Evidence map›Paper›PMID 33615834›Full record

ArticleJournal of diabetes science and technology2022

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

Stefan Pleus, Andreas Stuhr, Manuela Link, Cornelia Haug, Guido Freckmann

Abstract read
In one paragraph

Article in Journal of diabetes science and technology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

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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

13 citing papers in PubMed.

  1. Article
  2. Review
  3. 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
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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

5 authors.

Stefan PleusInstitut für Diabetes-Technologie, Forschungs- und Entwicklungsgesellschaft mbH an der Universität Ulm, Ulm, Germany.ORCID 0000-0003-4629-7754
Andreas StuhrAscensia Diabetes Care, Parsippany, NJ, USA.
Manuela LinkInstitut für Diabetes-Technologie, Forschungs- und Entwicklungsgesellschaft mbH an der Universität Ulm, Ulm, Germany.
Cornelia HaugInstitut für Diabetes-Technologie, Forschungs- und Entwicklungsgesellschaft mbH an der Universität Ulm, Ulm, Germany.
Guido FreckmannInstitut für Diabetes-Technologie, Forschungs- und Entwicklungsgesellschaft mbH an der Universität Ulm, Ulm, Germany.ORCID 0000-0002-0406-9529

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThere is an increasing use of continuous glucose monitoring (CGM) by people with diabetes. Measurement performance is often characterized by the mean absolute relative difference (MARD). However, MARD is influenced by a number of factors and little is known about whether MARD is stable throughout the day. MATERIAL AND

methodsA total of 24 participants with type 1 diabetes were enrolled in the study. The study was performed for seven in-patient days. Participants wore two CGM systems in parallel and performed additional frequent blood glucose (BG) measurements. On two days, glucose excursions were induced.MARD was calculated between pairs of CGM and BG values, with BG values serving as reference values. ARD values calculated from CGM-BG pairs were grouped by hour of the day. Results were analyzed separately for glucose excursion days and for regular days.

resultsTotal MARDs for the complete study duration were 12.5% ± 3.6% and 13.2% ± 2.4% (

conclusionsAnalytical performance of the two CGM systems, assessed by MARD, was found to vary markedly throughout the day. Activities of daily life likely triggered these variations. An increasing number of CGM users base therapeutic decisions on CGM values, and they should be aware of these variations of performance throughout the day.

Indexed as

Blood Glucose Self-MonitoringDiabetes Mellitus, Type 1Blood GlucoseGlucoseHumansReference ValuesReproducibility of ResultsBlood GlucoseGlucosecircadian rhythmcontinuous glucose monitoringmean absolute relative differencetype 1 diabetes

Identifiers

PMID33615834
PMCPMC9294578

What Socratic holds

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Registered trials

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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.