ArticlePLoS biology2018
Glucotypes reveal new patterns of glucose dysregulation.
Article in PLoS biology, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to 8 registered trials, which are not on this map. Cited by 162 papers, 3 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.
Improving Cognitive-Behavioral and Cardio-Metabolic Health Through Continuous Glucose Monitoring (CGM)
Use of Continuous Glucose Monitoring in Non-Diabetic Population to Compliment Signos Mobile Health Platform: Comprehensive Weight Optimization Program and Customized Lifestyle Modifications
Use of Signos mHealth Platform in Participants With Non-Insulin Dependent Type 2 Diabetes: Weight and Blood Glucose
Exploring Individual Determinants of postpranDIAl Glucose Response in Type 2 diaBEteS to opTimize Therapeutic Strategies With a Personalized Approach (DIABEST)
Impact of Pre-Military Life Experiences/Exposures on Active-Duty Service Members' Psychological Health and Adjustment Over a Marine Battalion Deployment Cycle
A Randomized Controlled Trial Evaluating the Safety and Effectiveness of the Intelligently-Driven Signos System for Personalized Weight Management in Overweight and Obese Adults
CGM Boosted by Artificial Intelligence for Better Glycaemic Control in T2 Diabetes: a Real-life Multicentre Observational Study in Belgium.
Food_i Sense Analytics: Integrando la Inteligencia Artificial Con la monitorización Continua de la Glucosa Para la nutrición de precisión
Who cites it
162 citing papers in PubMed, 3 syntheses or guidelines pooled it.
- Non-Invasive Continuous Glucose Monitoring in Patients Without Diabetes: Use in Cardiovascular Prevention-A Systematic Review.Sensors (Basel, Switzerland) · 2025Pooled it
- The efficacy of using continuous glucose monitoring as a behaviour change tool in populations with and without diabetes: a systematic review and meta-analysis of randomised controlled trials.The international journal of behavioral nutrition and physical activity · 2024Pooled it
- Reducing postprandial glucose in dietary intervention studies and the magnitude of the effect on diabetes-related risk factors: a systematic review and meta-analysis.European journal of nutrition · 2021Pooled it
- The effect of continuous glucose monitoring feedback on glycaemic variability in youth with obesity: A within-participant feasibility study.Pediatric obesity · 2025Trial
- Trial
- Effects of an Extract of the Brown SeaweedMarine drugs · 2023Trial
- Identification of clinically relevant dysglycemia phenotypes based on continuous glucose monitoring data from youth with type 1 diabetes and elevated hemoglobin A1c.Pediatric diabetes · 2019Trial
- Optimizing metabolic health through deep-phenotyping-based personalized nutrition.Nature reviews. Endocrinology · 2026Review
- When Ultra-Processed Foods are Eaten: The Missing Dimension in Exposure Measurement for Obesity Research.Current obesity reports · 2026Review
- GVC-Calc enables large-scale analysis of continuous glucose monitoring data.Nature metabolism · 2026Article
- Interpreting Continuous Glucose Monitoring Through Metabolic Physiology: A Framework for Precision Nutrition in Type 2 Diabetes.Nutrients · 2026Review
- Beyond HbA1c: A CGM-centred three-pillar framework for glycaemic variability in pre-diabetes and type 2 diabetes.Diabetic medicine : a journal of the British Diabetic Association · 2026Review
- Digital phenotyping of CGM engagement reveals distinct glycemic outcomes.PLOS digital health · 2026Article
- Insulin Resistance as a Systemic Metabolic Risk State for Cancer: Mechanisms, Biomarkers, and Prevention.International journal of molecular sciences · 2026Review
- Changes in visceral adiposity, body composition, and cardiometabolic profiles following a supervised mixed exercise program in women with normal-weight obesity and obesity.BMC sports science, medicine & rehabilitation · 2026Article
- The Effect of Hunger on the Likelihood of Glucose Excursions in Adults with Overweight or Obesity: Continuous Glucose Monitoring and Ecological Momentary Assessment Observational Study.JMIR formative research · 2026Observational
- Muscle movement and metabolism: exercise and skeletal muscle as mediators of health-a report from the 26th Annual Harvard Nutrition Obesity Symposium, 2025.The American journal of clinical nutrition · 2026Article
- Do Metrics of Temporal Glycemic Variability Reveal Abnormal Glucose Rates of Change in Type 1 Diabetes?Journal of diabetes science and technology · 2026Article
- Integration of Continuous Glucose Monitoring With HbAJMIR diabetes · 2026Article
- CGM glycemic persistence reflects OGTT dysglycemia.medRxiv : the preprint server for health sciences · 2026Article
102 more citing papers are in PubMed but not listed here.
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Authors and funding
7 authors.
Funding
Abstract
Diabetes is an increasing problem worldwide; almost 30 million people, nearly 10% of the population, in the United States are diagnosed with diabetes. Another 84 million are prediabetic, and without intervention, up to 70% of these individuals may progress to type 2 diabetes. Current methods for quantifying blood glucose dysregulation in diabetes and prediabetes are limited by reliance on single-time-point measurements or on average measures of overall glycemia and neglect glucose dynamics. We have used continuous glucose monitoring (CGM) to evaluate the frequency with which individuals demonstrate elevations in postprandial glucose, the types of patterns, and how patterns vary between individuals given an identical nutrient challenge. Measurement of insulin resistance and secretion highlights the fact that the physiology underlying dysglycemia is highly variable between individuals. We developed an analytical framework that can group individuals according to specific patterns of glycemic responses called "glucotypes" that reveal heterogeneity, or subphenotypes, within traditional diagnostic categories of glucose regulation. Importantly, we found that even individuals considered normoglycemic by standard measures exhibit high glucose variability using CGM, with glucose levels reaching prediabetic and diabetic ranges 15% and 2% of the time, respectively. We thus show that glucose dysregulation, as characterized by CGM, is more prevalent and heterogeneous than previously thought and can affect individuals considered normoglycemic by standard measures, and specific patterns of glycemic responses reflect variable underlying physiology. The interindividual variability in glycemic responses to standardized meals also highlights the personal nature of glucose regulation. Through extensive phenotyping, we developed a model for identifying potential mechanisms of personal glucose dysregulation and built a webtool for visualizing a user-uploaded CGM profile and classifying individualized glucose patterns into glucotypes.
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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 Socratic graph.