Evidence map›Paper›PMID 28476968›Full record

ArticleIET nanobiotechnology2017

Glucose monitoring system using nanopellets.

C Rajasekaran, Madian Nirmala, K B Jayanthi

Open access · greenAbstract readEvaluation Study
In one paragraph

Article in IET nanobiotechnology, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
0.2field-weighted citation impact, top 40% 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

0 citing papers in PubMed, 1 citations in OpenAlex.

No citing paper in PubMed yet.

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 at 1 institution in 1 country.

C RajasekaranDepartment of ECE, K S Rangasamy College of Technology, Tiruchengode, Tamil Nadu, India. raja7ksrct@gmail.com.
Madian NirmalaDepartment of ECE, K S Rangasamy College of Technology, Tiruchengode, Tamil Nadu, India.
K B JayanthiDepartment of ECE, K S Rangasamy College of Technology, Tiruchengode, Tamil Nadu, India.
National Institute of Technology Tiruchirappalli · IN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The combination of the fields of software engineering, gadgets, and science has stood out among the most revolutionary future innovations. Health issues have been the focus of various engaging and explanatory studies. One such health-related dilemma is diabetes. Diabetes at its serious stage results in impaired vision. Increase in the glucose level is a critical parameter that could result in hyperglycaemia, hypoglycaemia, massive heart attack, strokes, and aneurysms. Monitoring the glucose level in blood is one of the control measures for diabetes in the affected population. A glucose monitoring framework interminably measures and screens the glucose level in blood. A novel framework for measuring the glucose level is proposed in this study. This study employs nanopellets that evaluate the glucose level. When the glucose level increases or decreases, it is continuously recorded and displayed using a microcontroller (mixed signal processor (MSP) 430). The data are then sent to the physician through global system for mobile communication. The typical blood glucose level of human being ranges from 70 to 110 mg/dl. When the insulin level builds up to certain point, hyperglycaemia occurs. When decreases, hypoglycaemia occurs. Hyperglycaemia leads to cataracts, oedema, hypertension, polyuria, and polydipsia. Hypoglycaemia causes perplexity, energy, insensateness, coma, and death.

Indexed as

Biosensing TechniquesBlood Glucose Self-MonitoringConductometryElectrodesEquipment DesignEquipment Failure AnalysisGlucoseMetal NanoparticlesReproducibility of ResultsSemiconductorsSensitivity and SpecificitySignal Processing, Computer-AssistedGlucose

Identifiers

PMID28476968
PMCPMC8676587
OpenAlexW2547610040

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.