Development and validation of a risk assessment model for prediabetes in China national diabetes survey

Figure 3 Discrimination and calibration of the prediabetes prediction model in external validation among diverse populations in National Health and Nutrition Examination Survey. A: Area under the curve (AUC) of the model validated in Mexican American. The estimates (95% confidence interval) were 0.7613 (0.6725, 0.8502) in Mexican American; B: Calibration plot of the model in Mexican American. Hosmer-Leme show tests indicated good calibration of the model in Mexican American (P > 0.05); C: AUC of the model validated in other Hispanic. The estimates (95% confidence interval) were 0.7776 (0.7022, 0.8530) in other Hispanic; D: Calibration plot of the model in other Hispanic. Hosmer-Leme show tests indicated good calibration of the model in other Hispanic (P > 0.05); E: AUC of the model validated in non-Hispanic White. The estimates (95% confidence interval) were 0.6926 (0.6449, 0.7404) in non-Hispanic White; F: Calibration plot of the model in non-Hispanic White. Hosmer-Leme show tests indicated poor calibration in the White population with overestimated prediabetes risk (P = 0.016); G: AUC of the model validated in non-Hispanic Black. The estimates (95% confidence interval) were 0.7441 (0.6828, 0.8053) in non-Hispanic Black; H: Calibration plot of the model in non-Hispanic Black. Hosmer-Leme show tests indicated good calibration of the model in non-Hispanic Black (P > 0.05).