Literature DB >> 28530490

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

Oliver Schnell1, Katharine Barnard2, Richard Bergenstal3, Emanuele Bosi4, Satish Garg5, Bruno Guerci6, Thomas Haak7, Irl B Hirsch8, Linong Ji9, Shashank R Joshi10, Maarten Kamp11, Lori Laffel12, Chantal Mathieu13, William H Polonsky14, Frank Snoek15, Philip Home16.   

Abstract

Thanks to significant improvements in the precision, accuracy, and usability of continuous glucose monitoring (CGM), its relevance in both ambulatory diabetes care and clinical research is increasing. In this study, we address the latter perspective and derive provisional reporting recommendations. CGM systems have been available since around the year 2000 and used primarily in people with type 1 diabetes. In contrast to self-measured glucose, CGM can provide continuous real-time measurement of glucose levels, alerts for hypoglycemia and hyperglycemia, and a detailed assessment of glycemic variability. Through a broad spectrum of derived glucose data, CGM should be a useful tool for clinical evaluation of new glucose-lowering medications and strategies. It is the only technology that can measure hyperglycemic and hypoglycemic exposure in ambulatory care, or provide data for comprehensive assessment of glucose variability. Other advantages of current CGM systems include the opportunity for improved self-management of glycemic control, with particular relevance to those at higher risk of or from hypoglycemia. We therefore summarize the current status and limitations of CGM from the perspective of clinical trials and derive suggested recommendations for how these should facilitate optimal CGM use and reporting of data in clinical research.

Entities:  

Keywords:  CGM; Clinical trials; Recommendation

Mesh:

Substances:

Year:  2017        PMID: 28530490      PMCID: PMC5695750          DOI: 10.1089/dia.2017.0054

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


  53 in total

1.  Clinical Utility of SMBG: Recommendations on the Use and Reporting of SMBG in Clinical Research.

Authors:  Oliver Schnell; Katharine Barnard; Richard Bergenstal; Emanuele Bosi; Satish Garg; Bruno Guerci; Thomas Haak; Irl B Hirsch; Linong Ji; Sashank R Joshi; Maarten Kamp; Lori Laffel; Chantal Mathieu; William H Polonsky; Frank Snoek; Philip Home
Journal:  Diabetes Care       Date:  2015-09       Impact factor: 19.112

2.  Continuous Glucose Monitoring After Gastric Bypass to Evaluate the Glucose Variability After a Low-Carbohydrate Diet and to Determine Hypoglycemia.

Authors:  Joan Bach Nielsen; Caroline Bruun Abild; Ane Mathilde Pedersen; Steen Bønløkke Pedersen; Bjørn Richelsen
Journal:  Obes Surg       Date:  2016-09       Impact factor: 4.129

3.  Improved glycemic control with teneligliptin in patients with type 2 diabetes mellitus on hemodialysis: Evaluation by continuous glucose monitoring.

Authors:  Noritsugu Wada; Katsuhito Mori; Chie Nakagawa; Jun Sawa; Yasuro Kumeda; Tetsuo Shoji; Masanori Emoto; Masaaki Inaba
Journal:  J Diabetes Complications       Date:  2015-07-03       Impact factor: 2.852

4.  Improved Accuracy of Continuous Glucose Monitoring Systems in Pediatric Patients with Diabetes Mellitus: Results from Two Studies.

Authors:  Lori Laffel
Journal:  Diabetes Technol Ther       Date:  2016-02       Impact factor: 6.118

Review 5.  Continuous Glucose Monitoring: A Review of Successes, Challenges, and Opportunities.

Authors:  David Rodbard
Journal:  Diabetes Technol Ther       Date:  2016-02       Impact factor: 6.118

6.  Effect of Acarbose on Glycemic Variability in Patients with Poorly Controlled Type 2 Diabetes Mellitus Receiving Stable Background Therapy: A Placebo-Controlled Trial.

Authors:  Giuseppe Derosa; Ivano Franzetti; Fabrizio Querci; Angela D'Angelo; Pamela Maffioli
Journal:  Pharmacotherapy       Date:  2015-11-02       Impact factor: 4.705

7.  Effect of liraglutide vs. NPH in combination with metformin on blood glucose fluctuations assessed using continuous glucose monitoring in patients with newly diagnosed type 2 diabetes.

Authors:  Zejun Ma; Rui Chen; Yan Liu; Pei Yu; Liming Chen
Journal:  Int J Clin Pharmacol Ther       Date:  2015-11       Impact factor: 1.366

8.  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

9.  Hypoglycemia Prevention and User Acceptance of an Insulin Pump System with Predictive Low Glucose Management.

Authors:  Pratik Choudhary; Birthe S Olsen; Ignacio Conget; John B Welsh; Linda Vorrink; John J Shin
Journal:  Diabetes Technol Ther       Date:  2016-02-23       Impact factor: 6.118

10.  24-hour glycemic variations in drug-naïve patients with type 2 diabetes: a continuous glucose monitoring (CGM)-based study.

Authors:  Kiyotaka Ando; Rimei Nishimura; Daisuke Tsujino; Chiaki Seo; Kazunori Utsunomiya
Journal:  PLoS One       Date:  2013-07-30       Impact factor: 3.240

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  14 in total

1.  Cost-effectiveness of Continuous Glucose Monitoring for Adults With Type 1 Diabetes Compared With Self-Monitoring of Blood Glucose: The DIAMOND Randomized Trial.

Authors:  Wen Wan; M Reza Skandari; Alexa Minc; Aviva G Nathan; Aaron Winn; Parmida Zarei; Michael O'Grady; Elbert S Huang
Journal:  Diabetes Care       Date:  2018-04-12       Impact factor: 19.112

2.  Devoting attention to glucose variability and hypoglycaemia in type 2 diabetes.

Authors:  Martin K Rutter
Journal:  Diabetologia       Date:  2017-09-15       Impact factor: 10.122

3.  Continuous Glucose Monitoring Use in Clinical Trials for On-Market Diabetes Drugs.

Authors:  Bradley Q Fox; Peninah F Benjamin; Ammara Aqeel; Emily Fitts; Spencer Flynn; Brian Levine; Elizaveta Maslak; Rebecca L Milner; Benjamin Ose; Michael Poeschla; Meghna Ray; Maeve Serino; Sahaj S Shah; Kelly L Close
Journal:  Clin Diabetes       Date:  2021-04

Review 4.  Nonsevere Hypoglycemia Episode Clinical and Economic Outcomes: A Comparison between Sulfonylurea and Sodium-Glucose Cotransporter 2 Inhibitor as Add-On to Metformin from a Canadian Perspective.

Authors:  Pendar Farahani
Journal:  Int J Endocrinol       Date:  2018-07-08       Impact factor: 3.257

Review 5.  Reporting of hypoglycaemia in clinical trials of basal insulins: A need for consensus.

Authors:  Brian M Frier; Alexandria Ratzki-Leewing; Stewart B Harris
Journal:  Diabetes Obes Metab       Date:  2019-04-29       Impact factor: 6.577

6.  Redefining Hypoglycemia in Clinical Trials: Validation of Definitions Recently Adopted by the American Diabetes Association/European Association for the Study of Diabetes.

Authors:  Simon R Heller; John B Buse; Robert Ratner; Elizabeth Seaquist; Lars Bardtrum; Charlotte Thim Hansen; Deniz Tutkunkardas; Alan C Moses
Journal:  Diabetes Care       Date:  2019-10-28       Impact factor: 17.152

7.  Vigorous Intervals and Hypoglycemia in Type 1 Diabetes: A Randomized Cross Over Trial.

Authors:  Meaghan Rempel; Jane E Yardley; Andrea MacIntosh; Jacqueline L Hay; Danielle Bouchard; Stephen Cornish; Seth D Marks; Yan Hai; Joseph W Gordon; Jonathan McGavock
Journal:  Sci Rep       Date:  2018-10-26       Impact factor: 4.379

Review 8.  Self-measurement of Blood Glucose and Continuous Glucose Monitoring - Is There Only One Future?

Authors:  Lutz Heinemann; Andreas Stuhr; Adam Brown; Guido Freckmann; Marc D Breton; Steven Russell; Lutz Heinemann
Journal:  Eur Endocrinol       Date:  2018-09-10

Review 9.  Fit-for-Purpose Biometric Monitoring Technologies: Leveraging the Laboratory Biomarker Experience.

Authors:  Alan Godfrey; Benjamin Vandendriessche; Jessie P Bakker; Cheryl Fitzer-Attas; Ninad Gujar; Matthew Hobbs; Qi Liu; Carrie A Northcott; Virginia Parks; William A Wood; Vadim Zipunnikov; John A Wagner; Elena S Izmailova
Journal:  Clin Transl Sci       Date:  2020-08-25       Impact factor: 4.689

10.  GLU: a software package for analysing continuously measured glucose levels in epidemiology.

Authors:  Louise A C Millard; Nashita Patel; Kate Tilling; Melanie Lewcock; Peter A Flach; Debbie A Lawlor
Journal:  Int J Epidemiol       Date:  2020-06-01       Impact factor: 7.196

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