.png){kind=icon}
Return
CGM Retrospective Data Analysis
.png){kind=icon}
OA
AI
DOI：10.1089/dia.2015.0281.png)
.png){kind=icon}
.png){kind=icon}
Share.png){kind=icon}
Save
Abstract
En 中文
Continuous glucose monitoring (CGM) has increased in popularity as a daily management tool for people with diabetes and a diagnostic instrument for their healthcare providers. Achieving better clinical outcomes hinges on appropriate analysis and interpretation of data collected by CGM systems. This includes device downloading, qualification of data, and generation of applicable reports. An objectives-based analysis of the reports can yield valuable insight for fine-tuning treatment in several areas, including postprandial glucose patterns, overnight/basal stability, duration of bolus insulin action, timing of (and response to) hypoglycemic episodes, the efficacy of meal and correction insulin doses, and the impact of a variety of lifestyle activities.
AI Summary
Key information extracted from the uploaded paper, including a brief overview, abstract, background, key highlights, visual analysis, and future outlook.
Journal
IF:
6.3
Papers:
2.9K
Citations:
7.5K
Organization
No organization information available
Cited Papers
ShareSaveBeyond Hemoglobin A1c-Need for Additional Markers of Risk for Diabetic Microvascular Complications
PREAI
ShareSaveShareSaveDose-Dependent Delay of the Hypoglycemic Effect of Short-Acting Insulin Analogs in Obese Subjects With Type 2 Diabetes A pharmacokinetic and pharmacodynamic study.png)
DIABETES CAREOAAI
DIABETES CAREIF16.6
OAAIShareSaveShareSave no more
no more