ReviewDiabetes & metabolic syndrome
Heterogeneity in presentation of hyperglycaemia during COVID-19 pandemic: A proposed classification.
Review in Diabetes & metabolic syndrome. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 13 papers.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
13 citing papers in PubMed, 29 citations in OpenAlex.
- Trial
- Predictive Value of the CURB-65, MuLBSTA, Pneumonia Severity Index Scores and Laboratory Parameters for In-Hospital Mortality in Patients with Diabetes Mellitus and COVID-19 Infection.Journal of clinical medicine · 2026Article
- Understanding the interplay between COVID-19 and diabetes: insights for the post-pandemic era.Frontiers in endocrinology · 2025Review
- The Bidirectional Association Between Metabolic Syndrome and Long-COVID-19.Diabetes, metabolic syndrome and obesity : targets and therapy · 2024Review
- Assessment of determining factors for severity of NeoCOVIDiabetes in India: A pan India multicentric retrospective study.Diabetes & metabolic syndrome · 2023Article
- The Pathophysiology of Long COVID throughout the Renin-Angiotensin System.Molecules (Basel, Switzerland) · 2022Review
- Women's health status before and during the COVID-19 pandemic in rural Bangladesh: A prospective longitudinal study.PloS one · 2022Article
- Pediatric diabetic ketoacidosis as type 1 diabetes debut with concurrent SARS-CoV-2 infection: A case report.SAGE open medical case reports · 2022Article
- Data-driven identification of temporal glucose patterns in a large cohort of nondiabetic patients with COVID-19 using time-series clustering.JAMIA open · 2021Article
- Diabetes and COVID19: a bidirectional relationship.Nutrition & diabetes · 2021Review
- What Every Diabetologist Should Know about SARS-CoV-2: State of Knowledge at the Beginning of 2021.Journal of clinical medicine · 2021Review
- Majorly Resurgent and Uncontrolled Diabetes During COVID19 Era, and in the Future Can Be Contained in India.Diabetes & metabolic syndromeArticle
- Post COVID-19 Syndrome ("Long COVID") and Diabetes: Challenges in Diagnosis and Management.Diabetes & metabolic syndromeReview
Corrections and comments
- Erratum issued
Authors and funding
3 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Diabetes and hyperglycemia occurring during COVID-19 era have implications for COVID-19 related morbidity/mortality. In this brief review, we have attempted to categorise and classify such heterogenous hyperglycemic states. During COVID-19 pandemic broadly two types of hyperglycemia were seen: one in patients without COVID-19 infection and second in patients with COVID-19 infection. Patients not inflicted with COVID-19 infection and diagnosed with either type 2 diabetes mellitus (T2DM) or type 1 diabetes mellitus (T1DM) show more severe hyperglycemia and more ketoacidosis, respectively. In former, it could be attributed to weight gain, decreased exercise, stress and in both type of diabetes, due to delayed diagnosis during lockdown and pandemic. In patients with COVID-19 and associated pneumonia, altered glucose metabolism leading to hyperglycemia could be due to corticosteroids, cytokine storm, damage to pancreatic beta cells, or combination of these factors. Some of these patients present with diabetic ketoacidosis, hyperglycemic hyperosmolar state or both. We have provided a framework for categorisation of hyperglycemic states, which could be consolidated/revised in future based on new research data.
Indexed as
Identifiers
What Socratic holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the Socratic graph.