Mean absolute relative difference: Difference between revisions

From Wikipedia, the free encyclopedia

Content deleted Content added


 

Line 1: Line 1:

{{Short description|Continuous glucose monitor accuracy measure}}

”’Mean Absolute Relative Difference”’ (”’MARD”’) is a standard metric used to evaluate the accuracy of [[Continuous glucose monitor|continuous glucose monitoring systems]],<ref name=”:19″>{{Cite journal |last1=Freckmann |first1=Guido |last2=Mende |first2=Jochen |last3=Pleus |first3=Stefan |last4=Waldenmaier |first4=Delia |last5=Baumstark |first5=Annette |last6=Jendrike |first6=Nina |last7=Haug |first7=Cornelia |date=24 March 2021 |title=Mean Absolute Relative Difference of Blood Glucose Monitoring Systems and Relationship to ISO 15197 |journal=Journal of Diabetes Science and Technology |language=en |volume=16 |issue=5 |pages=1089–1095 |doi=10.1177/19322968211001402 |issn=1932-2968 |pmc=9445334 |pmid=33759584}}</ref> which gives the average amount a CGM sensor reading varies from the actual [[Blood sugar level|blood glucose]].<ref name=”Diatribe-2025″>{{cite web |date=March 24, 2025 |title=Diabetes Technology Highlights from ATTD 2025 |url=https://diatribe.org/diabetes-technology/diabetes-technology-highlights-attd-2025 |accessdate=2025-04-09 |publisher=diaTribe Foundation}}</ref> It is calculated by taking the average of the absolute relative differences between the glucose readings reported by the CGM system and corresponding reference measurements, typically obtained through laboratory analysis or [[Glucose meter|blood glucose meters]].<ref>{{Cite journal |last1=Pleus |first1=Stefan |last2=Stuhr |first2=Andreas |last3=Link |first3=Manuela |last4=Haug |first4=Cornelia |last5=Freckmann |first5=Guido |date=20 February 2021 |title=Variation of Mean Absolute Relative Differences of Continuous Glucose Monitoring Systems Throughout the Day |journal=Journal of Diabetes Science and Technology |language=en |volume=16 |issue=3 |pages=649–658 |doi=10.1177/1932296821992373 |issn=1932-2968 |pmc=9294578 |pmid=33615834}}</ref> A lower MARD value indicates greater accuracy, and it is commonly used in clinical research and regulatory evaluations to compare the performance of different CGM devices. It is also of note that MARD percentages can vary by person, even while using the same device.<ref name=”:19″ />

”’Mean Absolute Relative Difference”’ (”’MARD”’) is a standard metric used to evaluate the accuracy of [[Continuous glucose monitor|continuous glucose monitoring systems]],<ref name=”:19″>{{Cite journal |last1=Freckmann |first1=Guido |last2=Mende |first2=Jochen |last3=Pleus |first3=Stefan |last4=Waldenmaier |first4=Delia |last5=Baumstark |first5=Annette |last6=Jendrike |first6=Nina |last7=Haug |first7=Cornelia |date=24 March 2021 |title=Mean Absolute Relative Difference of Blood Glucose Monitoring Systems and Relationship to ISO 15197 |journal=Journal of Diabetes Science and Technology |language=en |volume=16 |issue=5 |pages=1089–1095 |doi=10.1177/19322968211001402 |issn=1932-2968 |pmc=9445334 |pmid=33759584}}</ref> which gives the average amount a CGM sensor reading varies from the actual [[Blood sugar level|blood glucose]].<ref name=”Diatribe-2025″>{{cite web |date=March 24, 2025 |title=Diabetes Technology Highlights from ATTD 2025 |url=https://diatribe.org/diabetes-technology/diabetes-technology-highlights-attd-2025 |accessdate=2025-04-09 |publisher=diaTribe Foundation}}</ref> It is calculated by taking the average of the absolute relative differences between the glucose readings reported by the CGM system and corresponding reference measurements, typically obtained through laboratory analysis or [[Glucose meter|blood glucose meters]].<ref>{{Cite journal |last1=Pleus |first1=Stefan |last2=Stuhr |first2=Andreas |last3=Link |first3=Manuela |last4=Haug |first4=Cornelia |last5=Freckmann |first5=Guido |date=20 February 2021 |title=Variation of Mean Absolute Relative Differences of Continuous Glucose Monitoring Systems Throughout the Day |journal=Journal of Diabetes Science and Technology |language=en |volume=16 |issue=3 |pages=649–658 |doi=10.1177/1932296821992373 |issn=1932-2968 |pmc=9294578 |pmid=33615834}}</ref> A lower MARD value indicates greater accuracy, and it is commonly used in clinical research and regulatory evaluations to compare the performance of different CGM devices. It is also of note that MARD percentages can vary by person, even while using the same device.<ref name=”:19″ />


Latest revision as of 13:07, 30 September 2025

Continuous glucose monitor accuracy measure

Mean Absolute Relative Difference (MARD) is a standard metric used to evaluate the accuracy of continuous glucose monitoring systems,[1] which gives the average amount a CGM sensor reading varies from the actual blood glucose.[2] It is calculated by taking the average of the absolute relative differences between the glucose readings reported by the CGM system and corresponding reference measurements, typically obtained through laboratory analysis or blood glucose meters.[3] A lower MARD value indicates greater accuracy, and it is commonly used in clinical research and regulatory evaluations to compare the performance of different CGM devices. It is also of note that MARD percentages can vary by person, even while using the same device.[1]

  1. ^ a b Freckmann, Guido; Mende, Jochen; Pleus, Stefan; Waldenmaier, Delia; Baumstark, Annette; Jendrike, Nina; Haug, Cornelia (24 March 2021). “Mean Absolute Relative Difference of Blood Glucose Monitoring Systems and Relationship to ISO 15197”. Journal of Diabetes Science and Technology. 16 (5): 1089–1095. doi:10.1177/19322968211001402. ISSN 1932-2968. PMC 9445334. PMID 33759584.
  2. ^ “Diabetes Technology Highlights from ATTD 2025”. diaTribe Foundation. March 24, 2025. Retrieved 2025-04-09.
  3. ^ Pleus, Stefan; Stuhr, Andreas; Link, Manuela; Haug, Cornelia; Freckmann, Guido (20 February 2021). “Variation of Mean Absolute Relative Differences of Continuous Glucose Monitoring Systems Throughout the Day”. Journal of Diabetes Science and Technology. 16 (3): 649–658. doi:10.1177/1932296821992373. ISSN 1932-2968. PMC 9294578. PMID 33615834.

Leave a Comment

Your email address will not be published. Required fields are marked *

Scroll to Top