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Table 3 Diagnostic properties of logistic regression models

From: A patient-reported questionnaire developed in a German early arthritis cohort to assess periodontitis in patients with rheumatoid arthritis

Model Severity of detected PD Reference standard: dentist’s assessment Bias-corrected AUC AUC of the original model applied on radiograph scoring data
Sensitivity (%) Specificity (%) AUC
Age + number of teeth Mild, moderate or severe versus no 86.0 48.6 0.73 0.73 0.82
Moderate or severe versus no or mild 80.3 64.1 0.78 0.77 0.72
Severe versus no, mild or moderate 86.1 78.1 0.86 0.85 0.66
Age + 6 patient-reported items Mild, moderate or severe versus no 64.2 88.5 0.82 0.81 0.88
Moderate or severe versus no or mild 72.8 80.7 0.85 0.83 0.83
Severe versus no, mild or moderate 96.6 81.5 0.92 0.90 0.77
  1. Sensitivities, specificities and AUCs to detect different levels of severity of PD in the simple model and in the model including six questionnaire items. The table also shows the AUCs of these models after correction for overoptimism with bootstrap methods and the AUCs of the models if the independent assessment of PD with radiographs is used as a reference standard