Fig. 5: Machine learning-predicted insulin resistance enables improved cancer risk stratification compared to previously established metrics.
From: Machine learning-predicted insulin resistance is a risk factor for 12 types of cancer
Effect of AI-IR and BMI (a), Metabolic syndrome (MetS) (b), TG/HDL ratio (c), or TyG index (d) on the hazard ratio (HR) for incidence of the composite cancer during the follow-up period in participants without diabetes at baseline. Cox proportional hazards model was used with a two-sided Wald test. In the graph, points represent the estimated OR, and error bars represent 95% confidence intervals. Source data are provided as a Source data file.
