ReviewJournal of diabetes science and technology2019
A Review of Continuous Glucose Monitoring Data Interpretation in the Age of Automated Insulin Delivery.
Review in Journal of diabetes science and technology, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 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
8 citing papers in PubMed, 18 citations in OpenAlex.
- Molecular Research on Diabetes.International journal of molecular sciences · 2025Article
- Personalization of continuous glucose monitoring system for diabetic patients in the Polish market in 2024.Pediatric endocrinology, diabetes, and metabolism · 2025Review
- Advancing Digital Solutions to Overcome Longstanding Barriers in Asthma and COPD Management.Patient preference and adherence · 2023Review
- Remote Patient Monitoring in Diabetes: How to Acquire, Manage, and Use All of the Data.Diabetes spectrum : a publication of the American Diabetes Association · 2022Article
- Diabetology 4.0: Scoping Review of Novel Insights and Possibilities Offered by Digitalization.Journal of medical Internet research · 2021Article
- Neutral Nonenzymatic Glucose Biosensors Based on Electrochemically Deposited Pt/Au Nanoalloy Electrodes.International journal of nanomedicine · 2021Article
- Time in range-A1c hemoglobin relationship in continuous glucose monitoring of type 1 diabetes: a real-world study.BMJ open diabetes research & care · 2021Article
- Top 10 Tips for Successfully Implementing a Diabetes Telehealth Program.Diabetes technology & therapeutics · 2020Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
3 authors at 1 institution in 1 country.
Funding
Abstract
Using a continuous glucose monitor (CGM) improves glycemic control in patients with type 1 diabetes. The ambulatory glucose profile (AGP) has been recommended as a standard method for reporting CGM data. However, in recently developed automated insulin delivery (AID) systems, a standard format for reporting data has not yet been developed. Instead, reports are specific to each system being used. Currently, the only FDA approved AID system is a hybrid closed-loop insulin pump. In these systems, the patient is still required to announce a meal, respond to alerts, and keep the system in automated insulin delivery. The integrated pump and sensor information provides insights into how the system is performing, and how to make changes to tunable parameters, such as carbohydrate to insulin ratios. The reports also offer a window into human behavior related to performing diabetes tasks, responding to alarms, reasons for exiting HCL, and how glycemic goals are being met. This article reviews the pump and CGM data provided by several of the current closed-loop systems with a focus on systems that are currently approved in the United States (MiniMed™ 670G, Tandem Basal:IQ) and those used by patients using do-it-yourself systems. A step-wise approach to reviewing the nuances of these systems is provided. The comparison may reinforce the importance of the continued need for streamlining a standard report for providers to be able to interpret the CGM data of these systems.
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.