Publications
2024
- The effect of bolus advisors on glycaemic parameters in adults with diabetes on intensive insulin therapy: A systematic review with meta-analysisElisabeth J. den Brok MD, Cecilie H. Svensson MD, Maria Panagiotou MSc, Marleen M. J. van Greevenbroek PhD, Peter R. Mertens PhD, Andriani Vazeou PhD, Asimina Mitrakou PhD, Konstantinos Makrilakis PhD, Gregor H. L. M. Franssen MSc, Sander van Kuijk PhD, Stephan Proennecke PhD, Stavroula Mougiakakou PhD, Ulrik Pedersen-Bjergaard PhD, Bastiaan E. de Galan PhDVolume26, Issue5doi: https://doi.org/10.1111/dom.15521
The effect of bolus advisors on glycaemic parameters in adults living with diabetes on intensive insulin therapy
The study looks at how using bolus advisors - devices or software that help people with diabetes calculate the correct dose of insulin at mealtimes - affects blood sugar control in adults with diabetes on intensive insulin therapy.
The researchers reviewed, summarised and analysed data from 18 studies, involving 1,645 adults living with diabetes, most of whom had type 1 diabetes and used multiple daily insulin injections.
Key findings include:
- HbA1c Reduction: The use of bolus advisors slightly reduced HbA1c levels (a marker of long-term blood sugar control) by an average of 0.11%.
- Improvement in Low Blood Glucose Index: There were minor improvements in preventing the risk for low blood sugar episodes.
- Treatment Satisfaction: People using bolus advisors were generally more satisfied with their treatment.
- No major changes in preventing hypoglycaemia: The number of hypoglycaemic events (dangerously low blood sugar levels) didn’t reduce much.
- Other glucose outcomes: No changes in other glucose outcomes such as glucose fluctuations were found.
In conclusion, bolus advisors can help improve overall glucose control and make people more satisfied with their treatment, but they don’t reduce hypoglycaemic events. The authors recommend more research to personalise these advisors using artificial intelligence to make them more effective.
Read the full publication here: https://dom-pubs.pericles-prod.literatumonline.com/doi/10.1111/dom.15521
2023
- A Comparative Analysis of Sensor-, Geometry-, and Neural-Based Methods for Food Volume EstimationLubnaa Abdur Rahman, Ioannis Papathanail, Lorenzo Brigato, Stavroula MougiakakouProceedings of the 8th International Workshop on Multimedia Assisted Dietary Managementdoi: 10.1145/3607828.3617794
- A Complete AI-Based System for Dietary Assessment and Personalized Insulin Adjustment in Type 1 Diabetes Self-managementPanagiotou, Maria, Ioannis Papathanail, Lubnaa Abdur Rahman, Lorenzo Brigato, Natalie S. Bez, Maria F. Vasiloglou, Thomai Stathopoulou, Bastiaan E. de Galan, Ulrik Pedersen-Bjergaard, Klazine van der Horst, Stavroula MougiakakouInternational Conference on Computer Analysis of Images and Patternsdoi: 10.1007/978-3-031-44240-7_8
- The Nutritional Content of Meal Images in Free-Living Conditions—Automatic Assessment with goFOODTMIoannis Papathanail, Lubnaa Abdur Rahman, Lorenzo Brigato, Natalie S. Bez, Maria F. Vasiloglou, Klazine van der Horst, Stavroula MougiakakouNutrientsdoi: 10.3390/nu15173835
- Food Recognition and Nutritional AppsLubnaa Abdur Rahman, Ioannis Papathanail, Lorenzo Brigato, Elias K. Spanakis, Stavroula Mougiakakoudoi: 2307.05372