Fig. 1 | npj Primary Care Respiratory Medicine

Fig. 1

From: An accurate prediction model to identify undiagnosed at-risk patients with COPD: a cross-sectional case-finding study

Fig. 1

Diagnostic accuracy according to the ROC curve analysis. The ROC curve and AUROC value of the selected diagnostic modality in the development (a) and validation (b) cohorts. **P < 0.01, ***P < 0.001, vs. PCOPD. Statistical evaluations were performed using MedCalc based on the methodology from DeLong et al. ROC, receiver operating characteristic curve; AUROC, area under the ROC; CI, conference interval; %PEFR, percent predicted peak expiratory flow rate; CAT, COPD assessment test; PCOPD, probability of COPD

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