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期刊名:Journal of diabetes science and technology

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ISSN:1932-2968

e-ISSN:1932-2968

IF/分区:3.7/Q2

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共收录本刊相关文章索引3804
Clinical Trial Case Reports Meta-Analysis RCT Review Systematic Review
Classical Article Case Reports Clinical Study Clinical Trial Clinical Trial Protocol Comment Comparative Study Editorial Guideline Letter Meta-Analysis Multicenter Study Observational Study Randomized Controlled Trial Review Systematic Review
David C Klonoff,Richard M Bergenstal,Eda Cengiz et al. David C Klonoff et al.
New methods of continuous glucose monitoring (CGM) data analysis are emerging that are valuable for interpreting CGM patterns and underlying metabolic physiology. These new methods use functional data analysis and artificial intelligence (A...
Linda Ong,Claudine J Lamoth,André van Beek et al. Linda Ong et al.
Background: Lifestyle interventions and low glycemic diets have potential in diabetes prevention. However, dietary monitoring relies on self-report, which is prone to under-reporting. This observational study investigated...
Elliott C Pryor,Marcela Moscoso-Vasquez,David Fulkerson et al. Elliott C Pryor et al.
Background: Automated insulin delivery (AID) has revolutionized glucose management. Next-generation AID systems focus on reducing user input, particularly for mealtime dosing, aiming for fully closed loop (FCL) control. O...
Erwin Schleicher,Kuanysh Kabytaev,Matthias Nauck et al. Erwin Schleicher et al.
Background: An impaired β-cell function is a key contributor to the pathophysiology of diabetes mellitus that can be estimated by the biomarker C-peptide. Measurement of C-peptide can therefore be used for prediction, di...
William H Polonsky,Emily C Soriano,Fleur Levrat-Guillen et al. William H Polonsky et al.
Background: Continuous glucose monitoring (CGM) promotes glycemic benefits in adults with type 2 diabetes (T2D), including insulin users as well as noninsulin users, often with minimal professional support. To investigate...
Mohammadreza Ganji,Leela Krishna Chaitanya Koravi,Marc Breton et al. Mohammadreza Ganji et al.
Background: While novel technologies have improved glycemic control in type 1 diabetes (T1D), their design is often glucose-centric and overlooks critical psychobehavioral elements such as individual treatment preferences...