Table 2

Performance of the final model* in the training and test datasets

Type of dataset†AROC (95% CI)HL χ2 statisticHL χ2 P valueSensitivity (%)Specificity (%)PPV (%)
Training dataset (n=1408)0.71 (0.68 to 0.73)3.870.868646364
Test dataset 1 (n=478)0.67 (0.62 to 0.71)6.000.647605960
Test dataset 2 (n=467)0.70 (0.66 to 0.75)6.090.637636763
Test dataset 3 (n=474)0.70 (0.65 to 0.74)3.560.895626362
Test dataset 4 (n=481)0.69 (0.64 to 0.73)3.260.917626462
Test dataset 5 (n=507)0.66 (0.60 to 0.70)5.310.724605860
  • *Final model—age, self-assessed health and history of depression or anxiety.

  • †The reduced number in each dataset is due to removal of observations that had structural zeros and variables with significant correlation to EOSS≥2 from candidate diagnostic modelling.

  • AROC, area under the receiver operating characteristic curve; HL, Hosmer–Lemeshow; PPV, positive predictive value.