Evidence map›Paper›PMID 30781431›Full record

ReviewSensors (Basel, Switzerland)2019

The Progress of Glucose Monitoring-A Review of Invasive to Minimally and Non-Invasive Techniques, Devices and Sensors.

Wilbert Villena Gonzales, Ahmed Toaha Mobashsher, Amin Abbosh

Registry-linked trialAbstract readReview
In one paragraph

Review in Sensors (Basel, Switzerland), 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT04946188 (Non-invasive Monitoring to Translate the Biometric Data of Participants With Diabetes Into Blood Glucose Levels), which is not on this map. Cited by 166 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
166citing papers in PubMed, 3 pooled it
–field-weighted citation impact
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.

NCT04946188 nacompletednot on this mapstarted 2020, after this paper: background citation

Non-invasive Monitoring to Translate the Biometric Data of Participants With Diabetes Into Blood Glucose Levels

TypeinterventionalSponsorScimita Operations Pty Ltd.Ran2020 to 2020Enrolled14ConditionsDiabetes Type 2ArmsOpuz NICGM
3 · Its place in the literature

Who cites it

166 citing papers in PubMed, 3 syntheses or guidelines pooled it.

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  15. Optical convolutional spectrometer.Nature photonics · 2026
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106 more citing papers are in PubMed but not listed here.

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

3 authors.

Wilbert Villena GonzalesSchool of Information Technology and Electrical Engineering, The University of Queensland, St Lucia, Brisbane 4072, Australia. w.villena@uq.edu.au.ORCID 0000-0002-7299-6885
Ahmed Toaha MobashsherSchool of Information Technology and Electrical Engineering, The University of Queensland, St Lucia, Brisbane 4072, Australia. a.mobashsher@uq.edu.au.ORCID 0000-0002-6351-8136
Amin AbboshSchool of Information Technology and Electrical Engineering, The University of Queensland, St Lucia, Brisbane 4072, Australia. a.abbosh@uq.edu.au.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Current glucose monitoring methods for the ever-increasing number of diabetic people around the world are invasive, painful, time-consuming, and a constant burden for the household budget. The non-invasive glucose monitoring technology overcomes these limitations, for which this topic is significantly being researched and represents an exciting and highly sought after market for many companies. This review aims to offer an up-to-date report on the leading technologies for non-invasive (NI) and minimally-invasive (MI) glucose monitoring sensors, devices currently available in the market, regulatory framework for accuracy assessment, new approaches currently under study by representative groups and developers, and algorithm types for signal enhancement and value prediction. The review also discusses the future trend of glucose detection by analyzing the usage of the different bands in the electromagnetic spectrum. The review concludes that the adoption and use of new technologies for glucose detection is unavoidable and closer to become a reality.

Indexed as

AlgorithmsBiosensing TechniquesBlood GlucoseBlood Glucose Self-MonitoringDiabetes MellitusHumansBlood Glucosecontinuous monitoringFDAfluorescenceglucoseISO 15197MARDmetabolic heat conformationminimally-invasivenon-invasiveplasmon resonancespectroscopyultrasound

Identifiers

PMID30781431
PMCPMC6412701

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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.