Time for Using Machine Learning for Dose Guidance in Titration of People With Type 2 Diabetes? A Systematic Review of Basal Insulin Dose Guidance.

Journal: Journal of diabetes science and technology
Published Date: Sep 1, 2024

Abstract

BACKGROUND: Real-world studies of people with type 2 diabetes (T2D) have shown insufficient dose adjustment during basal insulin titration in clinical practice leading to suboptimal treatment. Thus, 60% of people with T2D treated with insulin do not reach glycemic targets. This emphasizes a need for methods supporting efficient and individualized basal insulin titration of people with T2D. However, no systematic review of basal insulin dose guidance for people with T2D has been found.

Authors

  • Camilla Heisel Nyholm Thomsen
    Department of Health Science and Technology, Aalborg University, Aalborg, Denmark.
  • Stine Hangaard
    Department of Health Science and Technology, Aalborg University, Aalborg, Denmark.
  • Thomas Kronborg
    Department of Health Science and Technology, Aalborg University, Aalborg, Denmark.
  • Peter Vestergaard
    Department of Endocrinology, Aalborg University Hospital, Moelleparkvej 4, 9000, Aalborg, Denmark.
  • Ole Hejlesen
    Department of Health Science and Technology, Aalborg University, Aalborg, Denmark.
  • Morten Hasselstrøm Jensen
    Department of Health Science and Technology, Aalborg University, Aalborg, Denmark.

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