Research Paper Volume 13, Issue 11 pp 15061—15077

Development and validation of a nomogram for predicting stroke risk in rheumatoid arthritis patients

Calibration curves of (A) complex model in the primary cohort (N = 1,354), (B) simple model in the primary cohort (N = 1,354), (C) complex model in the validation cohort (N = 581), and (D) simple model in the validation cohort (N = 581). Calibration curves depicted the calibration of each model in an agreement between the predicted risks of stroke and observed outcomes of stroke. The y-axis represents the actual stroke. The x-axis represents the predicted stroke risk. The diagonal gray line represents the perfect prediction by an ideal model. The dotted line represents the performance of the nonparametric nomogram, of which a closer fit to the diagonal gray line represents a better prediction.

Figure 4. Calibration curves of (A) complex model in the primary cohort (N = 1,354), (B) simple model in the primary cohort (N = 1,354), (C) complex model in the validation cohort (N = 581), and (D) simple model in the validation cohort (N = 581). Calibration curves depicted the calibration of each model in an agreement between the predicted risks of stroke and observed outcomes of stroke. The y-axis represents the actual stroke. The x-axis represents the predicted stroke risk. The diagonal gray line represents the perfect prediction by an ideal model. The dotted line represents the performance of the nonparametric nomogram, of which a closer fit to the diagonal gray line represents a better prediction.