Evidence map›Paper›PMID 36354474›Full record

SynthesisBiosensors2022

A Concise and Systematic Review on Non-Invasive Glucose Monitoring for Potential Diabetes Management.

Soumyasanta Laha, Aditi Rajput, Suvra S Laha, Rohan Jadhav

Abstract readSystematic Review
In one paragraph

Synthesis in Biosensors, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers.

0numbers the graph read from it
0cells of the map it votes in
21citing papers in PubMed
–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.

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

21 citing papers in PubMed.

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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

4 authors.

Soumyasanta LahaDepartment of Electrical and Computer Engineering, California State University, Fresno, Fresno, CA 93740, USA.ORCID 0000-0001-9794-2827
Aditi RajputDepartment of Electrical and Computer Engineering, California State University, Fresno, Fresno, CA 93740, USA.ORCID 0000-0002-6802-9913
Suvra S LahaCentre for Nano Science and Engineering (CeNSE), Indian Institute of Science, Bangalore 560012, India.ORCID 0000-0002-3599-2594
Rohan JadhavDepartment of Public Health, California State University, Fresno, Fresno, CA 93740, USA.ORCID 0000-0002-9000-6654

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The current standard of diabetes management depends upon the invasive blood pricking techniques. In recent times, the availability of minimally invasive continuous glucose monitoring devices have made some improvements in the life of diabetic patients however it has its own limitations which include painful insertion, excessive cost, discomfort and an active risk due to the presence of a foreign body under the skin. Due to all these factors, the non-invasive glucose monitoring has remain a subject of research for the last two decades and multiple techniques of non-invasive glucose monitoring have been proposed. These proposed techniques have the potential to be evolved into a wearable device for non-invasive diabetes management. This paper reviews research advances and major challenges of such techniques or methods in recent years and broadly classifies them into four types based on their detection principles. These four methods are: optical spectroscopy, photoacoustic spectroscopy, electromagnetic sensing and nanomaterial based sensing. The paper primarily focuses on the evolution of non-invasive technology from bench-top equipment to smart wearable devices for personalized non-invasive continuous glucose monitoring in these four methods. With the rapid evolve of wearable technology, all these four methods of non-invasive blood glucose monitoring independently or in combination of two or more have the potential to become a reality in the near future for efficient, affordable, accurate and pain-free diabetes management.

Indexed as

Diabetes MellitusWearable Electronic DevicesBlood GlucoseBlood Glucose Self-MonitoringHumansMonitoring, PhysiologicBlood Glucosediabetes managementelectromagnetic sensingnanomaterialsoptical spectroscopyphotoacoustic spectroscopy

Identifiers

PMID36354474
PMCPMC9688383

What Socratic 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 Socratic graph.