Continuous Glucose Monitoring: Integrating Applied Diabetes Technology in Clinical Practice and Research

Continuous glucose monitoring (CGM) has emerged as a transformative technology within diabetes care, enabling real-time assessment and nuanced understanding of glycemic patterns in individuals living with the disease. CGM plays a central role in the integration of technology into diabetes care. By providing real-time, dynamic insights into glucose trends and fluctuations, CGM empowers both patients and healthcare providers to make informed decisions that enhance glycemic control and reduce the risk of complications. The adoption of CGM serves as a cornerstone for modern diabetes management, facilitating the seamless incorporation of innovative digital tools and fostering a patient-centered approach to care. Despite significant progress in CGM device adoption, optimal strategies for translating CGM data into actionable clinical insights and research outputs remain the subject of intensive investigation. Contemporary debates focus on the reliability of CGM-derived metrics, the best analytic frameworks for large-scale data interpretation, and the tangible impact of CGM utilization on glycemic control and diabetes-related complications. Recent studies have underscored the benefits of CGM in improving patient outcomes, enhancing the management of type 1 and type 2 diabetes, and supporting precision medicine approaches. However, there is still a need to standardize data interpretation, identify methods for integrating CGM into various clinical workflows, and address disparities in access to technology across patient populations.This Research Topic aims to foster a comprehensive dialogue around the clinical and research applications of CGM analysis in diabetes care. It seeks to highlight cutting-edge methodologies, implementation strategies, and comparative studies that assess both effectiveness and practical implications. Key objectives include evaluating new analytical frameworks, exploring integration with digital health tools, and elucidating pathways for maximizing the translational value of CGM data. The Research Topic is intended to stimulate multidisciplinary collaboration and generate actionable recommendations for future practice and investigation.The scope of this Research Topic encompasses innovations in the analysis, deployment, and practical use of CGM data, with attention to both clinical and research environments, while excluding areas unrelated to glycemic monitoring or diabetes care. Submissions may include investigations into methodology, real-world case studies, and technology integration but are not limited to these areas. To gather further insights in CGM application boundaries, we welcome original research articles, reviews, clinical trials, methodological papers, and perspectives articles addressing, but not limited to, the following themes:• Analytical frameworks for CGM data interpretation• Implementation strategies for CGM in clinical practice• Integrating Applied Diabetes Technology through CGM • CGM and insulin therapy monitoring with connected technology• Studies on comparative effectiveness across diabetes populations• Integration of CGM with digital health platforms and telemedicine• Methodological advancements in CGM-based research• Clinical trial outcomes leveraging CGM analysis• Real-world evidence and case reports on CGM-driven careFernando Gómez-Peralta has taken part in advisory panels for Insulcloud S.L.,Dexcom, Abbott, Sanofi and Novo Nordisk; has received research support from Sanofi, Novo Nordisk, Boehringer Ingelheim Pharmaceuticals and Lilly. Pablo Rodríguez de Vera Gómez has participated in advisory boards for Abbott. Topic editors: Fernando Gomez-Peralta, Pablo Rodríguez De Vera Gómez Source: https://www.frontiersin.org/research-topics/80102/continuous-glucose-monitoring-integrating-applied-diabetes-technology-in-clinical-practice-and-research