2025 · Therapeutic advances in endocrinology and metabolism · open access
Using digital tools to improve diabetes care in India with continuous glucose monitoring
Kesavadev et al.
The finding, in our words
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.
A paraphrase to the Library’s standard, never the abstract. The source is one link away and is always the authority.
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 ↗
A fully remote decentralised clinical trial in Danish adults with type 2 diabetes demonstrated operational feasibility with rapid recruitment, high retention (87 percent), and excellent adherence to continuous glucose monitoring (95 percent achieving ≥70 percent data coverage) and telemedicine visits (97 percent). Activity tracker adherence was poor (12 percent) due to technical issues, but remote safety monitoring was effective with no unexpected adverse events, supporting the viability of remote 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 ↗
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.
This review assesses wearable sensors for the continuous biochemical monitoring of body fluids such as sweat, saliva and interstitial fluid, confirming their potential for decentralised healthcare through pilot trials. It emphasises that successful clinical translation depends on large-scale validation and the integration of ethical and sociocultural considerations.