ArticleJournal of the Endocrine Society2023
Proof-of-concept Application of Continuous Glucose Monitoring Data Analytics to Identify Diabetes Glucotypes.
Article in Journal of the Endocrine Society, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 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
4 citing papers in PubMed, 4 citations in OpenAlex.
- The effect of continuous glucose monitoring feedback on glycaemic variability in youth with obesity: A within-participant feasibility study.Pediatric obesity · 2025Trial
- Case Report: A novel 1, 171 bp GCK promoter/exon 1 deletion in a Chinese pedigree: correcting a misdiagnosis of MODY10 based on an incidental INS variant.Frontiers in endocrinology · 2026Article
- Obstructive Sleep Apnea, Resting Heart Rate, and Glycemic Variability in Adults With Maturity-Onset Diabetes of the Young.Diabetes · 2026Article
- Comparison of Point Accuracy Between Two Widely Used Continuous Glucose Monitoring Systems.Journal of diabetes science and technology · 2024Article
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 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Background: In this proof-of-concept study, we evaluated if monogenic diabetes resulting from mutations of the Methods: Using CGM data from 5 subjects with HNF1A-MODY and 115 subjects with T1D, we calculated multiple glucose metrics, including measures of within- and between-day variability (such as coefficient variation for each hour [CV Results: The MODY and T1D cohorts had minimum CV Conclusion: HNF1A- MODY is characterized by a low hourly, between-day glucose variability. CGM-derived glucose metrics may have potential applicability for screening for atypical diabetes phenotypes in the T1D population.
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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.