Evidence map›Paper›PMID 40573478›Full record

ReviewSensors (Basel, Switzerland)2025

Sensor Technologies for Non-Invasive Blood Glucose Monitoring.

Jiale Shi, Raúl Fernández-García, Ignacio Gil

Abstract readReview
In one paragraph

Review in Sensors (Basel, Switzerland), 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing 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

6 citing papers in PubMed.

  1. Review
  2. Article
  3. Review
  4. Article
  5. Review
  6. 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

3 authors.

Jiale ShiDepartment of Electronic Engineering, Universitat Politecnica de Catalunya, 08222 Barcelona, Spain.ORCID 0009-0009-2427-3875
Raúl Fernández-GarcíaDepartment of Electronic Engineering, Universitat Politecnica de Catalunya, 08222 Barcelona, Spain.ORCID 0000-0002-4030-7256
Ignacio GilDepartment of Electronic Engineering, Universitat Politecnica de Catalunya, 08222 Barcelona, Spain.ORCID 0000-0002-7175-5756

Funding

Agencia Estatal de Investigación PID2021-124288OB-I00
6 · The paper itself

Abstract

Diabetes poses a significant global health challenge, underscoring the urgent need for accurate and continuous glucose monitoring technologies. This review provides a comprehensive analysis of both invasive and non-invasive sensor technologies, with a particular focus on antenna-sensors and their working principle. Key aspects, including the selection of substrates and conductive materials, fabrication techniques, and recent advancements in rigid and flexible antenna-sensor designs, are critically evaluated. Notably, textile antenna-sensors are gaining increasing attention due to their potential for seamless integration into daily clothing. Furthermore, the influence of the human body on antenna-sensor performance is examined, emphasizing the importance of human phantom simulation and fabrication for precise modeling and validation. Finally, this review highlights the current technical challenges in the development of flexible antenna-sensors and discusses their transformative potential in enabling next-generation, non-invasive, and patient-centric glucose monitoring solutions.

Indexed as

Biosensing TechniquesBlood GlucoseBlood Glucose Self-MonitoringDiabetes MellitusHumansWireless TechnologyBlood Glucoseantenna-sensorblood glucose leveldiabetesflexiblenon-invasivephantomrigidSARsensor technologiestextile

Identifiers

PMID40573478
PMCPMC12197017

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.