Evidence map›Paper›PMID 31216870›Full record

ArticleJournal of diabetes science and technology2020

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

Lutz Heinemann, Michael Schoemaker, Günther Schmelzeisen-Redecker, Rolf Hinzmann, Adham Kassab, Guido Freckmann, Florian Reiterer, Luigi Del Re

Abstract read
In one paragraph

Article in Journal of diabetes science and technology, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 75 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
75citing papers in PubMed, 1 pooled it
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

75 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
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  6. Article
  7. Article
  8. Review
  9. Review
  10. Optimizing Continuous Glucose Monitoring Adoption in India: From Current Challenges to Future Solutions.Diabetes therapy : research, treatment and education of diabetes and related disorders · 2026
    Review
  11. Article
  12. Article
  13. Article
  14. Article
  15. Observational
  16. Smart closed-loop drug delivery systems.Nature reviews bioengineering · 2025
    Article
  17. Article
  18. Review
  19. Review
  20. Article

15 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

8 authors.

Lutz HeinemannScience & Co, Neuss, Germany.ORCID 0000-0003-2493-1304
Michael SchoemakerRoche Diabetes Care, Mannheim, Germany.
Günther Schmelzeisen-RedeckerRoche Diabetes Care, Mannheim, Germany.ORCID 0000-0001-8915-7044
Rolf HinzmannRoche Diabetes Care, Mannheim, Germany.
Adham KassabmySugr GmbH, Wien, Austria.
Guido FreckmannInstitut für Diabetes-Technologie Forschungs- und Entwicklungsgesellschaft an der Universität Ulm, Ulm, Germany.ORCID 0000-0002-0406-9529
Florian ReitererJohannes Kepler Universität, Linz, Austria.
Luigi Del ReJohannes Kepler Universität, Linz, Austria.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

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.

Indexed as

Biosensing TechniquesBlood GlucoseBlood Glucose Self-MonitoringDiabetes Mellitus, Type 1HumansBlood Glucoseblood glucosecontinuous glucose monitoringdiabetes therapyglucose measurementquality of measurement

Identifiers

PMID31216870
PMCPMC7189145

What Socratic holds

Textmetadata
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the Socratic graph.