ReviewSensors (Basel, Switzerland)2020
Review of Non-invasive Glucose Sensing Techniques: Optical, Electrical and Breath Acetone.
Review in Sensors (Basel, Switzerland), 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 66 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
66 citing papers in PubMed, 202 citations in OpenAlex.
- Article
- Review
- Conditional Diffusion-Augmented Cascaded Multi-View Attention BiLSTM for Non-Invasive Blood Glucose Estimation from Photoplethysmography.Bioengineering (Basel, Switzerland) · 2026Article
- Non-Invasive Technologies in Wearable Glucose Monitoring: A Structured Overview for the Future.Biosensors · 2026Review
- Consumer Smartwatch Technology in Health and Performance Research: Validity, Limitations, and Real-World Applications.Sensors (Basel, Switzerland) · 2026Review
- Advances in Electrocardiogram-Based Non-Invasive Blood Glucose Monitoring Technology.Diabetes, obesity & metabolism · 2026Review
- Noninvasive Blood Glucose Monitoring with Machine Learning Enhanced Transmittance Spectroscopy.ACS omega · 2026Article
- Local heating increases skin gas acetone content independent of systemic metabolism.Scientific reports · 2026Article
- Combined Use of Microwave Sensing Technologies and Artificial Intelligence for Biomedical Monitoring and Imaging.Biosensors · 2026Review
- Evolution of Biosensors and Current State-of-the-Art Applications in Diabetes Control.Biosensors · 2026Review
- Label-free differentiation of classical and hypermobile Ehlers-Danlos syndromes using Mueller matrix polarimetry.Biophotonics discovery · 2026Article
- Non invasive blood glucose estimation using green light photoplethysmography and machine learning.Frontiers in digital health · 2026Article
- A Linear and High-Sensitivity Microwave Biosensor on a FR-4 Substrate for Aqueous Glucose Monitoring Using a Concentric Square-Shaped Split-Ring Resonator.Sensors (Basel, Switzerland) · 2025Article
- A Feasibility Study on Noninvasive Blood Glucose Estimation Using Machine Learning Analysis of Near-Infrared Spectroscopy Data.Biosensors · 2025Article
- Validation of Analytical Models for the Development of Non-Invasive Glucose Measurement Devices.Biosensors · 2025Article
- Blood component analysis using mid-infrared photoacoustic spectroscopy based on ultrasound detection: glucose analysis trial.Journal of biomedical optics · 2025Article
- Noninvasive blood glucose monitoring using a dual band microwave sensor with machine learning.Scientific reports · 2025Article
- Exploring the impact of advanced glycation end products on diabetic salivary gland dysfunctions.Glycoconjugate journal · 2025Review
- A Deep Sparse Capsule Network for Non-Invasive Blood Glucose Level Estimation Using a PPG Sensor.Sensors (Basel, Switzerland) · 2025Article
- Non-invasive blood glucose monitoring using PPG signals with various deep learning models and implementation using TinyML.Scientific reports · 2025Article
6 more citing papers are in PubMed but not listed here.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
2 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Annual deaths in the U.S. attributed to diabetes are expected to increase from 280,210 in 2015 to 385,840 in 2030. The increase in the number of people affected by diabetes has made it one of the major public health challenges around the world. Better management of diabetes has the potential to decrease yearly medical costs and deaths associated with the disease. Non-invasive methods are in high demand to take the place of the traditional finger prick method as they can facilitate continuous glucose monitoring. Research groups have been trying for decades to develop functional commercial non-invasive glucose measurement devices. The challenges associated with non-invasive glucose monitoring are the many factors that contribute to inaccurate readings. We identify and address the experimental and physiological challenges and provide recommendations to pave the way for a systematic pathway to a solution. We have reviewed and categorized non-invasive glucose measurement methods based on: (1) the intrinsic properties of glucose, (2) blood/tissue properties and (3) breath acetone analysis. This approach highlights potential critical commonalities among the challenges that act as barriers to future progress. The focus here is on the pertinent physiological aspects, remaining challenges, recent advancements and the sensors that have reached acceptable clinical accuracy.
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.