ArticleEndocrine2023
Impact of glucose variability on the assessment of the glycemia risk index (GRI) and classic glycemic metrics.
Article in Endocrine, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.
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Who cites it
14 citing papers in PubMed.
- Twenty-four-month evaluation of the glycemia risk index in adults with type 1 diabetes using advanced hybrid closed-loop systems.Endocrine · 2026Observational
- Integrating the Glycemia Risk Index Into Clinical Practice and Research: A Consensus Report.Journal of diabetes science and technology · 2026Article
- Flash Glucose Monitoring System Enhances Glycemic Control and Metabolic Health in People with Type 2 Diabetes on GLP-1RA-Based Therapy: Real-World Evidence.Advances in therapy · 2026Article
- Article
- Evaluation of Glycemia Risk Index and Continuous Glucose Monitoring Outcomes Following the Transition to an Advanced Hybrid Closed-Loop System in Type 1 Diabetes.Advances in therapy · 2025Article
- Article
- Evaluation of glycemia risk index and continuous glucose monitoring-derived metrics in type 1 diabetes: a real-world observational study.Journal of diabetes and metabolic disorders · 2025Article
- Association of Glycaemia Risk Index With Indices of Atherosclerosis: A Cross-Sectional Study.Journal of diabetes · 2025Article
- Measurement of serum 1,5-AG provides insights for diabetes management and the anti-viral immune response.Cellular and molecular life sciences : CMLS · 2025Article
- Association between glycemia risk index and carotid intima-media thickness in type 2 diabetes.Frontiers in endocrinology · 2025Article
- Article
- Observational
- Article
- Glycemic variability through the perspective of the glycemia risk index and time in range and their association with glycated hemoglobin A1c in pediatric patients on sensor-augmented pump therapy.Frontiers in endocrinology · 2024Article
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5 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
objectiveTo evaluate the impact of glucose variability on the relationship between the GRI and other glycemic metrics in a cohort of pediatric and adult patients with type 1 diabetes (T1D) using intermittent scanning continuous glucose monitoring (isCGM).
methodsWe performed a cross-sectional study of 202 patients with T1D under intensive insulin treatment (25.2% CSII) using isCGM. Clinical, metabolic, and glycemic metrics were collected, and the GRI was calculated with its hypoglycemia (CHypo) and hyperglycemia (CHyper) components. The correlation between the GRI and other classical glycometrics in relation to the coefficient of variation (CV) was evaluated.
resultsA total of 202 patients were included (53% male; 67.8% adults) with a mean age of 28.6 ± 15.7 years and 12.5 ± 10.9 years of T1D evolution (TIR 59.0 ± 17.0%; CV 39.8 ± 8.0%; GMI 7.3 ± 1.1%). The mean GRI was 54.0 ± 23.3 with a CHypo and CHyper component of 5.7 ± 4.8 and 23.4 ± 14.3, respectively. A strong negative correlation was observed between the GRI and TIR (R = -0.917; R
conclusionsThe GRI correlated significantly with all the glycemic metrics analyzed, especially with the TIR. Glycemic variability (GV) significantly affected the correlation of the GRI with other parameters and should be taken into consideration.
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