Research Articles
CGM Performance Validation in T1D vs T2D: Key Differences, Methodological Challenges, and Implications for Clinical Research
This article provides a comprehensive analysis of Continuous Glucose Monitor (CGM) performance validation across type 1 (T1D) and type 2 diabetes (T2D) populations.
CGM Accuracy Disparities: A Critical Analysis of Sensor Performance in Hypoglycemia vs. Hyperglycemia
This article provides a comprehensive technical analysis of Continuous Glucose Monitoring (CGM) performance across the glycemic spectrum, with a focus on the clinically significant disparities in accuracy between hypoglycemic and...
Stress Testing CGM Accuracy: Evaluating Sensor Performance During Induced Hyperglycemia and Hypoglycemia
This comprehensive review examines continuous glucose monitor (CGM) performance during controlled glycemic excursions, a critical validation step for device approval and clinical application.
The Hidden Cost of Accuracy: How CGM Overcalibration Accelerates Sensor Performance Degradation and Impacts Clinical Research
This article examines the critical, yet often overlooked, phenomenon of continuous glucose monitor (CGM) performance degradation linked to overcalibration practices.
From Arrows to Action: Decoding CGM Trend Data for Enhanced Clinical Trials and Drug Development
This article provides a comprehensive analysis for researchers, scientists, and drug development professionals on the critical role of Continuous Glucose Monitor (CGM) trend arrows in clinical decision-making and therapeutic development.
Decoding Dawn Phenomenon: Advanced CGM Data Interpretation for Diabetes Drug Development
This article provides a comprehensive framework for researchers and drug development professionals to interpret Continuous Glucose Monitoring (CGM) data for dawn phenomenon patterns.
Beyond the Noise: Avoiding Critical Errors in CGM Data Interpretation and Pattern Recognition for Drug Development
Continuous Glucose Monitoring (CGM) data is pivotal for metabolic drug development, yet common errors in its interpretation can lead to flawed trial endpoints and scientific conclusions.
Beyond the Gaps: Understanding CGM Data Loss in Real-World Research and Its Impact on Clinical Outcomes
This article examines the prevalent issue of data gaps in Continuous Glucose Monitoring (CGM) within real-world clinical studies and trials.
CGM Compression Lows: Decoding Mechanisms, Mitigation Strategies, and Clinical Implications for Diabetes Research
This article provides a comprehensive analysis of the compression low, a critical artifact in Continuous Glucose Monitor (CGM) data.
Compression-Induced Low Glucose Monitoring (CGM) Errors: Mechanisms, Mitigation Strategies, and Implications for Clinical Trials
Continuous Glucose Monitoring (CGM) sensors are vital tools in diabetes research and drug development.