Literature DB >> 31216870

Benefits and Limitations of MARD as a Performance Parameter for Continuous Glucose Monitoring in the Interstitial Space.

Lutz Heinemann1, Michael Schoemaker2, Günther Schmelzeisen-Redecker2, Rolf Hinzmann2, Adham Kassab3, Guido Freckmann4, Florian Reiterer5, Luigi Del Re5.   

Abstract

High-quality performance of medical devices for glucose monitoring is important for a safe and efficient usage of this diagnostic option by patients with diabetes. The mean absolute relative difference (MARD) parameter is used most often to characterize the measurement performance of systems for continuous glucose monitoring (CGM). Calculation of this parameter is relatively easy and comparison of the MARD numbers between different CGM systems appears to be straightforward on the first glance. However, a closer look reveals that a number of complex aspects make interpretation of the MARD numbers provided by the manufacturer for their CGM systems difficult. In this review, these aspects are discussed and considerations are made for a systematic and appropriate evaluation of the MARD in clinical trials. The MARD should not be used as the sole parameter to characterize CGM systems, especially when it comes to nonadjunctive usage of such systems.

Entities:  

Keywords:  blood glucose; continuous glucose monitoring; diabetes therapy; glucose measurement; quality of measurement

Mesh:

Substances:

Year:  2019        PMID: 31216870      PMCID: PMC7189145          DOI: 10.1177/1932296819855670

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


  55 in total

1.  Accuracy of the Enlite 6-day glucose sensor with guardian and Veo calibration algorithms.

Authors:  Desmond Barry Keenan; John Joseph Mastrototaro; Howard Zisser; Kenneth A Cooper; Gautham Raghavendhar; Scott W Lee; Jonathan Yusi; Timothy S Bailey; Ronald Leonard Brazg; Rajiv V Shah
Journal:  Diabetes Technol Ther       Date:  2011-12-06       Impact factor: 6.118

2.  Feasibility of adjacent insulin infusion and continuous glucose monitoring via the Medtronic Combo-Set.

Authors:  David N O'Neal; Sumona Adhya; Alicia Jenkins; Glenn Ward; John B Welsh; Gayane Voskanyan
Journal:  J Diabetes Sci Technol       Date:  2013-03-01

3.  Accuracy and acceptability of the 6-day Enlite continuous subcutaneous glucose sensor.

Authors:  Timothy S Bailey; Andrew Ahmann; Ronald Brazg; Mark Christiansen; Satish Garg; Elaine Watkins; John B Welsh; Scott W Lee
Journal:  Diabetes Technol Ther       Date:  2014-04-07       Impact factor: 6.118

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

5.  Performance and acceptability of a combined device for insulin infusion and glucose sensing in the home setting.

Authors:  Kirsten Nørgaard; John Shin; John B Welsh; Hans Gjessing
Journal:  J Diabetes Sci Technol       Date:  2015-01-14

6.  Accuracy of a Factory-Calibrated, Real-Time Continuous Glucose Monitoring System During 10 Days of Use in Youth and Adults with Diabetes.

Authors:  R Paul Wadwa; Lori M Laffel; Viral N Shah; Satish K Garg
Journal:  Diabetes Technol Ther       Date:  2018-06-14       Impact factor: 6.118

7.  Continuous glucose monitoring accuracy results vary between assessment at home and assessment at the clinical research center.

Authors:  Yoeri M Luijf; Angelo Avogaro; Carsten Benesch; Daniela Bruttomesso; Claudio Cobelli; Martin Ellmerer; Lutz Heinemann; Julia K Mader; J Hans DeVries
Journal:  J Diabetes Sci Technol       Date:  2012-09-01

8.  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

9.  A comparative effectiveness analysis of three continuous glucose monitors.

Authors:  Edward R Damiano; Firas H El-Khatib; Hui Zheng; David M Nathan; Steven J Russell
Journal:  Diabetes Care       Date:  2012-12-28       Impact factor: 19.112

10.  Prediction Quality of Glucose Trend Indicators in Two Continuous Tissue Glucose Monitoring Systems.

Authors:  Guido Freckmann; Manuela Link; Antje Westhoff; Ulrike Kamecke; Stefan Pleus; Cornelia Haug
Journal:  Diabetes Technol Ther       Date:  2018-08       Impact factor: 6.118

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  12 in total

Review 1.  Automated insulin dosing systems: Advances after a century of insulin.

Authors:  Hood Thabit; Rayhan Lal; Lalantha Leelarathna
Journal:  Diabet Med       Date:  2021-09-28       Impact factor: 4.359

2.  Accuracy Assessment of the GlucoMen® Day CGM System in Individuals with Type 1 Diabetes: A Pilot Study.

Authors:  Daniel A Hochfellner; Amra Simic; Marlene T Taucher; Lea S Sailer; Julia Kopanz; Tina Pöttler; Julia K Mader
Journal:  Biosensors (Basel)       Date:  2022-02-09

3.  Mean Absolute Relative Difference of Blood Glucose Monitoring Systems and Relationship to ISO 15197.

Authors:  Guido Freckmann; Jochen Mende; Stefan Pleus; Delia Waldenmaier; Annette Baumstark; Nina Jendrike; Cornelia Haug
Journal:  J Diabetes Sci Technol       Date:  2021-03-24

Review 4.  Artificial Pancreas Technology Offers Hope for Childhood Diabetes.

Authors:  Melissa J Schoelwer; Mark D DeBoer
Journal:  Curr Nutr Rep       Date:  2021-01-07

Review 5.  Technology in the management of type 2 diabetes: Present status and future prospects.

Authors:  Aideen Daly; Roman Hovorka
Journal:  Diabetes Obes Metab       Date:  2021-05-20       Impact factor: 6.408

6.  Variation of Mean Absolute Relative Differences of Continuous Glucose Monitoring Systems Throughout the Day.

Authors:  Stefan Pleus; Andreas Stuhr; Manuela Link; Cornelia Haug; Guido Freckmann
Journal:  J Diabetes Sci Technol       Date:  2021-02-20

7.  Adaptive Boosting Based Personalized Glucose Monitoring System (PGMS) for Non-Invasive Blood Glucose Prediction with Improved Accuracy.

Authors:  Pradeep Kumar Anand; Dong Ryeol Shin; Mudasar Latif Memon
Journal:  Diagnostics (Basel)       Date:  2020-05-07

8.  Performance of three different continuous glucose monitoring systems in children with type 1 diabetes during a diabetes summer camp.

Authors:  Katrin Nagl; Gabriele Berger; Felix Aberer; Haris Ziko; Katharina Weimann; Ina Bozic; Birgit Rami-Merhar; Julia K Mader
Journal:  Pediatr Diabetes       Date:  2020-12-04       Impact factor: 4.866

9.  Effects of Acute Resistance Exercise with and without Whole-Body Electromyostimulation and Endurance Exercise on the Postprandial Glucose Regulation in Patients with Type 2 Diabetes Mellitus: A Randomized Crossover Study.

Authors:  Roman Holzer; Benedikt Schulte-Körne; Jan Seidler; Hans-Georg Predel; Christian Brinkmann
Journal:  Nutrients       Date:  2021-11-29       Impact factor: 5.717

Review 10.  Leveraging advances in diabetes technologies in primary care: a narrative review.

Authors:  Bruce Bode; Aaron King; David Russell-Jones; Liana K Billings
Journal:  Ann Med       Date:  2021-12       Impact factor: 4.709

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