Evidence map›Paper›PMID 39000969›Full record

ArticleSensors (Basel, Switzerland)2024

NIR-Based Electronic Platform for Glucose Monitoring for the Prevention and Control of Diabetes Mellitus.

William Oñate, Edwin Ramos-Zurita, Juan-Pablo Pallo, Santiago Manzano, Paulina Ayala, Marcelo V Garcia

Abstract read
In one paragraph

Article in Sensors (Basel, Switzerland), 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. 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

6 authors.

William OñateCarrera de Electrónica y Automatización, Universidad Politecnica Salesiana (UPS), Quito 170146, Ecuador.ORCID 0000-0001-6982-2502
Edwin Ramos-ZuritaFaculty of Systems, Electronics and Industrial Engineering, Universidad Tecnica de Ambato (UTA), Ambato 180206, Ecuador.ORCID 0009-0008-0869-1738
Juan-Pablo PalloFaculty of Systems, Electronics and Industrial Engineering, Universidad Tecnica de Ambato (UTA), Ambato 180206, Ecuador.ORCID 0000-0002-5705-0004
Santiago ManzanoFaculty of Systems, Electronics and Industrial Engineering, Universidad Tecnica de Ambato (UTA), Ambato 180206, Ecuador.ORCID 0000-0002-3919-7176
Paulina AyalaFaculty of Systems, Electronics and Industrial Engineering, Universidad Tecnica de Ambato (UTA), Ambato 180206, Ecuador.ORCID 0000-0002-6676-1959
Marcelo V GarciaFaculty of Systems, Electronics and Industrial Engineering, Universidad Tecnica de Ambato (UTA), Ambato 180206, Ecuador.ORCID 0000-0002-7138-3913

Funding

Universidad Técnica de Ambato PFISEI32
6 · The paper itself

Abstract

The glucose level in the blood is measured through invasive methods, causing discomfort in the patient, loss of sensitivity in the area where the sample is obtained, and healing problems. This article deals with the design, implementation, and evaluation of a device with an ESP-WROOM-32D microcontroller with the application of near-infrared photospectroscopy technology that uses a diode array that transmits between 830 nm and 940 nm to measure glucose levels in the blood. In addition, the system provides a webpage for the monitoring and control of diabetes mellitus for each patient; the webpage is hosted on a local Linux server with a MySQL database. The tests are conducted on 120 people with an age range of 35 to 85 years; each person undergoes two sample collections with the traditional method and two with the non-invasive method. The developed device complies with the ranges established by the American Diabetes Association: presenting a measurement error margin of close to 3% in relation to traditional blood glucose measurement devices. The purpose of the study is to design and evaluate a device that uses non-invasive technology to measure blood glucose levels. This involves constructing a non-invasive glucometer prototype that is then evaluated in a group of participants with diabetes.

Indexed as

Blood GlucoseBlood Glucose Self-MonitoringDiabetes MellitusAdultAgedAged, 80 and overFemaleHumansMaleMiddle AgedSpectroscopy, Near-InfraredBlood Glucosenear-infrared spectroscopyNIRnon-invasive glucometernon-invasive measurement

Identifiers

PMID39000969
PMCPMC11243983

What OpenQuestion holds

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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.