ArticleDiabetology international2026
Anthropometry-adjusted TyG indices improve insulin resistance estimation: an exploratory euglycemic-hyperinsulinemic clamp study in Japanese adults without diabetes.
Article in Diabetology international, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.
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
1 citing paper in PubMed.
- Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
10 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Background: We evaluated the diagnostic performance of anthropometry-adjusted triglyceride-glucose (TyG)-derived indices for assessing insulin resistance (IR) in Japanese adults without diabetes, using the euglycemic-hyperinsulinemic clamp (EHC) as the reference standard. Methods: A total of 61 Japanese individuals without diabetes underwent insulin sensitivity assessment using the gold standard EHC. IR was defined as an insulin sensitivity index (ISI) below the 25th percentile. Surrogate IR indices, including Homeostasis Model Assessment of Insulin Resistance (HOMA-IR), the original TyG index, and anthropometry-adjusted TyG-derived indices (TyG-BMI, TyG-WC, TyG-WHtR), were calculated. Correlations between these indices and the ISI were evaluated using Spearman's rank correlation. Receiver operating characteristic (ROC) analysis and linear regression were used to compare diagnostic accuracy and predictive ability. Pairwise DeLong tests were used to assess differences in the area under the curve (AUC) values. Results: TyG-BMI and TyG-WHtR showed the stronger associations with ISI (ρ = - 0.544 and - 0.546, respectively) than both HOMA-IR and the original TyG index. TyG-BMI and TyG-WHtR had the highest AUCs (0.810 and 0.829, respectively) for identifying clamp-defined IR. The optimal cutoff value for HOMA-IR was approximately 2.5. The optimal cutoff for TyG-BMI was 203.7. Pairwise DeLong tests supported the higher diagnostic performance of selected anthropometry-adjusted TyG-derived indices compared with conventional markers. Conclusions: Anthropometry-adjusted TyG-derived indices, particularly TyG-BMI and TyG-WHtR, showed strong associations with IR as assessed by the gold standard EHC in Japanese adults without diabetes. These findings suggest that these indices may serve as practical surrogate markers for IR in settings where direct clamp measurements are not feasible. Supplementary Information: The online version contains supplementary material available at 10.1007/s13340-026-00883-9.
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.