Trial reportJournal of diabetes science and technology2009
Noninvasive glucose monitoring: a novel approach.
Trial report in Journal of diabetes science and technology, 2009. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.
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.
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.
Who cites it
16 citing papers in PubMed.
- Noninvasive glucose monitoring: increasing accuracy by combination of multi-technology and multi-sensors.Journal of diabetes science and technology · 2010Trial
- Noninvasive Glucose Sensing In Vivo.Sensors (Basel, Switzerland) · 2023Review
- Selection of Noninvasive Features in Wrist-Based Wearable Sensors to Predict Blood Glucose Concentrations Using Machine Learning Algorithms.Sensors (Basel, Switzerland) · 2022Article
- Is Raman the best strategy towards the development of non-invasive continuous glucose monitoring devices for diabetes management?Frontiers in chemistry · 2022Review
- Study of Two Constraints Impacting Measurements of Human Glycemia Using a Microwave Sensor.Biosensors · 2021Article
- Remote diagnostic and detection of coronavirus disease (COVID-19) system based on intelligent healthcare and internet of things.Results in physics · 2021Article
- Noninvasive Electromagnetic Wave Sensing of Glucose.Sensors (Basel, Switzerland) · 2019Review
- The Progress of Glucose Monitoring-A Review of Invasive to Minimally and Non-Invasive Techniques, Devices and Sensors.Sensors (Basel, Switzerland) · 2019Review
- In vivo Microscopic Photoacoustic Spectroscopy for Non-Invasive Glucose Monitoring Invulnerable to Skin Secretion Products.Scientific reports · 2018Article
- The accuracy of a non-invasive glucose monitoring device does not depend on clinical characteristics of people with type 2 diabetes mellitus.Journal of drug assessment · 2018Article
- Assessing the Performance of a Noninvasive Glucose Monitor in People with Type 2 Diabetes with Different Demographic Profiles.Journal of diabetes research · 2017Article
- Sensor Monitoring of Physical Activity to Improve Glucose Management in Diabetic Patients: A Review.Sensors (Basel, Switzerland) · 2016Review
- Improved noncontact optical sensor for detection of glucose concentration and indication of dehydration level.Biomedical optics express · 2014Article
- Accuracy of a Novel Noninvasive Multisensor Technology to Estimate Glucose in Diabetic Subjects During Dynamic Conditions.Journal of diabetes science and technology · 2014Article
- Continuous Glucose Monitoring Systems: A Review.Diagnostics (Basel, Switzerland) · 2013Review
- Italian contributions to the development of continuous glucose monitoring sensors for diabetes management.Sensors (Basel, Switzerland) · 2012Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
6 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundThe main concern in noninvasive (NI) glucose measurement is achieving high accuracy readings, although no blood (or other fluid) is involved in the process. Using methods based on different physical properties of a measured object can ensure the independence of each of the readings and therefore improve the validity of the end result. By using a combination of (three) independent technologies-ultrasonic, electromagnetic, and thermal-GlucoTrack presents a unique approach for a real-time, truly NI blood glucose spot measurement.
methodsClinical trials were performed in two stages. Stage 1 was an initial method validation and performance verification of the device. In this stage, 50 type 1 and 2 diabetic patients, as well as healthy subjects, were evaluated with GlucoTrack against Ascensia Elite (Bayer). In the second stage, 85 additional diabetic subjects were evaluated in half and full daytime sessions using a GlucoTrack comparison with HemoCue (Glucose 201+).
resultsA total of 135 subjects were tested during the trial period, producing 793 data pairs. Using Clarke error grid analysis, 92% of the readings fell in the clinically acceptable zones A and B, with 50% in the A zone. Mean and median relative absolute differences were 29.9 and 19.9%, respectively.
conclusionsIntegrating several modalities for NI assessment of glucose level enables more accurate readings, while a possible aberration in one modality is bypassed by the others. The present generation of GlucoTrack gives promising results; however, further improvement of the accuracy of the device is needed.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
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.