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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
Julia K Mader,Jenise C Wong,Guido Freckmann et al. Julia K Mader et al.
This consensus report evaluates the potential role of continuous glucose monitoring (CGM) in screening for stage 2 type 1 diabetes (T1D). CGM offers a minimally invasive alternative to venous blood testing for detecting dysglycemia, facilit...
Franziska K Bishop,Annette Chmielewski,Jeannine Leverenz et al. Franziska K Bishop et al.
Objective: Develop workflows and billing processes for a Certified Diabetes Care and Education Specialist (CDCES)-led remote patient monitoring (RPM) program to transition the Teamwork, Targets, Technology, and Tight Cont...
Cathy Jones,Amy E Morrison,Grace Grudgings et al. Cathy Jones et al.
Background: Hybrid closed loop (HCL) technology is now standard of care for women with type 1 diabetes in pregnancy in the United Kingdom, but there is minimal evidence to guide HCL use in the preconception period, peripa...
Stefanie Hossmann,Susanne Tan,Julia K Mader et al. Stefanie Hossmann et al.
Incorporating sex-specific factors in diabetes research and treatment is essential for advancing precision medicine. There are critical gaps in understanding and applying sex-related differences. Female-specific diabetes pathophysiology man...
Daniel Hochfellner,Tina Poettler,Michael Schoerghuber et al. Daniel Hochfellner et al.
Background: In critically ill patients, deviations in glucose levels may lead to significant harm to individuals with and without diabetes. Although subcutaneous continuous glucose monitoring (scCGM) has proven beneficial...
Eirik Årsand,Elia Gabarron,Pietro Randine Eirik Årsand
Background: Behavioral change strategies are used in mobile health applications to help individuals manage chronic conditions like diabetes. However, there is limited research on user preferences and perceptions regarding...
Tomoki Okuno,Lucas Sort,Bowen Zhang et al. Tomoki Okuno et al.
Background: Achieving optimal glycemic control for persons with diabetes remains difficult. Real-world continuous glucose monitoring (CGM) data can illuminate previously underrecognized glycemic fluctuations. We aimed to ...
Kate Hawke,Maryam Kabootari,Tom Elliott Kate Hawke
Background: The tight glycemia required to optimize type 1 diabetes (T1D) pregnancy outcomes is difficult to achieve with standard insulin therapies. Automated insulin delivery (AID) offers an avenue to improve glycemia, ...