Fig. 3: Evaluation of the original PREDIGT Score in the DeNoPa cohort (Model 1; Model 1’). | npj Parkinson's Disease

Fig. 3: Evaluation of the original PREDIGT Score in the DeNoPa cohort (Model 1; Model 1’).

From: Evaluation of the PREDIGT score’s performance in identifying newly diagnosed Parkinson’s patients without motor examination

Fig. 3

a Table of variables and their associated effect sizes, as gleaned from the OR [95% CI], the AUC values from corresponding univariate logistic regression analyses, and the number of subjects (with percentage, %) for positive cases in each group. Variables within each factor were listed in decreasing order of their AUC values; b, d score density plots of Model 1 and Model 1’, respectively; c, e. ROC curves of Model 1 and Model 1’, respectively. The red, dashed lines in panels b and d, and crosses in corresponding c and e indicate the optimal threshold (score, Model 1: 48.1, Model 1’: 65.7) to distinguish the two groups by the maximum Youden Index. Light blue shading in the ROC curve indicates the bootstrap-estimated 95% CI. DeNoPa, De Novo Parkinson’s Study; n.a., data not available; OR odds ratio, CI confidence interval, ROC receiver operating characteristic, AUC area under the ROC curve, RBD REM sleep behavior disorder.

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