The DOI matches its Crossref record; 78 of the 80 references it cites were found in a registry or an index.
Glucose Variability; Does It Matter?
Abstract
Overall lowering of glucose is of pivotal importance in the treatment of diabetes, with proven beneficial effects on microvascular and macrovascular outcomes. Still, patients with similar glycosylated hemoglobin levels and mean glucose values can have markedly different daily glucose excursions. The role of this glucose variability in pathophysiological pathways is the subject of debate. It is strongly related to oxidative stress in in vitro, animal, and human studies in an experimental setting. However, in real-life human studies including type 1 and type 2 diabetes patients, there is neither a reproducible relation with oxidative stress nor a correlation between short-term glucose variability and retinopathy, nephropathy, or neuropathy. On the other hand, there is some evidence that long-term glycemic variability might be related to microvascular complications in type 1 and type 2 diabetes. Regarding mortality, a convincing relationship with short-term glucose variability has only been demonstrated in nondiabetic, critically ill patients. Also, glucose variability may have a role in the prediction of severe hypoglycemia. In this review, we first provide an overview of the various methods to measure glucose variability. Second, we review current literature regarding glucose variability and its relation to oxidative stress, long-term diabetic complications, and hypoglycemia. Finally, we make recommendations on whether and how to target glucose variability, concluding that at present we lack both the compelling evidence and the means to target glucose variability separately from all efforts to lower mean glucose while avoiding hypoglycemia.
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“Recent clinical data indicate that GV is associated with increased risk of hypoglycemia, microvascular and macrovascular complications, and mortality in patients with diabetes, independently of glycated hemoglobin level.”
From Glycemic variability and cardiovascular disease in patients with type 2 diabetes (2021) · cites this paper as [15]
Citations
Cites
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Brownlee, M. (2005) · Diabetes · doi:10.2337/diabetes.54.6.1615 · Cited by 5,339
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(2009) · New England Journal of Medicine · doi:10.1056/nejmoa0810625 · Cited by 5,119
Intensive insulin therapy in the medical ICU
Van den Berghe, G., Wilmer, A., Hermans, G., Meersseman, W., Wouters, P. J., Milants, I., Van Wijngaerden, E., Bobbaers, H., & Bouillon, R. (2006) · New England Journal of Medicine · doi:10.1056/nejmoa052521 · Cited by 3,639
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The PICO strategy for the research question construction and evidence search
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Research works printed but not linked: 2
- Bugler J, Buell H 2008 Measuring glycemic variability—an estimation of data required based on a 90 day user study. Proc of 27th Workshop of the Artificial Insulin Delivery/Pancreas and Islet Transplantation study group of the European Association for the Study of Diabetes, Innsbruck, Austria, 2008 (Abstract S16)
- Devos, 2007, Impact of tight glucose control by intensive insulin therapy on ICU mortality and the rate of hypoglycemia: final results of the Glucontrol study, Intensive Care Med, 33, S189
Cited by
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Impact of postprandial glycaemia on health and prevention of disease
Blaak, E. E., Antoine, J. M., Benton, D., Björck, I., Bozzetto, L., Brouns, F. J. P. H., Diamant, M., Dye, L., Hulshof, T. G., Holst, J. J., et al. (2012) · Obesity Reviews · doi:10.1111/j.1467-789x.2012.01011.x · Cited by 513
Bergenstal, R. M., Ahmann, A. J., Bailey, T., Beck, R. W., Bissen, J., Buckingham, B., Deeb, L., Dolin, R. H., Garg, S. K., Goland, R., et al. (2013) · Diabetes Technology & Therapeutics · doi:10.1089/dia.2013.0051 · Cited by 307
Metrics for glycaemic control - from HbA1c to continuous glucose monitoring
Kovatchev, B. P. (2017) · Nature Reviews Endocrinology · doi:10.1038/nrendo.2017.3 · Cited by 272
Su, G., Mi, S., Tao, H., Zhao, L., Yang, H., Zheng, H., Zhou, Y., & Ma, C. (2011) · Cardiovascular Diabetology · doi:10.1186/1475-2840-10-19 · Cited by 260
Chowdhury, E. A., Richardson, J. D., Holman, G. D., Tsintzas, K., Thompson, D., & Betts, J. A. (2016) · The American Journal of Clinical Nutrition · doi:10.3945/ajcn.115.122044 · Cited by 255
Metadata
- Authors
- Siegelaar, S. E., Holleman, F., Hoekstra, J. B. L., & DeVries, J. H.
- Affiliations
- Amsterdam UMC Location University of Amsterdam (NL)
- Corresponding author
- Siegelaar, Sarah E.
- Venue
- Endocrine Reviews
- Publisher
- The Endocrine Society
- Published
- 2010-04-01
- Volume
- 31
- Issue
- 2
- Pages
- 171-182
- ISSN
- 0163-769X (ISSN-L)
- 1945-7189
- OpenAlex
- W2100202103
- Cited by
- 409
- References
- 80
- Citations by year
- 2026: 6 · 2025: 10 · 2024: 11 · 2023: 13 · 2022: 28 · 2021: 25 · 2020: 25 · 2019: 30 · 2018: 30 · 2017: 25 · 2016: 26 · 2015: 33 · 2014: 40 · 2013: 37 · 2012: 30
- FWCI
- 4.79
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- Endocrine Reviews (publishedVersion)
- PubMed (publishedVersion)
- Pure Amsterdam UMC (publishedVersion)
- Data Archiving and Networked Services (DANS) (submittedVersion)
- Topics
- Health Sciences › Medicine › Endocrinology, Diabetes and Metabolism › Diabetes Management and Research
- Health Sciences › Medicine › Endocrinology, Diabetes and Metabolism › Diabetes Treatment and Management
- Health Sciences › Medicine › Endocrinology, Diabetes and Metabolism › Hyperglycemia and glycemic control in critically ill and hospitalized patients
- Keywords
- glycemic variability, type 1 diabetes, type 2 diabetes, oxidative stress, microvascular complications, diabetic retinopathy, diabetic nephropathy, diabetic neuropathy, hypoglycemia, glycemic control, HbA1c, glycemic excursions, mortality
- MeSH terms
- Animals, Blood Glucose, Diabetes Mellitus, Humans, Hypoglycemia, Insulin, Blood Glucose Self-Monitoring, Oxidative Stress, Diabetes Complications
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