ArticleDiabetes therapy : research, treatment and education of diabetes and related disorders2021
Improvement in Glucose Regulation Using a Digital Tracker and Continuous Glucose Monitoring in Healthy Adults and Those with Type 2 Diabetes.
Article in Diabetes therapy : research, treatment and education of diabetes and related disorders, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT06864546 (A Participatory Approach to Support Glucose Tolerance Tracking in Real-Life of Patients With Type 2 Diabetes), which is not on this map. Cited by 32 papers, 2 of them syntheses that pooled it.
What it found
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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.
A Participatory Approach to Support Glucose Tolerance Tracking in Real-Life of Patients With Type 2 Diabetes
Who cites it
32 citing papers in PubMed, 2 syntheses or guidelines pooled it, 62 citations in OpenAlex.
- Continuous glucose monitoring in noninsulin-treated type 2 diabetes: A critical review of reported trials with an updated systematic review and meta-analysis of randomised controlled trials.Diabetes, obesity & metabolism · 2025Pooled it
- The Role of Smartwatch Technology in the Provision of Care for Type 1 or 2 Diabetes Mellitus or Gestational Diabetes: Systematic Review.JMIR mHealth and uHealth · 2024Pooled it
- Effect of a Personalized Mobile App on Glucose Control in Adults With Prediabetes and Type 2 Diabetes: Exploratory Pilot Randomized Controlled Trial.JMIR human factors · 2026Trial
- Yellow pea-based pasta's impacts on the salt intake, glycemic parameters and oxidative stress in healthy individuals: a randomized clinical trial.Scientific reports · 2024Trial
- Lifestyle Intervention With Smartphone App and isCGM for People at High Risk of Type 2 Diabetes: Randomized Trial.The Journal of clinical endocrinology and metabolism · 2024Trial
- Dietary Behavior, Physical Activity, and 24-Hour Rhythm Coherence: A Digital Phenotyping Perspective on Vascular and Glycemic Health.Nutrients · 2026Review
- Article
- Continuous Glucose Monitoring for Personalized Nutrition in Real-World Vively App Users: Retrospective Observational Study.JMIR human factors · 2026Observational
- Integration of Continuous Glucose Monitoring With HbAJMIR diabetes · 2026Article
- Glucose360: An Open-Source Python Platform with Event-Based Integration for Continuous Glucose Monitoring Data Analysis.Diabetes technology & therapeutics · 2026Article
- Digital health solutions for chronic disease physical activity management: wearable devices, artificial intelligence, and public health implementation.Frontiers in public health · 2026Review
- Continuous Glucose Monitoring under standardised conditions regarding diet, exercise and stress in Healthy Young People (CGM-HYPE study): An exploratory clinical trial.PLOS digital health · 2025Article
- Characterising the design and methods of continuous glucose monitoring used in behavioural interventions to inform future research in prediabetes.The Lancet. Digital health · 2025Review
- POC Sensor Systems and Artificial Intelligence-Where We Are Now and Where We Are Going?Biosensors · 2025Review
- Weight loss is associated with improved daytime time in range in adults with prediabetes and non-insulin-treated type 2 diabetes undergoing dietary intervention.Diabetic medicine : a journal of the British Diabetic Association · 2025Article
- A deep learning framework for virtual continuous glucose monitoring and glucose prediction based on life-log data.Scientific reports · 2025Article
- Article
- Examining How Adults With Diabetes Use Technologies to Support Diabetes Self-Management: Mixed Methods Study.JMIR diabetes · 2025Article
- Optimizing metabolic health with digital twins.npj aging · 2025Review
- Defining Continuous Glucose Monitor Time in Range in a Large, Community-Based Cohort Without Diabetes.The Journal of clinical endocrinology and metabolism · 2025Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
12 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
introductionWhile continuous glucose monitoring (CGM) has been shown to decrease both hyper- and hypoglycemia in insulin-treated diabetes, its value in non-insulin-treated type 2 diabetes (T2D) and prediabetes is unclear. Studies examining the reduction in hyperglycemia with the use of CGM in non-insulin-treated T2D are limited.
methodsWe investigated the potential benefit of CGM combined with a mobile app that links each individual's glucose tracing to meal composition, heart rate, and physical activity in a cohort of 1022 individuals, ranging from nondiabetic to non-insulin-treated T2D, spanning a wide range of demographic, geographic, and socioeconomic characteristics. The primary endpoint was the change in time in range (TIR), defined as 54-140 mg/dL for healthy and prediabetes, and 54-180 mg/dL for T2D, from the beginning to end of a 10-day period of use of the Freestyle Libre CGM. Logged food intake, physical activity, continuous glucose, and heart rate data were captured by a smartphone-based app that continuously provided feedback to participants, overlaying daily glucose patterns with activity and food intake, including macronutrient breakdown, glycemic load (GL), and glycemic index (GI).
resultsA total of 665 participants meeting eligibility and data requirements were included in the final analysis. Among self-reported nondiabetic participants, CGM identified glucose excursions in the diabetic range among 15% of healthy and 36% of those with prediabetes. In the group as a whole, TIR improved significantly (p < 0.001). Among the 51.4% of participants who improved, TIR increased by an average of 6.4% (p < 0.001). Of those with poor baseline TIR, defined as TIR below comparable A1c thresholds for T2D and prediabetes, 58.3% of T2D and 91.7% of healthy/prediabetes participants improved their TIR by an average of 22.7% and 23.2%, respectively. Predictors of improved response included no prior diagnosis of T2D and lower BMI.
conclusionsThese results indicate that 10-day use of CGM as a part of multimodal data collection, with synthesis and feedback to participants provided by a mobile health app, can significantly reduce hyperglycemia in non-insulin-treated individuals, including those with early stages of glucose dysregulation.
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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.