Krischer JP, et al. - In this study with 7,777 children, researchers evaluated TEDDY-identified risk factors as predictors for islet autoimmunity (IA), the type of autoantibody appearing first, and type 1 diabetes (T1D). Data reported that the area under the ROC curve of the prediction model for T1D at three years following multiple autoantibodies appeared reached 0.706. According to findings, prediction modeling statistics have value in assessing whether risk factors can differentiate between those who will and won't get a disease when applied in a time-until-event setting. The TEDDY risk factors, although significantly linked with IA and T1D, contribute little to prediction individually, however they significantly improved the prediction of IA and T1D when combined.