The DOI matches its Crossref record; 81 of the 81 references it cites were found in a registry or an index.
Continuous Glucose Monitoring Sensors for Diabetes Management: A Review of Technologies and Applications
Open accessAbstract
By providing blood glucose (BG) concentration measurements in an almost continuous-time fashion for several consecutive days, wearable minimally-invasive continuous glucose monitoring (CGM) sensors are revolutionizing diabetes management, and are becoming an increasingly adopted technology especially for diabetic individuals requiring insulin administrations. Indeed, by providing glucose real-time insights of BG dynamics and trend, and being equipped with visual and acoustic alarms for hypo- and hyperglycemia, CGM devices have been proved to improve safety and effectiveness of diabetes therapy, reduce hypoglycemia incidence and duration, and decrease glycemic variability. Furthermore, the real-time availability of BG values has been stimulating the realization of new tools to provide patients with decision support to improve insulin dosage tuning and infusion. The aim of this paper is to offer an overview of current literature and future possible developments regarding CGM technologies and applications. In particular, first, we outline the technological evolution of CGM devices through the last 20 years. Then, we discuss about the current use of CGM sensors from patients affected by diabetes, and, we report some works proving the beneficial impact provided by the adoption of CGM. Finally, we review some recent advanced applications for diabetes treatment based on CGM sensors.
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“Indeed, in contrast to SMBG, CGM sensors allow to track glucose dynamics and they ensure prompt detection of even asymptomatic high/low glucose events, which are difficult to capture with SMBG.”
From Advanced Diabetes Management Using Artificial Intelligence and Continuous Glucose Monitoring Sensors (2020) · cites this paper as [10]
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“The use of rtCGM sensors has proved to be very beneficial for glycemic control [10,16,17].”
From Advanced Diabetes Management Using Artificial Intelligence and Continuous Glucose Monitoring Sensors (2020) · cites this paper as [10]
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“Moreover, rtCGM devices provide vibratory or auditory alerts when hypo/hyperglycemic events are detected, i.e., when the glucose concentration measured exceeds pre-set, customizable, thresholds for hypoglycemia and hyperglycemia [10].”
From Advanced Diabetes Management Using Artificial Intelligence and Continuous Glucose Monitoring Sensors (2020) · cites this paper as [10]
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Metadata
- Authors
- Cappon, G., Vettoretti, M., Sparacino, G., & Facchinetti, A.
- Affiliations
- University of Padua (IT)
- Corresponding author
- Facchinetti, Andrea
- Venue
- Diabetes & Metabolism Journal
- Publisher
- Korean Diabetes Association
- Published
- 2019
- Volume
- 43
- Issue
- 4
- Pages
- 383
- ISSN
- 2233-6079 (ISSN-L)
- 2233-6087
- PMC
- PMC6712232
- OpenAlex
- W2964434942
- Cited by
- 477
- References
- 81
- Citations by year
- 2026: 70 · 2025: 105 · 2024: 65 · 2023: 81 · 2022: 65 · 2021: 48 · 2020: 38 · 2019: 4
- FWCI
- 5.97
- Type
- journal article
- Language
- en
- Open access
- gold
- doi.org
- Licence
- Locations
- Diabetes & Metabolism Journal (publishedVersion, cc-by-nc)
- Europe PMC (PubMed Central) (publishedVersion, cc-by-nc)
- PubMed Central (publishedVersion, cc-by-nc)
- PubMed (publishedVersion)
- DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion, cc-by-sa)
- Padua Research Archive (University of Padova) (submittedVersion, cc-by-nc)
- Topics
- Health Sciences › Medicine › Endocrinology, Diabetes and Metabolism › Diabetes Management and Research
- Physical Sciences › Chemistry › Analytical Chemistry › Electrochemical sensors and biosensors
- Health Sciences › Medicine › Endocrinology, Diabetes and Metabolism › Hyperglycemia and glycemic control in critically ill and hospitalized patients
- Keywords
- continuous glucose monitoring, diabetes management, blood glucose monitoring, hypoglycemia, glycemic variability, insulin dose, insulin infusion, decision support, wearable sensors
- MeSH terms
- Wearable Electronic Devices, Adolescent, Adult, Algorithms, Blood Glucose, Child, Child, Preschool, Decision Support Systems, Management, Diabetes Mellitus, Female, Humans, Hyperglycemia, Hypoglycemia, Insulin Infusion Systems, Male, Blood Glucose Self-Monitoring, Young Adult
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