Observational studyJournal of diabetes science and technology2014
Glycemic variability in nondiabetic morbidly obese persons: results of an observational study and review of the literature.
Observational study in Journal of diabetes science and technology, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT04099550 (Effect of Real-time Continuous Glucose Monitoring System in Overweight or Obese Adults With Prediabetes), which is not on this map. Cited by 29 papers, 1 of them a synthesis that pooled it.
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.
Effect of Real-time Continuous Glucose Monitoring System in Overweight or Obese Adults With Prediabetes
Who cites it
29 citing papers in PubMed, 1 synthesis or guideline pooled it, 52 citations in OpenAlex.
- Non-Invasive Continuous Glucose Monitoring in Patients Without Diabetes: Use in Cardiovascular Prevention-A Systematic Review.Sensors (Basel, Switzerland) · 2025Pooled it
- Cruciferous vegetables improve glycaemic control compared to root/squash vegetables in a randomized, controlled, crossover trial: The VEgetableS for vaScular hEaLth (VESSEL) study.Diabetes, obesity & metabolism · 2025Trial
- Visit-to-Visit Glycemic Variability and Risks of Cardiovascular Events and All-Cause Mortality: The ALLHAT Study.Diabetes care · 2019Trial
- Metformin add-on continuous subcutaneous insulin infusion on precise insulin doses in patients with type 2 diabetes.Scientific reports · 2018Trial
- The Comprehensive Glucose Pentagon: A Glucose-Centric Composite Metric for Assessing Glycemic Control in Persons With Diabetes.Journal of diabetes science and technology · 2018Trial
- 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
- Continuous glucose monitoring after discontinuation of incretin-based obesity pharmacotherapy: indirect evidence and a research framework for metabolic stability and weight maintenance.Frontiers in endocrinology · 2026Review
- Age, Sex, BMI, Meal Timing, and Glycemic Response to Meal Glycemic Load.JAMA network open · 2025Article
- Author Response: Glycemic Variability and Outcomes in Sepsis: There's No Smoke without Fire!Indian journal of critical care medicine : peer-reviewed, official publication of Indian Society of Critical Care Medicine · 2025Article
- Glycemic Variability and Outcomes in Sepsis: There's No Smoke without Fire!Indian journal of critical care medicine : peer-reviewed, official publication of Indian Society of Critical Care Medicine · 2025Article
- Are standardized conditions needed for correct CGM data interpretation in subjects at early stages of glucose intolerance?Diabetology & metabolic syndrome · 2025Article
- Continuous Glucose Monitoring for Prediabetes: What Are the Best Metrics?Journal of diabetes science and technology · 2024Review
- Difference on Glucose Profile From Continuous Glucose Monitoring in People With Prediabetes vs. Normoglycemic Individuals: A Matched-Pair Analysis.Journal of diabetes science and technology · 2024Article
- Regimen comprising GLP-1 receptor agonist and basal insulin can decrease the effect of food on glycemic variability compared to a pre-mixed insulin regimen.European journal of medical research · 2022Article
- Continuous glucose monitoring metrics for earlier identification of pre-diabetes: protocol for a systematic review and meta-analysis.BMJ open · 2022Article
- Diet and Physical Activity as Determinants of Continuously Measured Glucose Levels in Persons at High Risk of Type 2 Diabetes.Nutrients · 2022Article
- Cross-Sectional and Individual Relationships between Physical Activity and Glycemic Variability.Translational journal of the American College of Sports Medicine · 2022Article
- Continuous glucose monitoring reveals similar glycemic variability in individuals with obesity despite increased HOMA-IR.Frontiers in nutrition · 2022Article
- Non-invasive wearables for remote monitoring of HbA1c and glucose variability: proof of concept.BMJ open diabetes research & care · 2021Article
- The Beta-Cell Function and Glucose Profile of Newly Diagnosed Acromegalic Patients with Normal Glucose Tolerance.International journal of endocrinology · 2021Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
5 authors at 2 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Glycemic variability (GV) is correlated with oxidative stress which may lead to increased cardiovascular risk and poor clinical outcomes in people with prediabetes and diabetes. We sought to understand whether morbidly obese persons without diabetes by standard criteria have dysglycemia as measured by GV. We performed an observational study of GV metrics and carotid intima media thickness (CIMT) in 21 morbidly obese normoglycemic and 15 morbidly obese prediabetic applicants to The Biggest Loser television show. The results were compared to previously published studies in normoglycemic nonobese and obese individuals. Glucose was measured with a masked continuous glucose monitor (CGM) over 3 to 8 days and carotid intima media thickness (CIMT) was determined by ultrasound. CGM-derived GV metrics for GV were coefficient of variation (CV), standard deviation (SD), mean amplitude of glycemic excursions (MAGE), continuous overall net glycemic action-1 hour (CONGA1), and mean of daily differences (MODD). We found that morbidly obese subjects (n = 21) who were normoglycemic by standard criteria had higher GV (CV = 22%, SD = 24.2 mg/dl and MAGE = 48.6 mg/dl) than previous reports of normoglycemic, nonobese individuals (CV = 12-18%, SD = 11.5-15.0 mg/dl, and MAGE = 26.3-28.3 mg/dl). Morbidly obese prediabetic subjects (n = 15) had GV metrics indistinguishable from those morbidly obese subjects who were normoglycemic. CIMT was higher in both morbidly obese groups compared with historical age- and sex-matched controls. Normoglycemic and prediabetic morbidly obese individuals have higher GV compared with normal weight, nondiabetic individuals. We speculate that this may increase the risk for macrovascular disease through excessive oxidative stress.
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.