Time for Using Machine Learning for Dose Guidance in Titration of People With Type 2 Diabetes? A Systematic Review of Basal Insulin Dose Guidance
Authors' conclusion
Studies mainly used titration algorithms to titrate basal insulin as telehealth or in paper format, except for studies using mathematical models. A numerically larger proportion of participants seemed to reach target using telehealth solutions compared to paper-based titration algorithms. Exploring capabilities of machine learning may provide insights that could pioneer future research while focusing on holistic development.
Study context
- Population
- Adults with T2D on basal insulin analogs; studies published before September 7, 202235 studies
- Comparison
- Basal insulin dose guidance methods: paper-based titration algorithms, telehealth solutions, mathematical models
- Outcome
- Categories of basal insulin dose guidance
Methodological detailsPRISMA guidelines, Joanna Briggs Institute risk-of-bias appraisal
- PRISMA guidelines
- Joanna Briggs Institute risk-of-bias appraisal
Pooled result
As reported in the abstract
Studies included
35
Original publication
Time for Using Machine Learning for Dose Guidance in Titration of People With Type 2 Diabetes? A Systematic Review of Basal Insulin Dose Guidance. J Diabetes Sci Technol. Published 23 December 2022. doi:10.
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