Evidence map›Paper›PMID 25652770›Full record

Observational studyCritical care (London, England)2015

Point accuracy and reliability of an interstitial continuous glucose-monitoring device in critically ill patients: a prospective study.

Roosmarijn T M van Hooijdonk, Jan Hendrik Leopold, Tineke Winters, Jan M Binnekade, Nicole P Juffermans, Janneke Horn, Johan C Fischer, Edmée C van Dongen-Lases, Marcus J Schultz

Open access · goldAbstract readComparative StudyObservational StudyValidation Study
In one paragraph

Observational study in Critical care (London, England), 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 22 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
22citing papers in PubMed, 1 pooled it
5.4field-weighted citation impact, top 4% of its field
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

22 citing papers in PubMed, 1 synthesis or guideline pooled it, 39 citations in OpenAlex.

  1. Guideline
  2. Trial
  3. Article
  4. Article
  5. Continuous Glucose Monitoring in the Hospital.Endocrinology and metabolism (Seoul, Korea) · 2021
    Review
  6. Article
  7. Glucose Management Technologies for the Critically Ill.Journal of diabetes science and technology · 2019
    Review
  8. Observational
  9. Review
  10. Review
  11. Article
  12. Article
  13. [Design and implementation of real-time continuous glucose monitoring instrument].Sheng wu yi xue gong cheng xue za zhi = Journal of biomedical engineering = Shengwu yixue gongchengxue zazhi · 2017
    Article
  14. Article
  15. Inpatient Continuous Glucose Monitoring and Glycemic Outcomes.Journal of diabetes science and technology · 2017
    Review
  16. Article
  17. Article
  18. Article
  19. Article
  20. Article
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

9 authors at 2 institutions in 1 country.

Roosmarijn T M van HooijdonkDepartment of Intensive Care, Academic Medical Center, University of Amsterdam, Meibergdreef 9, 1105 AZ, Amsterdam, The Netherlands. r.t.vanhooijdonk@amc.uva.nl.
Jan Hendrik LeopoldDepartment of Intensive Care, Academic Medical Center, University of Amsterdam, Meibergdreef 9, 1105 AZ, Amsterdam, The Netherlands. j.h.leopold@amc.uva.nl.
Tineke WintersDepartment of Intensive Care, Academic Medical Center, University of Amsterdam, Meibergdreef 9, 1105 AZ, Amsterdam, The Netherlands. t.winters@amc.uva.nl.
Jan M BinnekadeDepartment of Intensive Care, Academic Medical Center, University of Amsterdam, Meibergdreef 9, 1105 AZ, Amsterdam, The Netherlands. j.m.binnekade@amc.uva.nl.
Nicole P JuffermansDepartment of Intensive Care, Academic Medical Center, University of Amsterdam, Meibergdreef 9, 1105 AZ, Amsterdam, The Netherlands. n.p.juffermans@amc.uva.nl.
Janneke HornDepartment of Intensive Care, Academic Medical Center, University of Amsterdam, Meibergdreef 9, 1105 AZ, Amsterdam, The Netherlands. j.horn@amc.uva.nl.
Johan C FischerDepartment of Clinical Chemistry, Academic Medical Center, University of Amsterdam, Meibergdreef 9, 1105 AZ, Amsterdam, The Netherlands. j.c.fischer@amc.uva.nl.
Edmée C van Dongen-LasesDepartment of Clinical Chemistry, Academic Medical Center, University of Amsterdam, Meibergdreef 9, 1105 AZ, Amsterdam, The Netherlands. e.c.vandongen-lases@amc.uva.nl.
Marcus J SchultzDepartment of Intensive Care, Academic Medical Center, University of Amsterdam, Meibergdreef 9, 1105 AZ, Amsterdam, The Netherlands. marcus.j.schultz@gmail.com.
University of Amsterdam · NLAcademic Medical Center · NL

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionThere is a need for continuous glucose monitoring in critically ill patients. The objective of this trial was to determine the point accuracy and reliability of a device designed for continuous monitoring of interstitial glucose levels in intensive care unit patients.

methodsWe evaluated point accuracy by comparing device readings with glucose measurements in arterial blood by using blood gas analyzers. Analytical and clinical accuracy was expressed in Bland-Altman plots, glucose prediction errors, and Clarke error grids. We used a linear mixed model to determine which factors affect the point accuracy. In addition, we determined the reliability, including duration of device start-up and calibration, skips in data acquisition, and premature disconnections of sensors.

resultsWe included 50 patients in whom we used 105 sensors. Five patients from whom we could not collect the predefined minimum number of four consecutive comparative blood draws were excluded from the point accuracy analysis. Therefore, we had 929 comparative samples from 100 sensors in 45 patients (11 (7 to 28) samples per patient) during 4,639 hours (46 (27 to 134) hours per patient and 46 (21 to 69) hours per sensor) for the accuracy analysis. Point accuracy did not meet the International Organization for Standardization (ISO) 14971 standard for insulin dosing accuracy but did improve with increasing numbers of calibrations and was better in patients who did not have a history of diabetes. Out of 105 sensors, 60 were removed prematurely for a variety of reasons. The device start-up time was 49 (43 to 58) minutes. The number of skips in data acquisition was low, resulting in availability of real-time data during 95% (89% to 98%) of the connection time per sensor.

conclusionsThe point accuracy of a device designed for continuous real-time monitoring of interstitial glucose levels was relatively low in critically ill patients. The device had few downtimes, but one third of the sensors were removed prematurely because of unresolved sensor- or device-related problems.

trial registrationNetherlands Trial Registry number: NTR3827 . Registered 30 January 2013.

Indexed as

Critical IllnessAgedBlood GlucoseCalibrationFemaleGlucoseHumansHypoglycemic AgentsInsulinIntensive Care UnitsMaleMiddle AgedMonitoring, PhysiologicPoint-of-Care SystemsProspective StudiesReproducibility of ResultsBlood GlucoseGlucoseHypoglycemic AgentsInsulin

Identifiers

PMID25652770
PMCPMC4382831
OpenAlexW1983944923

What OpenQuestion holds

Textmetadata
LicenceCC BY
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 OpenQuestion graph.