new-onset diabetes mellitus (NODM) in COVID-19 patients compared to individuals without COVID-19, with subgroup analyses based on diabetes type, age, severity of COVID-19 infection and corticosteroid use.</div></div><div><h3>Methods</h3><div>PubMed, Medline, Embase, and Scopus were systematically searched for peer-reviewed cohort studies comparing NODM incidence in COVID-19 patients against a control group without COVID-19. A random-effects <em>meta</em>-analysis was conducted to determine the relative risk of NODM following COVID-19 infection.</div></div><div><h3>Results</h3><div>A total of 12 studies were included, involving over 48 million participants. The risk of developing NODM was 41 % higher in patients following COVID-19 infection compared to the control group (RR 1.41; 95 % CI 1.07–1.84). Subgroup analysis revealed a higher incidence of type 2 compared to type 1 diabetes mellitus post COVID-19 infection, and increased risk of NODM in adults and patients with higher severity of disease.</div></div><div><h3>Conclusion</h3><div>COVID-19 infection is associated with a significantly higher risk of NODM. Close monitoring for hyperglycaemia should be considered following COVID-19 infection, especially in adult patients requiring hospital or ICU admission.</div></div>","PeriodicalId":11249,"journal":{"name":"Diabetes research and clinical practice","volume":"227 ","pages":"Article 112417"},"PeriodicalIF":7.4000,"publicationDate":"2025-08-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Diabetes research and clinical practice","FirstCategoryId":"3","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S0168822725004310","RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"ENDOCRINOLOGY & METABOLISM","Score":null,"Total":0}
引用次数: 0
Abstract
Aims
This systematic review and meta-analysis aimed to determine the relative risk of new-onset diabetes mellitus (NODM) in COVID-19 patients compared to individuals without COVID-19, with subgroup analyses based on diabetes type, age, severity of COVID-19 infection and corticosteroid use.
Methods
PubMed, Medline, Embase, and Scopus were systematically searched for peer-reviewed cohort studies comparing NODM incidence in COVID-19 patients against a control group without COVID-19. A random-effects meta-analysis was conducted to determine the relative risk of NODM following COVID-19 infection.
Results
A total of 12 studies were included, involving over 48 million participants. The risk of developing NODM was 41 % higher in patients following COVID-19 infection compared to the control group (RR 1.41; 95 % CI 1.07–1.84). Subgroup analysis revealed a higher incidence of type 2 compared to type 1 diabetes mellitus post COVID-19 infection, and increased risk of NODM in adults and patients with higher severity of disease.
Conclusion
COVID-19 infection is associated with a significantly higher risk of NODM. Close monitoring for hyperglycaemia should be considered following COVID-19 infection, especially in adult patients requiring hospital or ICU admission.
期刊介绍:
Diabetes Research and Clinical Practice is an international journal for health-care providers and clinically oriented researchers that publishes high-quality original research articles and expert reviews in diabetes and related areas. The role of the journal is to provide a venue for dissemination of knowledge and discussion of topics related to diabetes clinical research and patient care. Topics of focus include translational science, genetics, immunology, nutrition, psychosocial research, epidemiology, prevention, socio-economic research, complications, new treatments, technologies and therapy.