Loading
Life sciences · Journal article
Journal of Diabetes and Metabolic Disorders · August 12, 2026
Encouraging direction, but not yet definitive.
This cross-sectional analysis of NHANES 2009–2018 data identified two insulin resistance indices independently associated with colorectal cancer prevalence: higher eGDR was protective (adjusted OR 0.42) and higher QUICKI increased odds (adjusted OR 12.77). While QUICKI showed moderate discriminatory accuracy (AUC 0.762), eGDR demonstrated poor diagnostic performance (AUC 0.319), and prospective validation is needed before clinical deployment.
Cross-sectional analysis of national survey data. Participants from NHANES 2009–2018 cycles; 1074 with self-reported colorectal cancer and 2582 non-CRC controls. Intervention: Insulin resistance indices: UHR (uric acid to HDL cholesterol ratio), eGDR (estimated glucose disposal rate), HOMA-IR (homeostatic model assessment of insulin resistance), and QUICKI (quantitative insulin sensitivity check index). Compared with: Non-CRC controls. n = 3,656. NHANES (National Health and Nutrition Examination Survey); conducted in the United States.
Higher eGDR independently associated with lower odds of CRC: adjusted OR = 0.42 (95% CI: 0.35–0.52), P < 0.001 Higher QUICKI independently associated with increased CRC odds: adjusted OR = 12.77 (95% CI: 9.19–17.74), P < 0.001 QUICKI optimal cut-off 0.30 with AUC = 0.762 (P < 0.001) showed moderate discriminatory performance
Safety was not reported in the material analysed. Check the source before drawing any conclusion about harm.
These findings suggest QUICKI may have potential as a supplementary metabolic biomarker for CRC risk stratification, but eGDR lacks practical diagnostic utility despite statistical significance. Prospective studies are required before consideration for screening or prevention protocols.
Cross-sectional analysis of a large national survey identifying two insulin resistance indices independently associated with colorectal cancer risk, with one showing moderate discriminatory performance, but requiring prospective validation.
As stated by the source record.
Quoted from the source exactly as published.
These findings suggest QUICKI may have potential as a supplementary metabolic biomarker for CRC risk stratification, but eGDR lacks practical diagnostic utility despite statistical significance. Prospective studies are required before consideration for screening or prevention protocols.
Graded across the dimensions that decide whether you should act, each from what the source actually supports. There is no single score, and where a dimension was not assessed it says so.
Background. Colorectal cancer (CRC) is a major global health burden, and its increasing incidence in younger adults underscores the need for simple, noninvasive biomarkers to aid in risk stratification. Metabolic dysfunction and insulin resistance play central roles in CRC pathogenesis. This study evaluated the associations of the uric acid to HDL cholesterol ratio (UHR), estimated glucose disposal rate (eGDR), homeostatic model assessment of insulin resistance (HOMA-IR), and quantitative insulin sensitivity check index (QUICKI) with CRC risk.Methods. Data from 3656 participants (1074 CRC cases, 2582 non-CRC controls) were extracted from the NHANES 2009-2018 cycles. Insulin resistance indices were calculated using standard formulas. Logistic regression models assessed associations between indices and CRC risk, adjusting for demographic and metabolic covariates. Receiver operating characteristic (ROC) analysis was performed for significant predictors.Results. Patients with CRC were older, more frequently female, and had a higher prevalence of low HDL-C, obesity, elevated fasting blood glucose, elevated uric acid, and hypertension than controls (all P < 0.001). In the multivariable analysis, higher eGDR was independently associated with lower odds of CRC (adjusted OR = 0.42, 95% CI: 0.35-0.52), whereas higher QUICKI was independently associated with CRC (adjusted OR = 12.77, 95% CI: 9.19-17.74; both P < 0.001). ROC analysis identified optimal cut-off values of 11.19 for eGDR (AUC = 0.319) and 0.30 for QUICKI (AUC = 0.762; both P < 0.001).Conclusion. Both eGDR and QUICKI were independently associated with CRC. While QUICKI demonstrated moderate discriminatory performance, eGDR showed poor diagnostic accuracy despite its significant association with CRC. Further prospective studies are warranted to validate these findings and clarify the role of metabolic indices in CRC screening and prevention strategies.
Taken from the source record, never inferred. Follow any of these and new work involving them reaches your briefing.