Evidence map›Paper›PMID 42257619›Full record

ArticleDiabetes care2026

Glucose-Derived Personalized HbA1c Correction (GDAC) Study to Improve Alignment Between CGM-Derived Metrics and HbA1c in Different Individuals and Racial Groups With Diabetes: Implications for Clinical Practice.

Ramzi A Ajjan, Pratik Choudhary, Yongjin Xu, Timothy C Dunn

Abstract read
In one paragraph

Article in Diabetes care, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

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2 · The registry

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3 · Its place in the literature

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0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

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5 · Who and what money

Authors and funding

4 authors.

Ramzi A AjjanThe LIGHT Laboratories, Leeds Institute of Cardiovascular and Metabolic Medicine, University of Leeds, Leeds, U.K.ORCID 0000-0002-1636-3725
Pratik ChoudharyDiabetes Research Centre, University of Leicester, Leicester, U.K.
Yongjin XuClinical Affairs, Abbott Diabetes Care, Alameda, CA.ORCID 0000-0001-9446-8402
Timothy C DunnClinical Affairs, Abbott Diabetes Care, Alameda, CA.ORCID 0000-0003-3487-2504

Funding

Abbott Diabetes Care
6 · The paper itself

Abstract

objectiveGlycated hemoglobin (HbA1c) and average glucose (AG) can show discordance due to personal variations in red blood cell (RBC) physiology, creating management difficulties. Our aims were to understand the size of the problem and refine this glycemic metric by adjusting for personal differences in RBC characteristics. RESEARCH AND DESIGN AND

methodsA 26-week prospective study was conducted in individuals with type 1 diabetes (T1D) or type 2 diabetes across four racial groups with HbA1c collected every 2 weeks and continuous glucose monitoring (CGM) used throughout. Personal glycation ratio (PGR) was derived from HbA1c and AG data (weeks 0-12), allowing calculation of personalized HbA1c (pA1C) and subsequent testing (weeks 20-26). The relationship between AG and HbA1c or pA1C was then analyzed, documenting a clinically meaningful discordance of ≥0.5%. In addition, we used real-world data sets to further validate the accuracy of pA1C at reflecting glucose exposure.

resultsOf 257 participants (19% T1D) with complete CGM and HbA1c data sets, mean age (±SD) was 53 ± 14 years (45% females). The racial background was 35% Asian, 30% White, 22% Black, and 14% other/mixed. Of the total study population, 33% showed ≥0.5% HbA1c-AG discordance, with the Black population affected most (41% discordance). Use of pA1C reduced the discordance in the whole population to 14% (58% reduction), while this was reduced in the Black population to 12% (71% reduction).

conclusionsHbA1c-AG discordance is common, particularly in the Black population, with pA1C improving alignment with glucose levels, potentially helping to optimize clinical management and reduce health disparities.

Indexed as

Blood GlucoseDiabetes Mellitus, Type 1Diabetes Mellitus, Type 2Glycated HemoglobinAdultAgedContinuous Glucose MonitoringFemaleHumansMaleMiddle AgedProspective StudiesBlood GlucoseGlycated Hemoglobin

Identifiers

PMID42257619
PMCPMC13385940

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.