Evidence map›Paper›PMID 19885283›Full record

ArticleJournal of diabetes science and technology2008

Statistical approach of assessing the reliability of glucose sensors: the GLYCENSIT procedure.

Tom Van Herpe, Kristiaan Pelckmans, Jos De Brabanter, Frizo Janssens, Bart De Moor, Greet Van den Berghe

Abstract read
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Article in Journal of diabetes science and technology, 2008. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

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0cells of the map it votes in
3citing 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

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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

3 citing papers in PubMed.

  1. Article
  2. Blood glucose measurements in critically ill patients.Journal of diabetes science and technology · 2012
    Review
  3. Article
4 · The record

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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

6 authors.

Tom Van HerpeDepartment of Electrical Engineering (ESAT-SCD), Katholieke Universiteit Leuven, Heverlee (Leuven), Belgium. tom.vanherpe@esat.kuleuven.be
Kristiaan Pelckmans
Jos De Brabanter
Frizo Janssens
Bart De Moor
Greet Van den Berghe

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundIn healthcare, patients with diabetes are instructed on how to apply intensified insulin therapy in an optimal manner. Tight blood glucose control is also performed on patients treated in the intensive care unit (ICU). Different blood glucose meters and glucose monitoring systems (GMSs) are used to achieve this goal, and some may lack reliability.

methodsThe GLYCENSIT procedure is a statistical assessment tool we are proposing for evaluating the significant difference of paired glucose measurements. The performance of the GlucoDay system in the ICU is analyzed with GLYCENSIT.

resultsTHE GLYCENSIT ANALYSIS COMPRISES THREE PHASES: testing possible persistent measurement behavior as a function of the glycemic range, testing the number of measurement errors with respect to a standard criterion for binary assessment of glucose sensors, and computing the tolerance intervals that indicate possible test sensor deviations for new observations. The probability of the tolerance intervals directly reflects the number of samples and additionally improves current assessment techniques. The method can be tuned according to the clinician's preferences regarding significance level, tolerance level, and glycemic range cutoff values. The measurement behavior of the GlucoDay sensor is found to be persistent but inaccurate and returns wide tolerance intervals, suggesting that the GlucoDay sensor may not be sufficiently reliable for glycemia control in the ICU.

conclusionsThe GLYCENSIT procedure aims to serve as statistical guide for clinicians in the assessment of glucose sensor devices.

Indexed as

glucose measurementglucose sensor(s)glycemia monitoringsensor validationstandardized evaluationstatistical analysis

Identifiers

PMID19885283
PMCPMC2769813

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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 OpenQuestion graph.