Transitioning from Self-Monitoring of Blood Glucose to Continuous Glucose Monitoring in Combination with a mHealth App Improves Glycemic Control in People with Type 1 and Type 2 Diabetes
Zivkovic et al.
The finding, in our words
Transitioning from SMBG to rtCGM while using the mySugr app improved glycaemic control across the cohort, with benefits sustained over six months; new users of the app showed the greatest improvements, and people with type 1 diabetes experienced a larger reduction in glucose variability whereas those with type 2 showed a relatively larger decrease in average glucose.
A paraphrase to the Library’s standard, never the abstract. The source is one link away and is always the authority.
In a crossover trial of 23 adults with newly diagnosed type 2 diabetes, a personalised diet based on predicted postprandial glucose responses improved continuous glucose monitoring measures significantly more than a Mediterranean diet, including lower average postprandial glucose response and less time in hyperglycaemia. A six-month follow-up of the personalised diet further improved glycaemic control and metabolic health, supporting its clinical utility for decentralised diabetes management.
This systematic review of ten studies with 49,172 participants found that machine-learning models integrating continuous glucose monitoring data with clinical, genetic and multi-omic biomarkers achieved AUC values up to 0.993 for early type 1 diabetes detection, with plasma CXCL10 and IL-1RA emerging as useful markers. The findings support decentralised diagnostics by validating wearable-derived digital biomarkers alongside plasma biomarkers, though data heterogeneity and limited generalisability remain barriers to clinical implementation.
Mittal et al., International journal of molecular sciences · source ↗
The review describes how continuous glucose monitoring systems are being adopted in Indian diabetes clinics, showing that real-time glucose data improves patient engagement and supports evidence-based decisions. For decentralised diagnostics, this demonstrates the practical value of patient-centric wearable sensors in routine care and emphasises that training and communication are critical for successful implementation.
Kesavadev et al., Therapeutic advances in endocrinology and metabolism · source ↗
Decentralised monitoring of people with type 2 diabetes using continuous glucose monitoring and a hybrid smartwatch was feasible, with high participant retention and successful collection of glucose, heart rate, activity, sleep and GPS data via a study app.
Ali et al., Journal of diabetes science and technology (paywalled) · source ↗
Post-menopausal women showed higher fasting glucose, HbA1c and inflammation, along with poorer glycaemic variability and time in range, compared to pre-menopausal women. These findings highlight the value of continuous glucose monitoring in decentralised diagnostics for identifying metabolic risks in mid-life women.