Communications Medicine (Oct 2023)

Utility and precision evidence of technology in the treatment of type 1 diabetes: a systematic review

  • Laura M. Jacobsen,
  • Jennifer L. Sherr,
  • Elizabeth Considine,
  • Angela Chen,
  • Sarah M. Peeling,
  • Margo Hulsmans,
  • Sara Charleer,
  • Marzhan Urazbayeva,
  • Mustafa Tosur,
  • Selma Alamarie,
  • Maria J. Redondo,
  • Korey K. Hood,
  • Peter A. Gottlieb,
  • Pieter Gillard,
  • Jessie J. Wong,
  • Irl B. Hirsch,
  • Richard E. Pratley,
  • Lori M. Laffel,
  • Chantal Mathieu,
  • ADA/EASD PMDI

DOI
https://doi.org/10.1038/s43856-023-00358-x
Journal volume & issue
Vol. 3, no. 1
pp. 1 – 24

Abstract

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Abstract Background The greatest change in the treatment of people living with type 1 diabetes in the last decade has been the explosion of technology assisting in all aspects of diabetes therapy, from glucose monitoring to insulin delivery and decision making. As such, the aim of our systematic review was to assess the utility of these technologies as well as identify any precision medicine-directed findings to personalize care. Methods Screening of 835 peer-reviewed articles was followed by systematic review of 70 of them (focusing on randomized trials and extension studies with ≥50 participants from the past 10 years). Results We find that novel technologies, ranging from continuous glucose monitoring systems, insulin pumps and decision support tools to the most advanced hybrid closed loop systems, improve important measures like HbA1c, time in range, and glycemic variability, while reducing hypoglycemia risk. Several studies included person-reported outcomes, allowing assessment of the burden or benefit of the technology in the lives of those with type 1 diabetes, demonstrating positive results or, at a minimum, no increase in self-care burden compared with standard care. Important limitations of the trials to date are their small size, the scarcity of pre-planned or powered analyses in sub-populations such as children, racial/ethnic minorities, people with advanced complications, and variations in baseline glycemic levels. In addition, confounders including education with device initiation, concomitant behavioral modifications, and frequent contact with the healthcare team are rarely described in enough detail to assess their impact. Conclusions Our review highlights the potential of technology in the treatment of people living with type 1 diabetes and provides suggestions for optimization of outcomes and areas of further study for precision medicine-directed technology use in type 1 diabetes.