20 articles
CGM technology reveals glucose patterns that could transform diagnosis and treatment across kidney disease, sleep disorders, and more.
Major study shows CGM users had dramatically lower rates of complications and death compared to traditional monitoring methods.
New study shows CGMs improve blood sugar control and birth outcomes compared to traditional glucose testing during pregnancy.
Study reveals CGMs consistently overestimate glycemic responses, potentially misclassifying food glycemic index ratings.
FDA-integrated CGMs provide superior accuracy and safety compared to non-approved devices flooding global markets.
Children who start continuous glucose monitoring within 6 months of type 1 diabetes diagnosis show significantly better glycemic control 3 years later.
CGM data combined with other factors accurately identifies high-risk individuals, enabling earlier intervention strategies.
New study shows CGM metrics better predict diabetic nerve damage in the eye than traditional blood sugar tests alone.
Glycated albumin and fructosamine perform as well as HbA1c for detecting hyperglycemia when compared to continuous glucose monitoring.
Machine learning clusters CGM data into four distinct glycemic patterns, each linked to unique diabetic complication risks.
Case report reveals continuous glucose monitors can trigger anxiety, nausea, and other symptoms when used inappropriately.
New review shows continuous glucose monitors and insulin pumps significantly improve pregnancy outcomes for diabetic mothers.
Framingham Heart Study reveals how carbohydrate quality and overall diet patterns affect continuous glucose fluctuations in 677 adults without diabetes.
Wearable microneedle patches tap interstitial fluid to monitor glucose, lactate, and electrolytes in real time — no needles, no lab.
Each extra hour of sleep reduces glucose variability and extreme excursion risk in healthy adolescents, a real-world CGM study finds.
Comprehensive review reveals hexokinase method as the most precise technique for glucose testing in clinical laboratories.
Machine learning analyzes glucose patterns to identify distinct metabolic subphenotypes in type 2 diabetes patients.
A rigorous MRI-based study finds that repeated hypoglycemia episodes leave brain glucose transport kinetics unchanged, challenging a leading hypothesis.
New review reveals how C-peptide measurement is advancing diabetes care through improved testing methods and clinical applications.
CGM data reveals infants fed corn syrup solid-based formulas show significantly greater glycemic variability than those fed breast milk or lactose-based formula.
