Dunn TC - Search Results

1

Accurate prediction of HbA1c by continuous glucose monitoring using a kinetic model with patient-specific parameters for red blood cell lifespan and glucose uptake.

Xu Y, Hirota Y, Ajjan RA, Yamamoto A, Matsuoka A, Ogawa W, Dunn TC. Xu Y, et al. Among authors: dunn tc. Diab Vasc Dis Res. 2021 May-Jun;18(3):14791641211013734. doi: 10.1177/14791641211013734. Diab Vasc Dis Res. 2021. PMID: 33960242 Free PMC article.

2

Impact of glucose measurement processing delays on clinical accuracy and relevance.

Jangam SR, Hayter G, Dunn TC. Jangam SR, et al. Among authors: dunn tc. J Diabetes Sci Technol. 2013 May 1;7(3):660-8. doi: 10.1177/193229681300700311. J Diabetes Sci Technol. 2013. PMID: 23759399 Free PMC article.

3

Development of the Likelihood of Low Glucose (LLG) algorithm for evaluating risk of hypoglycemia: a new approach for using continuous glucose data to guide therapeutic decision making.

Dunn TC, Hayter GA, Doniger KJ, Wolpert HA. Dunn TC, et al. J Diabetes Sci Technol. 2014 Jul;8(4):720-30. doi: 10.1177/1932296814532200. Epub 2014 Apr 17. J Diabetes Sci Technol. 2014. PMID: 24876422 Free PMC article.

4

Ambulatory glucose profile analysis of the juvenile diabetes research foundation continuous glucose monitoring dataset-Applications to the pediatric diabetes population.

Forlenza GP, Pyle LL, Maahs DM, Dunn TC. Forlenza GP, et al. Among authors: dunn tc. Pediatr Diabetes. 2017 Nov;18(7):622-628. doi: 10.1111/pedi.12474. Epub 2016 Nov 23. Pediatr Diabetes. 2017. PMID: 27878929 Free PMC article.

5

Real-world flash glucose monitoring patterns and associations between self-monitoring frequency and glycaemic measures: A European analysis of over 60 million glucose tests.

Dunn TC, Xu Y, Hayter G, Ajjan RA. Dunn TC, et al. Diabetes Res Clin Pract. 2018 Mar;137:37-46. doi: 10.1016/j.diabres.2017.12.015. Epub 2017 Dec 24. Diabetes Res Clin Pract. 2018. PMID: 29278709 Free article. Clinical Trial.

6

Evaluating a Glucose-Sensor-Based Tool to Help Clinicians and Adults With Type 1 Diabetes Improve Self-Management Skills.

Toschi E, Fisher L, Wolpert H, Love M, Dunn T, Hayter G. Toschi E, et al. J Diabetes Sci Technol. 2018 Nov;12(6):1143-1151. doi: 10.1177/1932296818791534. Epub 2018 Jul 31. J Diabetes Sci Technol. 2018. PMID: 30060682 Free PMC article.

7

Flash glucose monitoring improves glycemia in higher risk patients: a longitudinal, observational study under real-life settings.

Jangam S, Dunn T, Xu Y, Hayter G, Ajjan RA. Jangam S, et al. BMJ Open Diabetes Res Care. 2019 Mar 25;7(1):e000611. doi: 10.1136/bmjdrc-2018-000611. eCollection 2019. BMJ Open Diabetes Res Care. 2019. PMID: 31114698 Free PMC article.

8

A Kinetic Model for Glucose Levels and Hemoglobin A1c Provides a Novel Tool for Individualized Diabetes Management.

Xu Y, Dunn TC, Ajjan RA. Xu Y, et al. Among authors: dunn tc. J Diabetes Sci Technol. 2021 Mar;15(2):294-302. doi: 10.1177/1932296819897613. Epub 2020 Jan 8. J Diabetes Sci Technol. 2021. PMID: 31910672 Free PMC article.

9

Real-world flash glucose monitoring in Brazil: can sensors make a difference in diabetes management in developing countries?

Calliari LEP, Krakauer M, Vianna AGD, Ram Y, Barbieri DE, Xu Y, Dunn TC. Calliari LEP, et al. Among authors: dunn tc. Diabetol Metab Syndr. 2020 Jan 7;12:3. doi: 10.1186/s13098-019-0513-z. eCollection 2020. Diabetol Metab Syndr. 2020. PMID: 31921360 Free PMC article.

10

Flash glucose monitoring reduces glycemic variability and hypoglycemia: real-world data from Spain.

Gomez-Peralta F, Dunn T, Landuyt K, Xu Y, Merino-Torres JF. Gomez-Peralta F, et al. BMJ Open Diabetes Res Care. 2020 Mar;8(1):e001052. doi: 10.1136/bmjdrc-2019-001052. BMJ Open Diabetes Res Care. 2020. PMID: 32198165 Free PMC article.

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