Literature DB >> 34421204

Type 1 Diabetes Management With Technology: Patterns of Utilization and Effects on Glucose Control Using Real-World Evidence.

Ran Sun1, Imon Banerjee2,3, Shengtian Sang1, Jennifer Joseph1, Jennifer Schneider1, Tina Hernandez-Boussard1,4,5.   

Abstract

This retrospective cohort study evaluated diabetes device utilization and the effectiveness of these devices for newly diagnosed type 1 diabetes. Investigators examined the use of continuous glucose monitoring (CGM) systems, self-monitoring of blood glucose (SMBG), continuous subcutaneous insulin infusion (CSII), and multiple daily injection (MDI) insulin regimens and their effects on A1C. The researchers identified 6,250 patients with type 1 diabetes, of whom 32% used CGM and 37.1% used CSII. A higher adoption rate of either CGM or CSII in newly diagnosed type 1 diabetes was noted among White patients and those with private health insurance. CGM users had lower A1C levels than nonusers (P = 0.039), whereas no difference was noted between CSII users and nonusers (P = 0.057). Furthermore, CGM use combined with CSII yielded lower A1C than MDI regimens plus SMBG (P <0.001).
© 2021 by the American Diabetes Association.

Entities:  

Year:  2021        PMID: 34421204      PMCID: PMC8329015          DOI: 10.2337/cd20-0098

Source DB:  PubMed          Journal:  Clin Diabetes        ISSN: 0891-8929


  25 in total

1.  New "21st Century Cures" Legislation: Speed and Ease vs Science.

Authors:  Aaron S Kesselheim; Jerry Avorn
Journal:  JAMA       Date:  2017-02-14       Impact factor: 56.272

Review 2.  Continuous subcutaneous insulin infusion versus multiple daily injections in individuals with type 1 diabetes: a systematic review and meta-analysis.

Authors:  Khalid Benkhadra; Fares Alahdab; Shrikant U Tamhane; Rozalina G McCoy; Larry J Prokop; Mohammad Hassan Murad
Journal:  Endocrine       Date:  2016-08-01       Impact factor: 3.633

3.  The T1D Exchange clinic registry.

Authors:  Roy W Beck; William V Tamborlane; Richard M Bergenstal; Kellee M Miller; Stephanie N DuBose; Callyn A Hall
Journal:  J Clin Endocrinol Metab       Date:  2012-09-20       Impact factor: 5.958

4.  Assessing Diabetes Care Disparities with Ambulatory Care Quality Measures.

Authors:  Jennifer M Joseph; Pamela Jo Johnson; Douglas R Wholey; Mary L Frederick
Journal:  Health Serv Res       Date:  2014-12-18       Impact factor: 3.402

Review 5.  Continuous Glucose Monitoring: A Review of Recent Studies Demonstrating Improved Glycemic Outcomes.

Authors:  David Rodbard
Journal:  Diabetes Technol Ther       Date:  2017-06       Impact factor: 6.118

6.  Race, socioeconomic status, and treatment center are associated with insulin pump therapy in youth in the first year following diagnosis of type 1 diabetes.

Authors:  Maria H Lin; Crystal G Connor; Katrina J Ruedy; Roy W Beck; Craig Kollman; Bruce Buckingham; Maria J Redondo; Desmond Schatz; Heidi Haro; Joyce M Lee; William V Tamborlane; Jamie R Wood
Journal:  Diabetes Technol Ther       Date:  2013-07-19       Impact factor: 6.118

7.  A randomized clinical trial to assess the efficacy and safety of real-time continuous glucose monitoring in the management of type 1 diabetes in young children aged 4 to <10 years.

Authors:  Nelly Mauras; Roy Beck; Dongyuan Xing; Katrina Ruedy; Bruce Buckingham; Michael Tansey; Neil H White; Stuart A Weinzimer; William Tamborlane; Craig Kollman
Journal:  Diabetes Care       Date:  2011-12-30       Impact factor: 19.112

8.  Diabetes Device Use in Adults With Type 1 Diabetes: Barriers to Uptake and Potential Intervention Targets.

Authors:  Molly L Tanenbaum; Sarah J Hanes; Kellee M Miller; Diana Naranjo; Rachel Bensen; Korey K Hood
Journal:  Diabetes Care       Date:  2016-11-29       Impact factor: 19.112

Review 9.  Advanced Technology in the Management of Diabetes: Which Comes First-Continuous Glucose Monitor or Insulin Pump?

Authors:  Christopher T Martin; Amy B Criego; Anders L Carlson; Richard M Bergenstal
Journal:  Curr Diab Rep       Date:  2019-06-27       Impact factor: 4.810

10.  Automated detection and classification of type 1 versus type 2 diabetes using electronic health record data.

Authors:  Michael Klompas; Emma Eggleston; Jason McVetta; Ross Lazarus; Lingling Li; Richard Platt
Journal:  Diabetes Care       Date:  2012-11-27       Impact factor: 19.112

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