Literature DB >> 23013201

Use of continuous glucose monitoring as an outcome measure in clinical trials.

Roy W Beck1, Peter Calhoun, Craig Kollman.   

Abstract

OBJECTIVE: Although developed to be a management tool for individuals with diabetes, continuous glucose monitoring (CGM) also has potential value for the assessment of outcomes in clinical studies. We evaluated using CGM as such an outcome measure. RESEARCH DESIGN AND METHODS: Data were analyzed from six previously completed inpatient studies in which both CGM (Freestyle Navigator™ [Abbott Diabetes Care, Alameda, CA] or Guardian(®) [Medtronic, Northridge, CA]) and reference glucose measurements were available. The analyses included 97 days of data from 93 participants with type 1 diabetes (age range, 5-57 years; mean, 18 ± 12 years).
RESULTS: Mean glucose levels per day were similar for the CGM and reference measurements (median, 148 mg/dL vs. 143 mg/dL, respectively; P = 0.92), and the correlation of the two was high (r = 0.89). Similarly, most glycemia metrics showed no significant differences comparing CGM and reference values, except that the nadir glucose tended to be slightly lower and peak glucose slightly higher with reference measurements than CGM measurements (respective median, 59 mg/dL vs. 66 mg/dL [P = 0.05] and 262 mg/dL vs. 257 mg/dL [P = 0.003]) and glucose variability as measured with the coefficient of variation was slightly lower with CGM than reference measurements (respective median, 31% vs. 35%; P<0.001).
CONCLUSIONS: A reasonably high degree of concordance exists when comparing outcomes based on CGM measurements with outcomes based on reference blood glucose measurements. CGM inaccuracy and underestimation of the extremes of hyperglycemia and hypoglycemia can be accounted for in a clinical trial's study design. Thus, in appropriate settings, CGM can be a very meaningful and feasible outcome measure for clinical trials.

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Year:  2012        PMID: 23013201      PMCID: PMC3459006          DOI: 10.1089/dia.2012.0079

Source DB:  PubMed          Journal:  Diabetes Technol Ther        ISSN: 1520-9156            Impact factor:   6.118


  13 in total

1.  Use of subcutaneous interstitial fluid glucose to estimate blood glucose: revisiting delay and sensor offset.

Authors:  Kerstin Rebrin; Norman F Sheppard; Garry M Steil
Journal:  J Diabetes Sci Technol       Date:  2010-09-01

2.  Comparison of the numerical and clinical accuracy of four continuous glucose monitors.

Authors:  Boris Kovatchev; Stacey Anderson; Lutz Heinemann; William Clarke
Journal:  Diabetes Care       Date:  2008-03-13       Impact factor: 19.112

3.  The accuracy of the FreeStyle Navigator continuous glucose monitoring system in children with type 1 diabetes.

Authors:  Darrell M Wilson; Roy W Beck; William V Tamborlane; Mariya J Dontchev; Craig Kollman; Peter Chase; Larry A Fox; Katrina J Ruedy; Eva Tsalikian; Stuart A Weinzimer
Journal:  Diabetes Care       Date:  2007-01       Impact factor: 19.112

4.  Eight-point glucose testing versus the continuous glucose monitoring system in evaluation of glycemic control in type 1 diabetes.

Authors:  Rosanna Fiallo-Scharer
Journal:  J Clin Endocrinol Metab       Date:  2005-03-22       Impact factor: 5.958

5.  The Diabetes Control and Complications Trial (DCCT). Design and methodologic considerations for the feasibility phase. The DCCT Research Group.

Authors: 
Journal:  Diabetes       Date:  1986-05       Impact factor: 9.461

6.  The accuracy of the Guardian RT continuous glucose monitor in children with type 1 diabetes.

Authors: 
Journal:  Diabetes Technol Ther       Date:  2008-08       Impact factor: 6.118

7.  Continuous glucose monitoring and intensive treatment of type 1 diabetes.

Authors:  William V Tamborlane; Roy W Beck; Bruce W Bode; Bruce Buckingham; H Peter Chase; Robert Clemons; Rosanna Fiallo-Scharer; Larry A Fox; Lisa K Gilliam; Irl B Hirsch; Elbert S Huang; Craig Kollman; Aaron J Kowalski; Lori Laffel; Jean M Lawrence; Joyce Lee; Nelly Mauras; Michael O'Grady; Katrina J Ruedy; Michael Tansey; Eva Tsalikian; Stuart Weinzimer; Darrell M Wilson; Howard Wolpert; Tim Wysocki; Dongyuan Xing
Journal:  N Engl J Med       Date:  2008-09-08       Impact factor: 91.245

8.  Effect of continuous glucose monitoring on hypoglycemia in type 1 diabetes.

Authors:  Tadej Battelino; Moshe Phillip; Natasa Bratina; Revital Nimri; Per Oskarsson; Jan Bolinder
Journal:  Diabetes Care       Date:  2011-02-19       Impact factor: 19.112

9.  Overnight closed loop insulin delivery (artificial pancreas) in adults with type 1 diabetes: crossover randomised controlled studies.

Authors:  Roman Hovorka; Kavita Kumareswaran; Julie Harris; Janet M Allen; Daniela Elleri; Dongyuan Xing; Craig Kollman; Marianna Nodale; Helen R Murphy; David B Dunger; Stephanie A Amiel; Simon R Heller; Malgorzata E Wilinska; Mark L Evans
Journal:  BMJ       Date:  2011-04-13

10.  The effect of continuous glucose monitoring in well-controlled type 1 diabetes.

Authors:  Roy W Beck; Irl B Hirsch; Lori Laffel; William V Tamborlane; Bruce W Bode; Bruce Buckingham; Peter Chase; Robert Clemons; Rosanna Fiallo-Scharer; Larry A Fox; Lisa K Gilliam; Elbert S Huang; Craig Kollman; Aaron J Kowalski; Jean M Lawrence; Joyce Lee; Nelly Mauras; Michael O'Grady; Katrina J Ruedy; Michael Tansey; Eva Tsalikian; Stuart A Weinzimer; Darrell M Wilson; Howard Wolpert; Tim Wysocki; Dongyuan Xing
Journal:  Diabetes Care       Date:  2009-05-08       Impact factor: 19.112

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  20 in total

1.  Evaluation of stochastic adjustment for glucose sensor bias during closed-loop insulin delivery.

Authors:  Craig Kollman; Peter Calhoun; John Lum; Werner Sauer; Roy W Beck
Journal:  Diabetes Technol Ther       Date:  2013-11-15       Impact factor: 6.118

2.  Differences for Percentage Times in Glycemic Range Between Continuous Glucose Monitoring and Capillary Blood Glucose Monitoring in Adults with Type 1 Diabetes: Analysis of the REPLACE-BG Dataset.

Authors:  Parizad Avari; Chukwuma Uduku; Daniel George; Pau Herrero; Monika Reddy; Nick Oliver
Journal:  Diabetes Technol Ther       Date:  2019-11-01       Impact factor: 6.118

3.  The Association of Biochemical Hypoglycemia with the Subsequent Risk of a Severe Hypoglycemic Event: Analysis of the DCCT Data Set.

Authors:  Roy W Beck; Richard M Bergenstal; Tonya D Riddlesworth; Craig Kollman
Journal:  Diabetes Technol Ther       Date:  2018-12-21       Impact factor: 6.118

4.  Analysis of continuous glucose monitoring data to assess outpatient closed-loop studies: considerations for different sensors.

Authors:  Tina Maria Mitre; Laurent Legault; Rémi Rabasa-Lhoret; Ahmad Haidar
Journal:  Diabetes Technol Ther       Date:  2014-01-21       Impact factor: 6.118

5.  First Experiences With a Wearable Multisensor Device in a Noninvasive Continuous Glucose Monitoring Study at Home, Part II: The Investigators' View.

Authors:  Mattia Zanon; Martin Mueller; Pavel Zakharov; Mark S Talary; Marc Donath; Werner A Stahel; Andreas Caduff
Journal:  J Diabetes Sci Technol       Date:  2017-11-16

Review 6.  Role of Continuous Glucose Monitoring in Clinical Trials: Recommendations on Reporting.

Authors:  Oliver Schnell; Katharine Barnard; Richard Bergenstal; Emanuele Bosi; Satish Garg; Bruno Guerci; Thomas Haak; Irl B Hirsch; Linong Ji; Shashank R Joshi; Maarten Kamp; Lori Laffel; Chantal Mathieu; William H Polonsky; Frank Snoek; Philip Home
Journal:  Diabetes Technol Ther       Date:  2017-05-22       Impact factor: 6.118

Review 7.  Inpatient Continuous Glucose Monitoring and Glycemic Outcomes.

Authors:  David L Levitt; Kristi D Silver; Elias K Spanakis
Journal:  J Diabetes Sci Technol       Date:  2017-03-14

8.  Reliability of Trained Dogs to Alert to Hypoglycemia in Patients With Type 1 Diabetes.

Authors:  Evan A Los; Katrina L Ramsey; Ines Guttmann-Bauman; Andrew J Ahmann
Journal:  J Diabetes Sci Technol       Date:  2016-08-28

9.  Validation of Time in Range as an Outcome Measure for Diabetes Clinical Trials.

Authors:  Roy W Beck; Richard M Bergenstal; Tonya D Riddlesworth; Craig Kollman; Zhaomian Li; Adam S Brown; Kelly L Close
Journal:  Diabetes Care       Date:  2018-10-23       Impact factor: 19.112

10.  Performance comparison of the medtronic sof-sensor and enlite glucose sensors in inpatient studies of individuals with type 1 diabetes.

Authors:  Peter Calhoun; John Lum; Roy W Beck; Craig Kollman
Journal:  Diabetes Technol Ther       Date:  2013-05-31       Impact factor: 6.118

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