ArticlePloS one2021
Interpreting blood GLUcose data with R package iglu.
Article in PloS one, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 55 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
55 citing papers in PubMed.
- The Effect of Acute Aerobic Exercise On the Time Spent in Hypoglycaemia After Bariatric Surgery (The BariEX Study).Obesity surgery · 2026Trial
- Inflammatory markers and blood glucose are higher after morning vs afternoon exercise in type 2 diabetes.Diabetologia · 2025Trial
- Glucoregulatory status modulates acute cognitive effects of repeated low-glycaemic snack consumption in older adults: a decentralized randomized controlled trial.European journal of nutrition · 2025Trial
- Timing of unsaturated fat intake improves insulin sensitivity via the gut microbiota-bile acid axis: a randomized controlled trial.Nature communications · 2025Trial
- Continuous glucose monitoring in patients with post-bariatric hypoglycaemia reduces hypoglycaemia and glycaemic variability.Diabetes, obesity & metabolism · 2023Trial
- Trial
- Glycemic Normalization Immediately Following Vertical Sleeve Gastrectomy in Adolescents With Type 2 Diabetes From the STDiabetes, obesity & metabolism · 2026Article
- The Evolving Landscape of Continuous Glucose Monitoring Metrics in Type 1 Diabetes: Narrative Literature Review.JMIR diabetes · 2026Review
- RetiMap: Automated Retinal Vascular Measures Link Microvascular Structure to Metabolic Health and Predict Cardiovascular Risk.JACC. Basic to translational science · 2026Article
- Carbohydrate composition of infant formula and glycemic regulation in early infancy using continuous glucose monitoring: cross-sectional evidence of altered glucose patterns with corn syrup solid-based formulas.The American journal of clinical nutrition · 2026Observational
- Social Determinants of Health and Continuous Glucose Monitoring Metrics in Type 1 or Type 2 Diabetes.JAMA network open · 2026Article
- Beyond Fixed Thresholds: Optimizing Summaries of Wearable Device Data via Piecewise Linearization of Quantile Functions.Statistics in medicine · 2026Article
- Prediction of Nocturnal Hypoglycemia Following Exercise in Type 1 Diabetes Using Temporally Structured CGM-Derived Digital Biomarkers.Sensors (Basel, Switzerland) · 2026Article
- Muscle Mass and Early Glycaemic Risk in Youth With Prediabetes: A Pilot Study.Diabetes, obesity & metabolism · 2026Article
- Impact of Missing Data and Monitoring Duration on Downstream Analyses in Continuous Glucose Monitoring.Diabetes care · 2026Article
- Population-scale characterization of the oral microbiome and associations with metabolic health.Nature communications · 2026Article
- Imputation of Missing Continuous Glucose Monitor Data.Journal of diabetes science and technology · 2026Article
- Lack of Association Between Hemoglobin A1c and Continuous Glucose Monitor Metrics Among Individuals with Prediabetes and Normoglycemia.Diabetes technology & therapeutics · 2026Article
- Real-Time Type 1 Diabetes Self-Management Decision-Making in Adolescents: Protocol for a Longitudinal Mixed Methods Study Using Text Messaging and Continuous Glucose Monitoring.JMIR research protocols · 2026Article
- Navigating the Future: Considerations for use of Continuous Glucose Monitoring in Diabetes Trials.Therapeutic innovation & regulatory science · 2026Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
7 authors.
Funding
Abstract
Continuous Glucose Monitoring (CGM) data play an increasing role in clinical practice as they provide detailed quantification of blood glucose levels during the entire 24-hour period. The R package iglu implements a wide range of CGM-derived metrics for measuring glucose control and glucose variability. The package also allows one to visualize CGM data using time-series and lasagna plots. A distinct advantage of iglu is that it comes with a point-and-click graphical user interface (GUI) which makes the package widely accessible to users regardless of their programming experience. Thus, the open-source and easy to use iglu package will help advance CGM research and CGM data analyses. R package iglu is publicly available on CRAN and at https://github.com/irinagain/iglu.
Indexed as
Identifiers
What Socratic 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 Socratic graph.