From: Evaluating the impact of prediction models: lessons learned, challenges, and recommendations
Original model | Updated model | ||
---|---|---|---|
Predictor | Regression coefficients | Predictor | |
Age (years) | − 0.022 | − 0.017 | Age (years) |
Female gender | 0.46 | 0.36 | Female gender |
Current smoking | − 0.63 | − 0.50 | Current smoking |
History of PONV or motion sickness | 0.76 | 0.60 | History of PONV or motion sickness |
Lower abdominal or middle ear surgery | 0.61 | 0.48 | Abdominal or middle ear surgerya |
Isoflurane and/or nitrous oxide anesthesiab | 0.72 | 0.35 | Inhalational anesthesiab |
 | – | − 1.16 | Outpatient surgeryc |
Intercept | 0.15 | 0.12 | Intercept |
 | Model performance characteristicsd |  | |
Model discrimination as C-statistic (95% CI) | 0.62 (0.60–0.64) | 0.68 (0.66–0.70) | Model discrimination as C-statistic (95% CI) |
Calibration slope (95% CI) | 0.57 (0.48–0.66) | 1.00 (0.89–1.10) | Calibration slope (95% CI) |