Nomogram prediction for the 3-year risk of type 2 diabetes in healthy mainland China residents.

ABSTRACT:

Aims

To develop a precise personalized type 2 diabetes mellitus (T2DM) prediction model by cost-effective and readily available parameters in a Central China population.

Methods

A 3-year cohort study was performed on 5557 nondiabetic individuals who underwent annual physical examination as the training cohort, and a subsequent validation cohort of 1870 individuals was conducted using the same procedures. Multiple logistic regression analysis was performed, and a simple nomogram was constructed via the stepwise method. Receiver operating characteristic (ROC) curve and decision curve analyses were performed by 500 bootstrap resamplings to assess the determination and clinical value of the nomogram, respectively. We also estimated the optimal cutoff values of each risk factor f

SUBMITTER: Wang K 

PROVIDER: S-EPMC6695459 | biostudies-literature | 2019 Sep

REPOSITORIES: biostudies-literature