Evidence map›Paper›PMID 34207533›Full record

ArticleBiosensors2021

Continuous Non-Invasive Glucose Monitoring via Contact Lenses: Current Approaches and Future Perspectives.

David Bamgboje, Iasonas Christoulakis, Ioannis Smanis, Gaurav Chavan, Rinkal Shah, Masoud Malekzadeh, Ioannis Violaris, Nikolaos Giannakeas, Markos Tsipouras, Konstantinos Kalafatakis and 1 more

Open access · goldAbstract read
In one paragraph

Article in Biosensors, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed
6.0field-weighted citation impact, top 2% 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

10 citing papers in PubMed, 47 citations in OpenAlex.

  1. Review
  2. Article
  3. TiOMicromachines · 2025
    Review
  4. Article
  5. Review
  6. Review
  7. Correlations of Salivary and Blood Glucose Levels among Six Saliva Collection Methods.International journal of environmental research and public health · 2022
    Article
  8. Review
  9. Article
  10. Review
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 3 institutions in 2 countries.

David BamgbojeDepartment of Electrical & Computer Engineering, University of Massachusetts Lowell, Lowell, MA 01854, USA.
Iasonas ChristoulakisDepartment of Informatics and Telecommunications, School of Informatics and Telecommunications, University of Ioannina, 471 00 Arta, Greece.ORCID 0000-0001-8387-806X
Ioannis SmanisDepartment of Electrical & Computer Engineering, University of Massachusetts Lowell, Lowell, MA 01854, USA.
Gaurav ChavanDepartment of Electrical & Computer Engineering, University of Massachusetts Lowell, Lowell, MA 01854, USA.ORCID 0000-0002-8329-2306
Rinkal ShahDepartment of Electrical & Computer Engineering, University of Massachusetts Lowell, Lowell, MA 01854, USA.
Masoud MalekzadehDepartment of Electrical & Computer Engineering, University of Massachusetts Lowell, Lowell, MA 01854, USA.
Ioannis ViolarisDepartment of Electrical and Computer Engineering, University of Western Macedonia, 501 31 Kozani, Greece.
Nikolaos GiannakeasDepartment of Informatics and Telecommunications, School of Informatics and Telecommunications, University of Ioannina, 471 00 Arta, Greece.ORCID 0000-0002-0615-783X
Markos TsipourasDepartment of Electrical and Computer Engineering, University of Western Macedonia, 501 31 Kozani, Greece.
Konstantinos KalafatakisDepartment of Informatics and Telecommunications, School of Informatics and Telecommunications, University of Ioannina, 471 00 Arta, Greece.
Alexandros TzallasDepartment of Informatics and Telecommunications, School of Informatics and Telecommunications, University of Ioannina, 471 00 Arta, Greece.ORCID 0000-0001-9043-1290
University of Massachusetts Lowell · USUniversity of Ioannina · GRUniversity of Western Macedonia · GR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Diabetes mellitus (DM) is a chronic disease that must be carefully managed to prevent serious complications such as cardiovascular disease, retinopathy, nephropathy and neuropathy. Self-monitoring of blood glucose is a crucial tool for managing diabetes and, at present, all relevant procedures are invasive while they only provide periodic measurements. The pain and measurement intermittency associated with invasive techniques resulted in the exploration of painless, continuous, and non-invasive techniques of glucose measurement that would facilitate intensive management. The focus of this review paper is the existing solutions for continuous non-invasive glucose monitoring via contact lenses (CLs) and to carry out a detailed, qualitative, and comparative analysis to inform prospective researchers on viable pathways. Direct glucose monitoring via CLs is contingent on the detection of biomarkers present in the lacrimal fluid. In this review, emphasis is given on two types of sensors: a graphene-AgNW hybrid sensor and an amperometric sensor. Both sensors can detect the presence of glucose in the lacrimal fluid by using the enzyme, glucose oxidase. Additionally, this review covers fabrication procedures for CL biosensors. Ever since Google published the first glucose monitoring embedded system on a CL, CL biosensors have been considered state-of-the-art in the medical device research and development industry. The CL not only has to have a sensory system, it must also have an embedded integrated circuit (IC) for readout and wireless communication. Moreover, to retain mobility and ease of use of the CLs used for continuous glucose monitoring, the power supply to the solid-state IC on such CLs must be wireless. Currently, there are four methods of powering CLs: utilizing solar energy, via a biofuel cell, or by inductive or radiofrequency (RF) power. Although, there are many limitations associated with each method, the limitations common to all, are safety restrictions and CL size limitations. Bearing this in mind, RF power has received most of the attention in reported literature, whereas solar power has received the least attention in the literature. CLs seem a very promising target for cutting edge biotechnological applications of diagnostic, prognostic and therapeutic relevance.

Indexed as

Biosensing TechniquesBlood GlucoseBlood Glucose Self-MonitoringContact LensesDiabetes MellitusGlucoseHumansProspective StudiesBlood GlucoseGlucosebiosensorscontact lensesglucose sensorlow powernon-invasive monitoringwireless health monitoring

Identifiers

PMID34207533
PMCPMC8226956
OpenAlexW3170977445

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.