Cited by 67Diabetes Management and ResearchDiabetes Treatment and ManagementDiabetes Management and Education

Minimizing Glycemic Fluctuations in Patients with Type 2 Diabetes: Approaches and Importance

Open access
Dandona, Paresh·2017·Diabetes Technology & Therapeutics

Abstract

Glycemic fluctuations, characterized by short-term oscillations in plasma glucose, are important when managing type 2 diabetes (T2D) and may be considered a target of glucose-lowering therapies. Continuous glucose monitoring (CGM) has been used to evaluate the effects of different treatments on glycemic fluctuations. This review examines approaches to and the importance of minimizing glycemic fluctuations among patients with T2D. Measures of HbA1c, fructosamine, and glycated albumin reflect a long-term average of plasma glucose, and are therefore unable to provide an accurate measure of short-term glycemic oscillations. CGM provides accurate monitoring of real-time glucose fluctuations and has been used to investigate the effects of lifestyle and treatment on daily glycemic control. Dipeptidyl peptidase-4 inhibitors, sodium–glucose cotransporter 2 inhibitors, and glucagon-like peptide-1 receptor agonists have demonstrated significant improvements in measures such as the mean amplitude of glucose excursions and standard deviation of CGM. Case studies of two patients with T2D utilizing CGM are also included in this review, which demonstrated that CGM was a useful tool for diagnosing unrecognized hypoglycemia and hyperglycemia in situations in which it was impractical to check fingerstick concentrations. Altogether, the evidence suggests that glycemic fluctuations are a potential target to consider when managing T2D. CGM allows for the real-time evaluation of glycemic fluctuations and may assist in the development of an individualized treatment plan to adequately control short-term oscillations in blood glucose levels.

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Integrity signals

Registry

Crossref · 10.1089/dia.2016.0372

Cites

63 of 63 references verified0 citation errors · 0 not checkable

Statistics

Claims the paper makes

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Claims other papers make about this one

Each is checked against this paper’s own text: does it say what the citing paper says it does?

  • People with T1D may regard reducing glucose variability and improving TIR to be as important as achieving their target HbA1c value.

    “As measurements of HbA1c do not reflect glycemic variability and target HbA1c values may be achieved while still experiencing marked daily glycemic fluctuations, people with T1D may regard reducing glucose variability and improving TIR to be as important as achieving their target HbA1c value.36,37”

Self-check

Percentages, sums and reported differences re-computed from the paper’s own numbers.

The self-check needs the paper’s full text.

Cites

Flagged first, then by citations

Research works printed but not linked: 1

  1. [51]Vora JP, Malloy J, Zhou M, et al.: 997-P Daily blood glucose variability with exenatide once weekly vs. basal insulin in 3 RCTs [abstract]. Diabetes 2014; 63: A256

Cited by

Sorted by citations

Authors
Dandona, P.
Affiliations
University at Buffalo, State University of New York (US)
Corresponding author
Dandona, Paresh
Venue
Diabetes Technology & Therapeutics
Published
2017-09
Volume
19
Issue
9
Pages
498-506
ISSN
  • 1520-9156 (ISSN-L)
  • 1557-8593
OpenAlex
W2744781443
Cited by
67
References
63
Citations by year
2026: 3 · 2025: 7 · 2024: 9 · 2023: 3 · 2022: 6 · 2021: 16 · 2020: 13 · 2019: 6 · 2018: 4
FWCI
0.92
Type
journal article
Language
en
Open access
Locations
  • Diabetes Technology & Therapeutics (publishedVersion)
  • Europe PMC (PubMed Central) (publishedVersion, cc-by-nc)
  • PubMed Central (publishedVersion, cc-by-nc)
  • PubMed (publishedVersion)
Funders
AstraZeneca
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 › Diabetes Management and Education
Keywords
glucose fluctuations, type 2 diabetes, continuous glucose monitoring, mean amplitude of glucose excursion, DPP-4 inhibitors, SGLT2 inhibitors, GLP-1 receptor agonists, hypoglycemia, hyperglycemia, glycemic control, HbA1c limitations
MeSH terms
Blood Coagulation Disorders, Blood Glucose, Combined Modality Therapy, Diabetes Mellitus, Type 2, Glycated Hemoglobin, Humans, Hypoglycemia, Practice Guidelines as Topic, Oxidative Stress, Monitoring, Ambulatory, Evidence-Based Medicine, Diabetes Complications, Precision Medicine

About these checks

Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

Statistics and arithmetic are recomputed, not judged.

Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.

What counts as a claim ›How we measure confidence ›How we check this ›

Are you an author, or do you see a problem with this page? Request a review