Literature DB >> 26420626

Are Systematic Reviews and Meta-Analyses Appropriate Tools for Assessing Evolving Medical Device Technologies?

David Price1, Claudia Graham1, Christopher G Parkin2, Thomas A Peyser3.   

Abstract

Systematic reviews and meta-analyses (SRMAs) provide unique insights into comparative effectiveness of diabetes treatments. However, use of these analyses may be inappropriate for assessing the value and utility of technologies that involve significant behavioral interventions and encompass rapidly evolving technologies such as real-time continuous glucose monitoring (RT-CGM). The rapid evolution of RT-CGM, compared with the time required for publication of clinical studies used in SRMAs, may preclude differentiation between past and current generations of devices. In addition, the effect of performance and usability differences between the various commercial devices on possible clinical outcomes associated with the devices are often not clearly discussed, and many of the RT-CGM studies assessed in SRMAs do not provide adequate information regarding whether and/or to what degree study subjects and clinicians were trained to use the RT-CGM and utilize the data to adjust therapy. Although numerous clinical studies have shown that the glycemic benefit of RT-CGM is related to the frequency and duration of use, a disproportionate number of RT-CGM studies included in recent SRMAs are based on the results of the intention-to-treat analyses and do not consider this fundamental behavioral component in their conclusions. Given these limitations, the generalizability of SRMA conclusions may be limited, and findings from these reports may significantly underestimate the potential glycemic benefit of current and future devices, posing challenges for coverage and reimbursement. We reviewed the potential limitations of the recent Cochrane Collaboration report on CGM, focusing on the 12 studies that assessed RT-CGM use in adults, children/adolescents or both.
© 2015 Diabetes Technology Society.

Entities:  

Keywords:  CGM; continuous glucose monitoring; meta-analysis; systematic review

Mesh:

Substances:

Year:  2015        PMID: 26420626      PMCID: PMC4773964          DOI: 10.1177/1932296815607863

Source DB:  PubMed          Journal:  J Diabetes Sci Technol        ISSN: 1932-2968


  37 in total

Review 1.  Continuous glucose monitoring.

Authors:  B W Bode; T Battelino
Journal:  Int J Clin Pract Suppl       Date:  2010-02

Review 2.  The evidence base for diabetes technology: appropriate and inappropriate meta-analysis.

Authors:  John C Pickup
Journal:  J Diabetes Sci Technol       Date:  2013-11-01

3.  A clinical trial of the accuracy and treatment experience of the Dexcom G4 sensor (Dexcom G4 system) and Enlite sensor (guardian REAL-time system) tested simultaneously in ambulatory patients with type 1 diabetes.

Authors:  Viktorija Matuleviciene; Jeffrey I Joseph; Mervi Andelin; Irl B Hirsch; Stig Attvall; Aldina Pivodic; Sofia Dahlqvist; David Klonoff; Börje Haraldsson; Marcus Lind
Journal:  Diabetes Technol Ther       Date:  2014-09-18       Impact factor: 6.118

4.  Effectiveness of sensor-augmented insulin-pump therapy in type 1 diabetes.

Authors:  Richard M Bergenstal; William V Tamborlane; Andrew Ahmann; John B Buse; George Dailey; Stephen N Davis; Carol Joyce; Tim Peoples; Bruce A Perkins; John B Welsh; Steven M Willi; Michael A Wood
Journal:  N Engl J Med       Date:  2010-06-29       Impact factor: 91.245

5.  Perceived accuracy in continuous glucose monitoring: understanding the impact on patients.

Authors:  William H Polonsky; Danielle Hessler
Journal:  J Diabetes Sci Technol       Date:  2014-11-10

Review 6.  Real-time continuous glucose monitoring system for treatment of diabetes: a systematic review.

Authors:  L B E A Hoeks; W L Greven; H W de Valk
Journal:  Diabet Med       Date:  2011-04       Impact factor: 4.359

7.  Sensor-augmented pump therapy from the diagnosis of childhood type 1 diabetes: results of the Paediatric Onset Study (ONSET) after 12 months of treatment.

Authors:  O Kordonouri; E Pankowska; B Rami; T Kapellen; R Coutant; R Hartmann; K Lange; M Knip; T Danne
Journal:  Diabetologia       Date:  2010-08-14       Impact factor: 10.122

8.  What are the quality of life-related benefits and losses associated with real-time continuous glucose monitoring? A survey of current users.

Authors:  William H Polonsky; Danielle Hessler
Journal:  Diabetes Technol Ther       Date:  2013-02-21       Impact factor: 6.118

9.  Use of an insulin bolus advisor improves glycemic control in multiple daily insulin injection (MDI) therapy patients with suboptimal glycemic control: first results from the ABACUS trial.

Authors:  Ralph Ziegler; David A Cavan; Iain Cranston; Katharine Barnard; Jacqueline Ryder; Claudia Vogel; Christopher G Parkin; Walter Koehler; Iris Vesper; Bettina Petersen; Matthias A Schweitzer; Robin S Wagner
Journal:  Diabetes Care       Date:  2013-07-30       Impact factor: 19.112

10.  Intensive structured self-monitoring of blood glucose and glycemic control in noninsulin-treated type 2 diabetes: the PRISMA randomized trial.

Authors:  Emanuele Bosi; Marina Scavini; Antonio Ceriello; Domenico Cucinotta; Antonio Tiengo; Raffaele Marino; Erminio Bonizzoni; Francesco Giorgino
Journal:  Diabetes Care       Date:  2013-06-04       Impact factor: 19.112

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  3 in total

Review 1.  Continuous Glucose Monitoring: A Review of Successes, Challenges, and Opportunities.

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

Review 2.  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

Review 3.  The Effectiveness of Virtual Reality in Managing Acute Pain and Anxiety for Medical Inpatients: Systematic Review.

Authors:  Vinayak Smith; Ritesh Rikain Warty; Joel Arun Sursas; Olivia Payne; Amrish Nair; Sathya Krishnan; Fabricio da Silva Costa; Euan Morrison Wallace; Beverley Vollenhoven
Journal:  J Med Internet Res       Date:  2020-11-02       Impact factor: 5.428

  3 in total

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