Skip to main page content
U.S. flag

An official website of the United States government

Dot gov

The .gov means it’s official.
Federal government websites often end in .gov or .mil. Before sharing sensitive information, make sure you’re on a federal government site.

Https

The site is secure.
The https:// ensures that you are connecting to the official website and that any information you provide is encrypted and transmitted securely.

Access keys NCBI Homepage MyNCBI Homepage Main Content Main Navigation
. 2022 Dec;16(6):853-856.
doi: 10.1016/j.pcd.2022.09.007. Epub 2022 Sep 23.

Ethnic differences between Asians and non-Asians in clustering-based phenotype classification of adult-onset diabetes mellitus: A systematic narrative review

Jithin Sam Varghese  1 , K M Venkat Narayan  2
Affiliations

Ethnic differences between Asians and non-Asians in clustering-based phenotype classification of adult-onset diabetes mellitus: A systematic narrative review

Jithin Sam Varghese et al. Prim Care Diabetes. 2022 Dec.

Abstract

Several international studies have stratified people with diabetes into phenotypical clusters. However, there has not been a systematic examination of the variation in these clusters across ethnic groups. For example, some clusters appear more frequent among Asians and may have lower weight, age at diagnosis and poorer beta cell function.

Keywords: Asian; Cluster analysis; Diabetes phenotypes; Subgroups.

PubMed Disclaimer

Conflict of interest statement

Competing interests: None declared

Declarations of interest: none

Figures

Figure 1.
Figure 1.. Frequency of diabetes mellitus clusters from different studies by predominant ethnicity of study population
All values are proportions of clusters as reported.
Figure 2.
Figure 2.. Distribution of key clinical variables between Asians and Non-Asians
A: Comparison of median values between Asians relative to Non-Asians; B: All values are median values for each clinical variable separately from different studies.
See this image and copyright information in PMC

References

    1. Ahlqvist E, Storm P, Karajamaki A, Martinell M, Dorkhan M, Carlsson A, et al. Novel subgroups of adult-onset diabetes and their association with outcomes: a data-driven cluster analysis of six variables. Lancet Diabetes Endocrinol. 2018;6:361–9. - PubMed
    1. Zou X, Zhou X, Zhu Z, Ji L. Novel subgroups of patients with adult-onset diabetes in Chinese and US populations. The Lancet Diabetes & Endocrinology. 2019;7:9–11. - PubMed
    1. Dennis JM, Shields BM, Henley WE, Jones AG, Hattersley AT. Disease progression and treatment response in data-driven subgroups of type 2 diabetes compared with models based on simple clinical features: an analysis using clinical trial data. The Lancet Diabetes & Endocrinology. 2019;7:442–51. - PMC - PubMed
    1. Zaharia OP, Strassburger K, Strom A, Bonhof GJ, Karusheva Y, Antoniou S, et al. Risk of diabetes-associated diseases in subgroups of patients with recent-onset diabetes: a 5-year follow-up study. Lancet Diabetes Endocrinol. 2019;7:684–94. - PubMed
    1. Anjana RM, Baskar V, Nair ATN, Jebarani S, Siddiqui MK, Pradeepa R, et al. Novel subgroups of type 2 diabetes and their association with microvascular outcomes in an Asian Indian population: a data-driven cluster analysis: the INSPIRED study. BMJ Open Diabetes Res Care. 2020;8. - PMC - PubMed

Publication types