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Predicting Islet Cell Autoimmunity and Type 1 Diabetes: An 8-Year TEDDY Study Progress Report.

Jeffrey P KrischerXiang LiuKendra VehikBeena AkolkarWilliam A HagopianMarian J RewersJin-Xiong SheJorma ToppariAnette-Gabriele ZieglerÅke Lernmarknull null
Published in: Diabetes care (2019)
Prediction modeling statistics are valuable tools, when applied in a time-until-event setting, to evaluate the ability of risk factors to discriminate between those who will and those who will not get disease. Although significantly associated with IA and T1D, the TEDDY risk factors individually contribute little to prediction. However, in combination, these factors increased IA and T1D prediction substantially.
Keyphrases
  • risk factors
  • type diabetes
  • single cell
  • cardiovascular disease
  • cell therapy
  • stem cells
  • insulin resistance
  • glycemic control
  • metabolic syndrome
  • skeletal muscle
  • bone marrow