ReviewSensors (Basel, Switzerland)2012
Italian contributions to the development of continuous glucose monitoring sensors for diabetes management.
Review in Sensors (Basel, Switzerland), 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 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
12 citing papers in PubMed, 34 citations in OpenAlex.
- Design of the micropump and mass-transfer compartment of a microfluidic system for regular nonenzymatic glucose measurement.Biotechnology reports (Amsterdam, Netherlands) · 2022Article
- A novel model of early type 1 diabetes mellitus: The chick embryo air sack model.Saudi journal of biological sciences · 2021Article
- Self-template formation of porous CoRSC advances · 2020Article
- Enabling the Internet of Mobile Crowdsourcing Health Things: A Mobile Fog Computing, Blockchain and IoT Based Continuous Glucose Monitoring System for Diabetes Mellitus Research and Care.Sensors (Basel, Switzerland) · 2019Article
- A Personalized Healthcare Monitoring System for Diabetic Patients by Utilizing BLE-Based Sensors and Real-Time Data Processing.Sensors (Basel, Switzerland) · 2018Article
- Effect of acrylodan conjugation and forced oxidation on the structural integrity, conformational stability, and binding activity of a glucose binding protein SM4 used in a prototype continuous glucose monitor.Protein science : a publication of the Protein Society · 2017Article
- Remote Blood Glucose Monitoring in mHealth Scenarios: A Review.Sensors (Basel, Switzerland) · 2016Review
- Designing an artificial pancreas architecture: the AP@home experience.Medical & biological engineering & computing · 2015Article
- Dexcom G4AP: an advanced continuous glucose monitor for the artificial pancreas.Journal of diabetes science and technology · 2013Article
- Physical activity measured by physical activity monitoring system correlates with glucose trends reconstructed from continuous glucose monitoring.Diabetes technology & therapeutics · 2013Article
- Signal processing algorithms implementing the "smart sensor" concept to improve continuous glucose monitoring in diabetes.Journal of diabetes science and technology · 2013Article
- Non-invasive continuous glucose monitoring with multi-sensor systems: a Monte Carlo-based methodology for assessing calibration robustness.Sensors (Basel, Switzerland) · 2013Article
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 at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Monitoring glucose concentration in the blood is essential in the therapy of diabetes, a pathology which affects about 350 million people around the World (three million in Italy), causes more than four million deaths per year and consumes a significant portion of the budget of national health systems (10% in Italy). In the last 15 years, several sensors with different degree of invasiveness have been proposed to monitor glycemia in a quasi-continuous way (up to 1 sample/min rate) for relatively long intervals (up to 7 consecutive days). These continuous glucose monitoring (CGM) sensors have opened new scenarios to assess, off-line, the effectiveness of individual patient therapeutic plans from the retrospective analysis of glucose time-series, but have also stimulated the development of innovative on-line applications, such as hypo/hyper-glycemia alert systems and artificial pancreas closed-loop control algorithms. In this review, we illustrate some significant Italian contributions, both from industry and academia, to the growth of the CGM sensors research area. In particular, technological, algorithmic and clinical developments performed in Italy will be discussed and put in relation with the advances obtained in the field in the wider international research community.
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.