Factors Affecting Continuous Glucose Monitoring Results: A Meta-Analysis

Abstract

Since its introduction, continuous glucose monitoring (CGM) has achieved good benefits in clinical blood glucose monitoring and self-blood glucose management for diabetic patients. However, during the usage process, there are various interfering factors, among which there are more or less controversial ones. This study evaluated the impact of these factors on the accuracy of continuous glucose monitoring (CGM). A meta-analysis was conducted on a type of observational study that used continuous glucose monitoring (CGM) to monitor blood glucose levels in individuals diagnosed with or undiagnosed for diabetes. A total of 526 articles were retrieved from four electronic databases. By using EndNeto software to exclude ineligible data, 425 articles were eliminated. For the remaining 101 articles, information such as the title, author, and publication year of each document was entered into the system, which automatically identified and excluded 14 duplicate studies. In the end, the remaining 87 articles were carefully reviewed. Of these 87 studies: 17 were animal experiments, 31 involved research on individuals under 18 years old, 14 were missing articles, and 15 were reviews. Ultimately, 11 studies met our requirements for analysis. The results of the heterogeneity test showed that the data was heterogeneous ( χ 2 : 3438.01, I 2 = 99.7%, p = 0.266 > 0.05). Statistical analysis was conducted using the fixed-effect model, and there was no publication bias. It is indicated that with the continuous update of science and technology, fewer and fewer factors that are considered likely to affect the results of continuous dynamic blood glucose monitoring will be reduced and eliminated. As a result, more advanced, convenient, efficient and accurate continuous dynamic blood glucose monitoring methods will benefit humanity. To provide an effective basis for accurately judging the blood glucose levels of diabetic patients, and to offer effective guidance for patients in aspects such as correct exercise, diet control, and pancreatic islet use in blood glucose self-management.