Evidence map›Paper›PMID 40236844›Full record

ArticleWorld journal of diabetes2025

Clinical utility of glycated albumin and 1,5-anhydroglucitol in the screening and prediction of diabetes: A multi-center study.

Kam-Ching Ku, Junda Zhong, Erfei Song, Carol Ho-Yi Fong, Karen Siu-Ling Lam, Aimin Xu, Chi-Ho Lee, Chloe Yu-Yan Cheung

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Article in World journal of diabetes, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

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2citing papers in PubMed
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1 · What the graph read from it

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3 · Its place in the literature

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2 citing papers in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

8 authors.

Kam-Ching KuDepartment of Medicine, University of Hong Kong, Hong Kong 999077, China.
Junda ZhongDepartment of Medicine, University of Hong Kong, Hong Kong 999077, China.
Erfei SongDepartment of Medicine, University of Hong Kong, Hong Kong 999077, China.
Carol Ho-Yi FongDepartment of Medicine, University of Hong Kong, Hong Kong 999077, China.
Karen Siu-Ling LamDepartment of Medicine, University of Hong Kong, Hong Kong 999077, China.
Aimin XuDepartment of Medicine, University of Hong Kong, Hong Kong 999077, China.
Chi-Ho LeeDepartment of Medicine, University of Hong Kong, Hong Kong 999077, China.
Chloe Yu-Yan CheungDepartment of Medicine, University of Hong Kong, Hong Kong 999077, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundDespite being the gold standard, the use of glycated hemoglobin (HbA1c) and fasting plasma glucose (FPG) for diagnosing dysglycemia is imperfect. In particular, a low level of agreement between HbA1c and FPG in detecting prediabetes and diabetes has led to difficulties in clinical interpretation. Glycated albumin (GA) and 1,5-anhydroglucitol (1,5-AG) may potentially serve as biomarkers for the detection and prediction of diabetes, as well as glycemic monitoring.

aimTo explore the diagnostic performance of GA and 1,5-AG for screening dysglycemia; assess whether they can be used for glycemic monitoring in Chinese morbidly-obese patients; and examine their predictive ability for incident diabetes in a Chinese community-based cohort.

methodsGA and 1,5-AG concentrations were measured in 462 morbidly-obese patients from the Obese Chinese Cohort (OCC). A sub-group of diabetes subjects (

resultsGA exhibited an excellent diagnostic value with an area under the receiver operating characteristic curve (AUC) of 0.919 (95%CI: 0.884-0.955) for identifying diabetes and a high agreement in the classification of diabetes with both FPG and HbA1c in the OCC. GA demonstrated the fastest response to glycemic control. In CRISPS, the 'B3A' prediction model, which consisted of body mass index (BMI) and 3 biomarkers (HbA1c, GA and 1,5-AG), achieved a comparable predictive value [AUC (95%CI): 0.793 (0.744-0.843)] to that of a clinical model comprising BMI, HbA1c, FPG and 2-hour glucose (2hG) [AUC (95%CI): 0.783 (0.733-0.834); DeLong

conclusionGA and 1,5-AG have the potential to act as robust biomarkers for the screening and risk prediction of diabetes. FPG and 2hG may be replaced by GA and 1,5-AG in future diabetes predictions.

Indexed as

1,5-anhydroglucitolBiomarkersDiabetesGlycated albuminPrediction

Identifiers

PMID40236844
PMCPMC11947923

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