- βLower time in range is consistently linked to higher risk of kidney, eye, and nerve damage in both type 1 and type 2 diabetes
- βCGM metrics like glycemic variability reveal blood sugar control problems that standard HbA1c tests can miss
- βCGM data may enable earlier risk detection and more personalized diabetes management strategies
| Journal | Diabetes, obesity & metabolism |
| Year | 2026 |
| Authors | Anagnostopoulou, Liarakos, Ntanasis-Stathopoulos |
| PMID | 41208627 |
What Was Studied and Why It Matters
Researchers reviewed a growing body of evidence exploring whether data from continuous glucose monitors (CGMs) β the sensors many people with diabetes wear to track blood sugar in real time β can predict the risk of serious long-term complications. Specifically, the review focused on three conditions known as microvascular complications: diabetic kidney disease (nephropathy), eye damage (retinopathy), and nerve damage (neuropathy). These complications affect millions of people living with both type 1 and type 2 diabetes, and catching them early can make a real difference in outcomes.
What the Research Found
The review examined how three key CGM measurements relate to complication risk:
- Time in Range (TIR): The percentage of the day your blood sugar stays within a healthy target zone (typically 70β180 mg/dL). Lower TIR was consistently linked to greater risk and severity of kidney, eye, and nerve damage.
- Glycemic Variability (GV): How much your blood sugar swings up and down throughout the day. Higher variability β even when average levels look acceptable β was associated with worse microvascular outcomes.
- Time in Tight Range (TITR): An even narrower target window. Less time spent in this tighter range also correlated with increased complication risk.
Importantly, these CGM-based measures provided information beyond what a standard HbA1c blood test reveals. Two people can have the same HbA1c yet have very different patterns of blood sugar control β and those patterns appear to matter for long-term health.
Advanced tests like corneal confocal microscopy (which examines tiny nerve fibers in the eye) and sudomotor function testing (which assesses sweat gland nerves) further supported the link between poor CGM metrics and early nerve damage.
What This Means for Real Patients
If you use a CGM β whether a device like a Dexcom, Libre, or another model available through suppliers like MDS Diabetes β your doctor can now look beyond your average glucose reading and examine how stable and well-controlled your blood sugar truly is throughout the day.
Better time in range and less blood sugar swinging may not just make you feel better day-to-day β they may also help protect your kidneys, eyes, and nerves over the long term. Discussing your TIR and variability data with your care team gives them a fuller picture of your glucose health.
That said, the researchers were careful to note important limitations. Most of the studies reviewed were short-term snapshots rather than long-term trials, and we don't yet have definitive proof that improving these CGM metrics directly reduces complication rates. Larger, longer studies are still needed.
Bottom Line
CGM data β especially time in range and glucose variability β appears to be a valuable early warning system for diabetes-related complications affecting the kidneys, eyes, and nerves. While HbA1c remains important, your CGM readings tell a richer story. Talk to your healthcare provider about reviewing your full CGM report at your next visit, and ensure you have consistent access to reliable CGM supplies to keep that data flowing.
