Two Distinct Groups Are Shown to Be at Risk of Diabetes by Means of a Cluster Analysis of Four Variables

Two Distinct Groups Are Shown to Be at Risk of Diabetes by Means of a Cluster Analysis of Four Variables

Recent attempts to classify adult-onset diabetes using only six diabetes-related variables (GAD antibody, age at diagnosis, BMI, HbA1c, and homeostatic model assessment 2 estimates of b-cell function and insulin resistance (HOMA2-B and HOMA2-IR)) showed that diabetes can be classified into five clus...

Full description

Bibliographic Details
Main Authors: Ryoma Ito, Satoru Mizushiri, Yuki Nishiya, Shoma Ono, Ayumi Tamura, Kiho Hamaura, Akihide Terada, Jutaro Tanabe, Miyuki Yanagimachi, Kyi Mar Wai, Yutaro Kudo, Kazushige Ihara, Yoshiko Takahashi, Makoto Daimon
Format: Article
Language:English
Published: MDPI AG 2023-01-01
Series:Journal of Clinical Medicine
Subjects:
cluster analysis
incident type 2 diabetes
nondiabetic population
Online Access:https://www.mdpi.com/2077-0383/12/3/810

Internet

https://www.mdpi.com/2077-0383/12/3/810

Similar Items