Development and validation of a type 2 diabetes mellitus prediction tool using a large Japanese regional insurance claims database.

ABSTRACT: With the increasing global prevalence of diabetes, predictive models are crucial for early interventions, including elderly participants who are often underrepresented in existing models. Existing models, however, are often derived from specific subpopulations or from individuals with prevalent diabetes, which limits their generalizability to the broader population. This study aimed to develop and validate a predictive model for type 2 diabetes mellitus (T2DM) onset using a large Japanese cohort including elderly participants. Data from the Shizuoka Kokuho Database, comprising over 2.5 million people, was used. The analysis included 463,248 adults aged 40 and above who underwent health checkups. Participants were split into derivation (308,832) and validation datasets (154,416) in a 2:1 ra

SUBMITTER: Satoh T 

PROVIDER: S-EPMC12575639 | biostudies-literature | 2025 Oct

REPOSITORIES: biostudies-literature