ReviewSensors (Basel, Switzerland)2022
Comprehensive Review on Wearable Sweat-Glucose Sensors for Continuous Glucose Monitoring.
Review in Sensors (Basel, Switzerland), 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT06195566 (Physics Informed Machine Learning-based Prediction and Reversion of Impaired Fasting Glucose Management), which is not on this map. Cited by 84 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.
Physics Informed Machine Learning-based Prediction and Reversion of Impaired Fasting Glucose Management
Who cites it
84 citing papers in PubMed, 289 citations in OpenAlex.
- Antibacterial Ag-PET flexible electrode via silver-mirror reaction with MOF Cu-BTC for sweat uric acid sensing.Analytical and bioanalytical chemistry · 2026Article
- Applications of Wearable Sweat Biosensors in Sports Activities with Real-World Cases.Bioengineering (Basel, Switzerland) · 2026Review
- Hydrophilic PVI-HEA-Based Osmium Redox Polymers for Enhanced Electrochemical Glucose Sensing.Biosensors · 2026Article
- A Critical Review on Covalent Organic Frameworks as Emerging Electrocatalysts for Electrochemical Glucose Sensing.Chemistry, an Asian journal · 2026Review
- Non-Invasive Technologies in Wearable Glucose Monitoring: A Structured Overview for the Future.Biosensors · 2026Review
- Sweat as a diagnostic biofluid: analytical advances and future directions.Journal of pharmaceutical analysis · 2026Review
- Smart label-free SPR biosensing platform for hemoglobin and urine glucose detection via machine learning.Scientific reports · 2026Article
- Flexible wearable medical devices: from material innovations and data processing to intelligent healthcare applications.Journal of advanced research · 2026Review
- Recent Progress in Nanophotonics for Green Energy, Medicine, Healthcare, and Optical Computing Applications.Materials (Basel, Switzerland) · 2026Review
- Article
- Ion‑Mediated Structural Engineering of Hydrogel Interfaces for Tunable Mechanical and Analyte Diffusion Properties in Electrochemical Biosensors.Advanced materials (Deerfield Beach, Fla.) · 2026Article
- Non-enzymatic electrochemical glucose sensing using flexible rGO/AgNW@PANI composite films on nylon substrates.RSC advances · 2026Article
- An All-Soft Wearable Electrochemiluminescence Chip for Sweat Metabolite Detection.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2026Article
- Combined Use of Microwave Sensing Technologies and Artificial Intelligence for Biomedical Monitoring and Imaging.Biosensors · 2026Review
- Sustainable Liquid Metal Composites for Soft Electronics and E-Waste Reduction.Advanced materials (Deerfield Beach, Fla.) · 2026Review
- 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
- Improving non-invasive glucose estimation with monthly calibrated photoplethysmography and implicit HbA1c.Communications medicine · 2025Article
- Band-Pass Raman Spectroscopy Unlocks Compact Point-of-Care Noninvasive Continuous Glucose Monitoring.Analytical chemistry · 2025Article
- Colorimetric and electrochemical assessment of starch based highly sensitive Origami glucose biosensor over fabric: A potentially sensitive substitute of Chitosan.Mikrochimica acta · 2025Article
- Small-Molecule Detection in Biological Fluids: The Emerging Role of Potentiometric Biosensors.International journal of molecular sciences · 2025Review
24 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
4 authors at 2 institutions in 3 countries.
Funding
Abstract
The incidence of diabetes is increasing at an alarming rate, and regular glucose monitoring is critical in order to manage diabetes. Currently, glucose in the body is measured by an invasive method of blood sugar testing. Blood glucose (BG) monitoring devices measure the amount of sugar in a small sample of blood, usually drawn from pricking the fingertip, and placed on a disposable test strip. Therefore, there is a need for non-invasive continuous glucose monitoring, which is possible using a sweat sensor-based approach. As sweat sensors have garnered much interest in recent years, this study attempts to summarize recent developments in non-invasive continuous glucose monitoring using sweat sensors based on different approaches with an emphasis on the devices that can potentially be integrated into a wearable platform. Numerous research entities have been developing wearable sensors for continuous blood glucose monitoring, however, there are no commercially viable, non-invasive glucose monitors on the market at the moment. This review article provides the state-of-the-art in sweat glucose monitoring, particularly keeping in sight the prospect of its commercialization. The challenges relating to sweat collection, sweat sample degradation, person to person sweat amount variation, various detection methods, and their glucose detection sensitivity, and also the commercial viability are thoroughly covered.
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.