2026 · Diabetes research and clinical practice · paywalled
Continuous glucose monitoring for prediabetes classification in a large real-world cohort: Comparison with HbA1c and fasting plasma glucose
Rákóczi et al.
The finding, in our words
In a cross-sectional analysis of 1,883 participants, continuous glucose monitoring metrics classified prediabetes with modest discrimination (AUC 0.645–0.677), approaching but not matching haemoglobin A1c and fasting plasma glucose. The high discordance between conventional markers, with only 9.5% meeting both criteria, suggests CGM serves best as a complementary tool when laboratory results are discordant.
A paraphrase to the Library’s standard, never the abstract. The source is one link away and is always the authority.
Wearable biochemical monitoring requires a complete measurement chain that integrates quality-controlled biofluid sampling, sensor fusion and metadata capture to convert raw sensor outputs into clinically valid digital biomarkers.
Over-the-counter continuous glucose monitors demonstrated reasonable agreement with overall capillary blood glucose trends in individuals without diabetes, yielding an overall mean absolute relative difference of 12.9%. However, sensor accuracy decreased following carbohydrate consumption, suggesting caution is required when using these devices for diagnostic cut-offs or exact-value monitoring.
Prakash et al., Journal of diabetes science and technology (paywalled) · source ↗
In adults with type 2 diabetes and end-stage kidney failure on haemodialysis, real-time continuous glucose monitoring improved time in glycaemic target range and reduced time above range compared with capillary blood glucose testing, while time below range remained minimal and unchanged. This suggests patient-centric glucose monitoring may benefit this high-risk population, though further studies are needed to confirm these benefits.
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.
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 ↗