ArticleBMC endocrine disorders2025
The association between estimated glucose disposal rate and metabolic dysfunction-associated steatotic liver disease and liver fibrosis in US adults.
Article in BMC endocrine disorders, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 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
5 citing papers in PubMed.
- Association Between Estimated Glucose Disposal Rate and Biological Aging Among U.S. Adults: A Cross-Sectional Study.Health science reports · 2026Article
- Converging pathways: the interaction between estimated glucose disposal rate and atherogenic index of plasma in MASLD risk stratification.Hepatology international · 2026Article
- Association between estimated glucose disposal rate and cause-specific mortality among individuals with metabolic dysfunction-associated steatotic liver disease.Cardiovascular diabetology · 2026Article
- Remnant cholesterol inflammatory index and MASLD in U.S. adults: mediation role of triglyceride-glucose index.Journal of clinical & translational endocrinology · 2026Article
- Association between eGDR and MASLD and liver fibrosis: a cross-sectional study based on NHANES 2017-2023.Frontiers in medicine · 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
4 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundMetabolic dysfunction-associated steatotic liver disease (MASLD) is the most common chronic liver disease, also considered a metabolic syndrome, and is associated with poor prognosis. eGDR (estimated glucose disposal rate) is a new biomarker to assessment insulin resistance (IR). The association between eGDR and MASLD and liver fibrosis is currently unclear.
objectiveThe aim of this cross-sectional study is to appraise the association between eGDR and MASLD and liver fibrosis.
methodsThis study have enrolled 3,100 participants from the 2017-2018 National Health and Nutrition Examination Surveys (NHANES). Binary logistic regression analysis was used to assess the association between eGDR and MASLD and liver fibrosis. Receiver operating characteristic (ROC) was applied to estimate the ability of eGDR to identify MASLD.
resultsThe mean age of the subjects was 54.59 (17.29) years, and 49.26% were female. The prevalence of MASLD and liver fibrosis was 62.19% and 11.15%, respectively. In the fully adjusted models, there were negative associations of eGDR with the controlled attenuation parameter (CAP) and liver stiffness measurement (LSM), with βs of -15.18 and - 0.74 (all p < 0.01), respectively. There were negative associations of eGDR with MASLD and liver fibrosis, with odds ratios (ORs) and 95% confidence intervals of 0.53 (95% CI: 0.48-0.74) and 0.40 (95% CI: 0.28-0.57) (all p < 0.01). The area under the curve (AUC) of the eGDR for identifying MASLD and liver fibrosis is 0.74 and 0.75, respectively.
conclusionThe study findings suggest a significant association between eGDR and MASLD as well as liver fibrosis. eGDR may serve as a biomarker for identifying MASLD.
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.