Clinical application of cluster analysis in patients with newly diagnosed type 2 diabetes
Author:
Funder
Cuiying Technology Innovation
Publisher
Springer Science and Business Media LLC
Link
https://link.springer.com/content/pdf/10.1007/s42000-024-00593-4.pdf
Reference58 articles.
1. Sun H, Saeedi P, Karuranga S, Pinkepank M, Ogurtsova K, Duncan BB, Stein C, Basit A, Chan J, Mbanya JC et al (2022) IDF Diabetes Atlas: Global, regional and country-level diabetes prevalence estimates for 2021 and projections for 2045. Diabetes Res Clin Pract 183:109119. https://doi.org/10.1016/j.diabres.2021.109119
2. Schleicher E, Gerdes C, Petersmann A, Muller-Wieland D, Muller UA, Freckmann G, Heinemann L, Nauck M, Landgraf R (2022) Definition, classification and diagnosis of diabetes mellitus. Exp Clin Endocrinol Diabetes 130(01):S1–S8. https://doi.org/10.1055/a-1624-2897
3. Pearson ER (2019) Type 2 diabetes: a multifaceted disease. Diabetologia 62(7):1107–1112. https://doi.org/10.1007/s00125-019-4909-y
4. McCarthy MI (2017) Painting a new picture of personalised medicine for diabetes. Diabetologia 60(5):793–799. https://doi.org/10.1007/s00125-017-4210-x
5. Ahlqvist E, Storm P, Karajamaki A, Martinell M, Dorkhan M, Carlsson A, Vikman P, Prasad RB, Aly DM, Almgren P et al (2018) Novel subgroups of adult-onset diabetes and their association with outcomes: a data-driven cluster analysis of six variables. Lancet Diabetes Endocrinol 6(5):361–369. https://doi.org/10.1016/S2213-8587(18)30051-2
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