Synapse
⌘+K
Synapse
PulseExploreClubsResearchersJournals
Instagram
HomeClubsExplore
August 7, 2025Diabetes Care

Continuous Glucose Monitoring Metrics Predict All-Cause Mortality in Diabetes: A Real-world Long-term Study

View Full Paper
Ask AI
Bookmark
Share

Authors

TOT OkunoSMSharon A. MacwanGNGregory J. Norman

Discussion

Loading...

Member takes

Overview

Real-world study finds that continuous glucose monitoring metrics predict all-cause mortality in diabetes, suggesting important health implications.

Key Points

  • Higher mean glucose and time above range correlate with increased 5-year mortality in diabetes patients.
  • Lower time in range associated with higher mortality risk; all associations significant (P ≤ 0.01).
  • Data from 2,752 adults with diabetes analyzed over 5 years using continuous glucose monitoring devices.
  • Findings highlight that glucose variability metrics may provide better mortality risk insights than HbA1c levels.

Cite This Study

Okuno et al. (2025) studied this question.

synapsesocial.com/papers/6895220c9f4f1c896c42960fhttps://doi.org/10.2337/dc25-0716
View Full Paper
Ask AI
Bookmark
Share

Also Consider

Synapse has enriched 5 closely related papers on similar clinical questions. Consider them for comparative context:

  1. 1Continuous Glucose Monitoring Metrics Predict All-cause Mortality in Diabetes, A Real-world Long-term Study2025
  2. 22962-LB: CGM Metrics and Cardiovascular and Mortality Outcomes in Type 2 Diabetes: Data from the GRADE-CGM Substudy2026
  3. 3The Virtual DCCT #3: Relationship of HbA1c and CGM Metrics with Cardiovascular Outcomes.2025
  4. 4Continuous Glucose Monitoring in Insulin-Treated Older Adults With Diabetes and Alzheimer Disease and Related Dementias2025
  5. 52184-P: CGM-Derived Measures in Relation to 10-Year CVD Risk in Adults without Diabetes2026