ReviewBiosensors2018
Calibration of Minimally Invasive Continuous Glucose Monitoring Sensors: State-of-The-Art and Current Perspectives.
Review in Biosensors, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 37 papers, 1 of them a synthesis that pooled 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.
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
37 citing papers in PubMed, 1 synthesis or guideline pooled it, 112 citations in OpenAlex.
- Continuous glucose monitoring in type 2 diabetes: a systematic review of barriers and opportunities for care improvement.International journal for quality in health care : journal of the International Society for Quality in Health Care · 2025Pooled it
- Within-Person and Between-Sensor Variability in Continuous Glucose Monitoring Metrics.Clinical chemistry · 2023Trial
- The Associations of Mean Glucose and Time in Range from Continuous Glucose Monitoring with HbA1c in Adults with Type 2 Diabetes.Diabetes technology & therapeutics · 2023Trial
- Challenges of Wearable Biosensors and Ways to Overcome Them.Biosensors · 2026Review
- Glucose levels are associated with mood, but the association is mediated by ratings of metabolic state.EBioMedicine · 2026Observational
- Evaluation of a subcutaneous continuous glucose monitoring system in critically ill neonatal foals.Journal of veterinary internal medicine · 2026Article
- The Role of Calibration Practices in Optimizing Continuous Glucose Monitor Accuracy in Critically Ill Patients.CHEST critical care · 2025Article
- The Convergence of Polymer Science and Predictive Modeling for Noninvasive Glucose Monitoring.Pharmaceutics · 2025Review
- Sensitivity Evaluation of a Dual-Finger Metamaterial Biosensor for Non-Invasive Glycemia Tracking on Multiple Substrates.Sensors (Basel, Switzerland) · 2025Article
- Metabolic Trajectories During Surgical Stress in Patients Undergoing Cardiac Surgery.bioRxiv : the preprint server for biology · 2025Article
- Retained Continuous Glucose Monitor Sensor Wire Fragments Presenting as a Swollen Nodule of the Thigh.JCEM case reports · 2025Article
- Tuning the Localized Microenvironment near a Continuous Glucose Meter to Ensure Monitoring Accuracy and Longevity by Plasma-Induced Grafting Zwitterionic Brushes.ACS sensors · 2024Article
- The role of continuous glucose monitoring in physical activity and nutrition management: perspectives on present and possible uses.Physical activity and nutrition · 2023Article
- Current state of the art and future directions for implantable sensors in medical technology: Clinical needs and engineering challenges.APL bioengineering · 2023Review
- Time in Range in Children with Type 1 Diabetes before and during a Diabetes Camp-A Ceiling Effect?Children (Basel, Switzerland) · 2022Article
- Two-Dimensional TiBiosensors · 2022Article
- Leveraging advances in diabetes technologies in primary care: a narrative review.Annals of medicine · 2021Review
- A review of biomarkers in the context of type 1 diabetes: Biological sensing for enhanced glucose control.Bioengineering & translational medicine · 2021Review
- Continuous Glucose Monitoring in the Hospital.Endocrinology and metabolism (Seoul, Korea) · 2021Review
- Fiber Optic Sensors: A Review for Glucose Measurement.Biosensors · 2021Review
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 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Minimally invasive continuous glucose monitoring (CGM) sensors are wearable medical devices that provide real-time measurement of subcutaneous glucose concentration. This can be of great help in the daily management of diabetes. Most of the commercially available CGM devices have a wire-based sensor, usually placed in the subcutaneous tissue, which measures a "raw" current signal via a glucose-oxidase electrochemical reaction. This electrical signal needs to be translated in real-time to glucose concentration through a calibration process. For such a scope, the first commercialized CGM sensors implemented simple linear regression techniques to fit reference glucose concentration measurements periodically collected by fingerprick. On the one hand, these simple linear techniques required several calibrations per day, with the consequent patient's discomfort. On the other, only a limited accuracy was achieved. This stimulated researchers to propose, over the last decade, more sophisticated algorithms to calibrate CGM sensors, resorting to suitable signal processing, modelling, and machine-learning techniques. This review paper will first contextualize and describe the calibration problem and its implementation in the first generation of CGM sensors, and then present the most recently-proposed calibration algorithms, with a perspective on how these new techniques can influence future CGM products in terms of accuracy improvement and calibration reduction.
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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.