Evidence map›Paper›PMID 32313062›Full record

ArticleScientific reports2020

Accuracy and stability of an arterial sensor for glucose monitoring in a porcine model using glucose clamp technique.

Felix Aberer, Verena Theiler-Schwetz, Haris Ziko, Bettina Hausegger, Iris Wiederstein-Grasser, Daniel A Hochfellner, Philipp Eller, Georg Tomberger, Martin Ellmerer, Julia K Mader and 1 more

Open access · goldAbstract read
In one paragraph

Article in Scientific reports, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
0.4field-weighted citation impact, top 36% 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

5 citing papers in PubMed, 9 citations in OpenAlex.

  1. Review
  2. Article
  3. Review
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  5. 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

11 authors at 1 institution in 1 country.

Felix AbererMedical University of Graz, Division of Endocrinology and Diabetology, Department of Internal Medicine, Graz, Austria.
Verena Theiler-SchwetzMedical University of Graz, Division of Endocrinology and Diabetology, Department of Internal Medicine, Graz, Austria.
Haris ZikoMedical University of Graz, Division of Endocrinology and Diabetology, Department of Internal Medicine, Graz, Austria.
Bettina HauseggerMedical University of Graz, Core Facility Experimental Biomodels, Division of Biomedical Research, Graz, Austria.
Iris Wiederstein-GrasserMedical University of Graz, Core Facility Experimental Biomodels, Division of Biomedical Research, Graz, Austria.
Daniel A HochfellnerMedical University of Graz, Core Facility Experimental Biomodels, Division of Biomedical Research, Graz, Austria.
Philipp EllerMedical University of Graz, Intensive Care Unit, Department of Internal Medicine, Graz, Austria.
Georg TombergerBBraun Melsungen AG, Research and Development Site Graz, Graz, Austria.
Martin EllmererBBraun Melsungen AG, Research and Development Site Graz, Graz, Austria.
Julia K MaderMedical University of Graz, Division of Endocrinology and Diabetology, Department of Internal Medicine, Graz, Austria. julia.mader@medunigraz.at.
Vladimir BubaloMedical University of Graz, Core Facility Experimental Biomodels, Division of Biomedical Research, Graz, Austria.
Medical University of Graz · AT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Intravascular glucose sensors have the potential to improve and facilitate glycemic control in critically ill patients and might overcome measurement delay and accuracy issues. This study investigated the accuracy and stability of a biosensor for arterial glucose monitoring tested in a hypo- and hyperglycemic clamp experiment in pigs. 12 sensors were tested over 5 consecutive days in 6 different pigs. Samples of sensor and reference measurement pairs were obtained every 15 minutes. 1337 pairs of glucose values (range 37-458 mg/dl) were available for analysis. The systems met ISO 15197:2013 criteria in 99.2% in total, 100% for glucose <100 mg/dl (n = 414) and 98.8% for glucose ≥100 mg/dl (n = 923). The mean absolute relative difference (MARD) during the entire glycemic range of all sensors was 4.3%. The MARDs within the hypoglycemic (<70 mg/dl), euglycemic (≥70-180 mg/dl) and hyperglycemic glucose ranges (≥180 mg/dl) were 6.1%, 3.6% and 4.7%, respectively. Sensors indicated comparable performance on all days investigated (day 1, 3 and 5). None of the systems showed premature failures. In a porcine model, the performance of the biosensor revealed a promising performance. The transfer of these results into a human setting is the logical next step.

Indexed as

AnimalsArteriesBiosensing TechniquesBlood GlucoseGlucose Clamp TechniqueModels, AnimalMonitoring, PhysiologicReference StandardsSwineBlood Glucose

Identifiers

PMID32313062
PMCPMC7170864
OpenAlexW3017176604

What OpenQuestion holds

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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.