Table 1.
Characteristics of patients eligible and ineligible for diagnostic model development data.
Table 2.
Univariable associations between predictor variables and outcomes.
Table 3.
Multivariable associations between the clinical assessment items and sciatica for model (i) and model (ii).
Fig 1.
Calibration plot for model (i) and model (ii).
Model (i) calibration shown in upper graph, model (ii) calibration shown in lower graph. The solid line is a smoothed curve that represents an estimate of the relation between the predicted and the observed probability of sciatica diagnosis. Ideally this line fits the dotted line that represents perfect calibration.
Table 4.
Scoring tool based on model (i) for clinical assessment items and corresponding predicted probability of sciatica.