ArticleDiabetes, obesity & metabolism2022
Interindividual variability in average glucose-glycated haemoglobin relationship in type 1 diabetes and implications for clinical practice.
Article in Diabetes, obesity & metabolism, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT06837181 (Studying the Presence of CFRD Complications With Thoughtful Recruitment), which is not on this map. Cited by 14 papers.
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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.
Studying the Presence of CFRD Complications With Thoughtful Recruitment (SPeCTRuM)
Who cites it
14 citing papers in PubMed.
- Discordance between mean glucose and time in range in relation to HbADiabetologia · 2024Trial
- Updated glucose management indicator (GMI) better aligns with HbADiabetologia · 2026Article
- Lack of Association Between Hemoglobin A1c and Continuous Glucose Monitor Metrics Among Individuals with Prediabetes and Normoglycemia.Diabetes technology & therapeutics · 2026Article
- A Study of the Relationship Between Serum Albumin-Corrected Fructosamine and Type 2 Diabetic Retinopathy.Journal of diabetes research · 2026Article
- Predictive value and robustness of the stress hyperglycemia ratio combined with hypertension for stroke risk: evidence from the CHARLS cohort.Cardiovascular diabetology · 2025Observational
- Personalized Hemoglobin A1c Shows Better Correlation with Mean Glucose than Laboratory Hemoglobin A1c in Ugandan Youth with Type 1 Diabetes, but Mean Glucose Is Not Clinically Useful in This Population Due to Extreme Glucose Variability.Diabetes technology & therapeutics · 2025Article
- Consistency of the personalized glycated haemoglobin (pHbA1c) methodology over time in people with type 1 diabetes (T1D) using continuous glucose monitoring.Diabetic medicine : a journal of the British Diabetic Association · 2025Article
- Discussion on the calculation formula of haemoglobin glycation index for Chinese population.Scientific reports · 2024Article
- Evaluating HbAScientific reports · 2024Article
- Is It Time to Move Beyond TIR to TITR? Real-World Data from Over 20,000 Users of Continuous Glucose Monitoring in Patients with Type 1 and Type 2 Diabetes.Diabetes technology & therapeutics · 2024Review
- Diet and Glycemic Index in Children with Type 1 Diabetes.Nutrients · 2023Review
- Article
- Evaluation of continuous glucose monitoring-derived person-specific HbA1c in the presence and absence of complications in type 1 diabetes.Diabetes, obesity & metabolism · 2022Article
- Interindividual variability in average glucose-glycated haemoglobin relationship in type 1 diabetes and implications for clinical practice.Diabetes, obesity & metabolism · 2022Article
Corrections and comments
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Authors and funding
5 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
aimGlycated haemoglobin (HbA1c) can fail to reflect average glucose levels, potentially compromising management decisions. We analysed variability in the relationship between mean glucose and HbA1c in individuals with diabetes. MATERIALS AND
methodsThree months of continuous glucose monitoring and HbA1c data were obtained from 216 individuals with type 1 diabetes. Universal red blood cell glucose transporter-1 Michaelis constant K
resultsThe mean age (range) was 30 years (8-72) with 94 younger than 19 years, 78 between 19 and 50 years, and 44 were >50 years. The group contained 120 women and 96 men with 106 white and 110 black individuals. The determined K
conclusionsIn this type 1 diabetes cohort, ethnicity and age, but not gender, alter the HbA1c-glucose relationship with even larger interindividual variations found within each group than between groups. Clinical application of personalized HbA1c-glucose relationships has the potential to optimize glycaemic care in the population with diabetes.
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