Cited by 70Diabetes Management and ResearchDiabetes Treatment and ManagementDiabetes, Cardiovascular Risks, and Lipoproteins

Long-term glycemic variability and vascular complications in type 2 diabetes: post hoc analysis of the field study

Scott, Emma S, Januszewski, Andrzej S, O’Connell, Rachel, Fulcher, Gregory, Scott, Russell, Kesaniemi, Antero, Wu, Linda, Colagiuri, Stephen +2 more·2020·The Journal of Clinical Endocrinology & Metabolism

Abstract

AIMS: To investigate whether long-term glycemic variability (GV) is associated with vascular complication development in type 2 diabetes. METHODS: In a post hoc FIELD trial analysis, GV was calculated as the standard deviation and coefficient of variation (CV) of glycated hemoglobin A1c (HbA1c) and fasting plasma glucose. Baseline variables were compared across quartiles of on-study variability by chi square and ANOVA. Prospective associations between baseline to 2-year GV and subsequent vascular and mortality outcomes were analyzed using landmark logistic and Cox proportional hazards regression. RESULTS: Baseline factors associated with higher on-study GV included younger age, male gender, longer diabetes duration, and higher pharmacological therapies usage. Both HbA1c and fasting glucose CV were associated with increased risk of microvascular complications (HR 1.02 [95% CI, 1.01-1.03] P < 0.01; and HR 1.01 [95% CI, 1.00-1.01] P < 0.001, respectively). HbA1c and fasting glucose CV were associated with increased cardiovascular disease (HR 1.02 [95% CI, 1.00-1.04]; and HR 1.01 [95% CI, 1.00-1.02], both P < 0.05). HbA1c CV associated with increased stroke (HR 1.03 [95% CI, 1.01-1.06) P < 0.01). Glucose CV associated with increased coronary events (HR 1.01 [95% CI, 1.00-1.02] P < 0.05). Both HbA1c and glucose CV associated with increased total mortality (HR 1.04 [95% CI, 1.02-1.06]; and HR 1.01 [95% CI, 1.01-1.02], both P < 0.001) and noncardiovascular mortality (HR 1.05 [95% CI, (1.03-1.07]; and HR 1.02 [95% CI, 1.01-1.03], both P < 0.001). HbA1c CV associated with coronary mortality (HR 1.04 [95% CI, 1.01-1.07] P < 0.05). CONCLUSIONS: Long-term GV was associated with increased risk of vascular outcomes in type 2 diabetes.

Integrity signals

Registry

Crossref · 10.1210/clinem/dgaa361

Cites

51 of 51 references verified0 citation errors · 0 not checkable

Statistics

Recomputing p-values needs the paper’s full text.

Claims the paper makes

This paper’s full text isn’t openly available, so its claims and self-check weren’t run. The registry and citation checks still apply.

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?

  • Glycaemic variability is associated with both microvascular and macrovascular complications, with reduced quality of life, and increasing the psychological burden of diabetes management.

    “This glycaemic variability, is associated with both microvascular and macrovascular complications, with reduced quality of life, and increasing in the psychological burden of diabetes management [98–100].”
  • Glycemic variability is associated with mortality in patients with type 2 diabetes.

    “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.”

Cites

Flagged first, then by citations

Cited by

Sorted by citations

Authors
Scott, E. S., Januszewski, A. S., O’Connell, R., Fulcher, G., Scott, R., Kesaniemi, A., Wu, L., Colagiuri, S., Keech, A., & Jenkins, A. J.
Affiliations
  • The University of Sydney (AU)
  • National Health and Medical Research Council (NHMRC) Clinical Trial Centre, University of Sydney, Sydney, Australia
  • Canterbury District Health Board (NZ)
  • Oulu Medical Research Centre, University of Oulu and Oulu University Hospital, Oulu, Finland
Corresponding author
Keech, Anthony
Venue
The Journal of Clinical Endocrinology & Metabolism
Published
2020-08-07
Volume
105
Issue
10
Pages
e3638-e3649
ISSN
  • 0021-972X (ISSN-L)
  • 1945-7197
OpenAlex
W3047896790
Cited by
70
References
51
Citations by year
2026: 10 · 2025: 10 · 2024: 10 · 2023: 19 · 2022: 12 · 2021: 8 · 2020: 1
FWCI
7.57
Type
journal article
Language
en
Open access
closed
Locations
  • The Journal of Clinical Endocrinology & Metabolism (publishedVersion)
  • PubMed (publishedVersion)
Funders
  • National Health and Medical Research Council
  • Juvenile Diabetes Research Foundation Australia
  • Royal Australian College of Physicians
  • Sydney Medical School Foundation
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, Cardiovascular Risks, and Lipoproteins
Keywords
glycemic variability, type 2 diabetes, vascular complications, microvascular complications, cardiovascular disease, stroke, coronary events, mortality, HbA1c, fasting blood glucose, coefficient of variation, field trials, diabetes duration, pharmacotherapy, glycemic control, cardiovascular risk stratification, risk prediction model
MeSH terms
Biological Variation, Individual, Aged, Australia, Blood Glucose, Diabetes Mellitus, Type 2, Diabetic Angiopathies, Fasting, Female, Finland, Glycated Hemoglobin, Humans, Male, Middle Aged, New Zealand, Prospective Studies

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