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Cited by 893

The DOI matches its Crossref record; 77 of the 77 references it cites were found in a registry or an index.

Diabetes in COVID-19: Prevalence, pathophysiology, prognosis and practical considerations

Open access
Singh, Awadhesh Kumar, Gupta, Ritesh, Ghosh, Amerta, Misra, Anoop·2020·Diabetes & Metabolic Syndrome: Clinical Research & Reviews

Abstract

Background and aims High prevalence of diabetes makes it an important comorbidity in patients with COVID-19. We sought to review and analyze the data regarding the association between diabetes and COVID-19, pathophysiology of the disease in diabetes and management of patients with diabetes who develop COVID-19 infection. Methods PubMed database and Google Scholar were searched using the key terms ‘COVID-19’, ‘SARS-CoV-2’, ‘diabetes’, ‘antidiabetic therapy’ up to April 2, 2020. Full texts of the retrieved articles were accessed. Results There is evidence of increased incidence and severity of COVID-19 in patients with diabetes. COVID-19 could have effect on the pathophysiology of diabetes. Blood glucose control is important not only for patients who are infected with COVID-19, but also for those without the disease. Innovations like telemedicine are useful to treat patients with diabetes in today’s times.

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Crossref · 10.1016/j.dsx.2020.04.004

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Metadata

Authors
Singh, A. K., Gupta, R., Ghosh, A., & Misra, A.
Venue
Diabetes & Metabolic Syndrome: Clinical Research & Reviews
Publisher
Elsevier BV
Published
2020-07
Volume
14
Issue
4
Pages
303-310
ISSN
1871-4021 (ISSN-L)
OpenAlex
W3015622053
Cited by
893
References
77
FWCI
23.81
Type
journal article
Language
en
Open access
green

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CoChat. (2026). Citation check: Diabetes in COVID-19: Prevalence, pathophysiology, prognosis and practical considerations. https://app.cochat.ai/papers/10.1016/j.dsx.2020.04.004
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Singh, A. K., Gupta, R., Ghosh, A., & Misra, A. (2020). Diabetes in COVID-19: Prevalence, pathophysiology, prognosis and practical considerations. Diabetes & Metabolic Syndrome: Clinical Research & Reviews. https://doi.org/10.1016/j.dsx.2020.04.004

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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.