Evidence map›Paper›PMID 36408556›Full record

ReviewExperimental biology and medicine (Maywood, N.J.)2023

Is graphene the rock upon which new era continuous glucose monitors could be built?

Eirini Papanikolaou, Yannis V Simos, Konstantinos Spyrou, Eleni I Tzianni, Patra Vezyraki, Konstantinos Tsamis, Michaela Patila, Stelios Tigas, Mamas I Prodromidis, Dimitrios P Gournis and 3 more

Open access · greenAbstract readReview
In one paragraph

Review in Experimental biology and medicine (Maywood, N.J.), 2023. 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
1.0field-weighted citation impact, top 25% 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, 11 citations in OpenAlex.

  1. Article
  2. Review
  3. Article
  4. Article
  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

13 authors at 1 institution in 1 country.

Eirini PapanikolaouDepartment of Physiology, Faculty of Medicine, School of Health Sciences, University of Ioannina, 45110 Ioannina, Greece.
Yannis V SimosDepartment of Physiology, Faculty of Medicine, School of Health Sciences, University of Ioannina, 45110 Ioannina, Greece.ORCID 0000-0003-1764-8906
Konstantinos SpyrouNanomedicine and Nanobiotechnology Research Group, University of Ioannina, 45110 Ioannina, Greece.
Eleni I TzianniLaboratory of Analytical Chemistry, University of Ioannina, 45110 Ioannina, Greece.
Patra VezyrakiDepartment of Physiology, Faculty of Medicine, School of Health Sciences, University of Ioannina, 45110 Ioannina, Greece.
Konstantinos TsamisDepartment of Physiology, Faculty of Medicine, School of Health Sciences, University of Ioannina, 45110 Ioannina, Greece.
Michaela PatilaNanomedicine and Nanobiotechnology Research Group, University of Ioannina, 45110 Ioannina, Greece.
Stelios TigasDepartment of Endocrinology, University of Ioannina, 45110 Ioannina, Greece.
Mamas I ProdromidisLaboratory of Analytical Chemistry, University of Ioannina, 45110 Ioannina, Greece.
Dimitrios P GournisNanomedicine and Nanobiotechnology Research Group, University of Ioannina, 45110 Ioannina, Greece.
Haralambos StamatisNanomedicine and Nanobiotechnology Research Group, University of Ioannina, 45110 Ioannina, Greece.
Dimitrios PeschosDepartment of Physiology, Faculty of Medicine, School of Health Sciences, University of Ioannina, 45110 Ioannina, Greece.
Evangelia DounousiNanomedicine and Nanobiotechnology Research Group, University of Ioannina, 45110 Ioannina, Greece.
University of Ioannina · GR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Diabetes mellitus' (DM) prevalence worldwide is estimated to be around 10% and is expected to rise over the next decades. Monitoring blood glucose levels aims to determine whether glucose targets are met to minimize the risk for the development of symptoms related to high or low blood sugar and avoid long-term diabetes complications. Continuous glucose monitoring (CGMs) systems emerged almost two decades ago and have revolutionized the way diabetes is managed. Especially in Type 1 DM, the combination of a CGM with an insulin pump (known as a closed-loop system or artificial pancreas) allows an autonomous regulation of patients' insulin with minimal intervention from the user. However, there is still an unmet need for high accuracy, precision and repeatability of CGMs. Graphene was isolated in 2004 and found immediately fertile ground in various biomedical applications and devices due to its unique combination of properties including its high electrical conductivity. In the last decade, various graphene family nanomaterials have been exploited for the development of enzymatic and non-enzymatic biosensors to determine glucose in biological fluids, such as blood, sweat, and so on. Although great progress has been achieved in the field, several issues need to be addressed for graphene sensors to become a predominant material in the new era of CGMs.

Indexed as

Diabetes Mellitus, Type 1GraphiteBlood GlucoseBlood Glucose Self-MonitoringGlucoseHumansHypoglycemic AgentsInsulinBlood GlucoseGlucoseGraphiteHypoglycemic AgentsInsulindiabetesenzymaticglucoseGraphenenon-enzymaticsensors

Identifiers

PMID36408556
PMCPMC9989146
OpenAlexW4309513453

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.