Evidence map›Paper›PMID 26033921›Full record

ArticleJournal of diabetes science and technology2015

The Development of a Continuous Intravascular Glucose Monitoring Sensor.

Barry C Crane, Nicholas P Barwell, Palepu Gopal, Mannam Gopichand, Timothy Higgs, Tony D James, Christopher M Jones, Alasdair Mackenzie, Krishna Prasad Mulavisala, William Paterson

Open access · bronzeAbstract readComparative Study
In one paragraph

Article in Journal of diabetes science and technology, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 30 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
30citing papers in PubMed, 1 pooled it
5.1field-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

30 citing papers in PubMed, 1 synthesis or guideline pooled it, 61 citations in OpenAlex.

  1. Guideline
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  8. Patient blood management in the ICU: A narrative review of the literature.European journal of anaesthesiology and intensive care · 2022
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  17. Glucose Management Technologies for the Critically Ill.Journal of diabetes science and technology · 2019
    Review
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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

10 authors at 2 institutions in 1 country.

Barry C CraneGlySure Ltd, Abingdon, Oxon, UK bcrane@glysure.com.
Nicholas P BarwellGlySure Ltd, Abingdon, Oxon, UK.
Palepu GopalCare Nampally, Exhibition Grounds Road, Nampally Hyderabad, India.
Mannam GopichandStar Hosptials, Hyderabad, India.
Timothy HiggsContamac Ltd, Saffron Walden, Essex, UK.
Tony D JamesDepartment of Chemistry, University of Bath, Bath, UK.
Christopher M JonesGlySure Ltd, Abingdon, Oxon, UK.
Alasdair MackenzieGlySure Ltd, Abingdon, Oxon, UK.
Krishna Prasad MulavisalaCare Nampally, Exhibition Grounds Road, Nampally Hyderabad, India.
William PatersonGlySure Ltd, Abingdon, Oxon, UK.
Contamac (United Kingdom) · GBUniversity of Bath · GB

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundGlycemic control in hospital intensive care units (ICU) has been the subject of numerous research publications and debate over the past 2 decades. There have been multiple studies showing the benefit of ICU glucose control in reducing both morbidity and mortality. GlySure Ltd has developed a glucose monitor based on a diboronic acid receptor that can continuously measure plasma glucose concentrations directly in a patient's vascular system. The goal of this study was to validate the performance of the GlySure CIGM system in different patient populations.

methodsThe GlySure Continuous Intravascular Glucose Monitoring (CIGM) System was evaluated in both the Cardiac ICU (33 patients) and MICU setting (14 patients). The sensor was placed through a custom CVC and measured the patients' blood glucose concentration every 15 seconds. Comparison blood samples were taken at 2 hourly then 4 hourly intervals and measured on a YSI 2300 STAT Plus or an i-STAT.

resultsConsensus error grid analysis of the data shows that the majority of the data (88.2% Cardiac, and 95.0% MICU) fell within zone A, which is considered to be clinically accurate and all data points fell within zones A and B. The MARD of the Cardiac trial was 9.90% and the MICU trial had a MARD of 7.95%. Data analysis showed no significant differences between data generated from Cardiac and MICU patients or by time or glucose concentration.

conclusionsThe GlySure CIGM System has met the design challenges of measuring intravascular glucose concentrations in critically ill patients with acceptable safety and performance criteria and without disrupting current clinical practice. The accuracy of the data is not affected by the patients' condition.

Indexed as

AdultAgedAged, 80 and overArea Under CurveBlood GlucoseCatheterizationCritical CareDiabetes MellitusEquipment DesignFemaleHospitalizationHumansInfusions, IntravenousIntensive Care UnitsMaleMiddle AgedBlood Glucoseboronic acidcontinuous glucoseintravascular

Identifiers

PMID26033921
PMCPMC4525654
OpenAlexW1872541006

What OpenQuestion 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 OpenQuestion graph.