Page 63 - The diagnostic work-up of women with postmenopausal bleeding

Prediction models
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Table 3. Continued
First author, year
Development phase
Prediction model
Discrimination# Calibration
Clinical usefulness
Result as reported in paper
Burbos 2011
Internal validation
FAD 31: frequency of bleeding, age, diabetes, BMI cut-off 31 (cut-off FAD 31 4)
0.73 / 0.66 -
Sens 0.80 Spec 0.51 Accuracy 0.53 LR- 0.39
Reasonable discriminatory ability.
Opolskiene 2011
Internal validation
PH
PH+ET PH+ET+Doppler(VAS) PH+ET+Doppler(VI)
0.74 0.82 0.89 0.91
- Sens 0.89, LR- 0.22
- Sens 0.84, LR- 0.24
- Sens 0.70, LR- 0.31
- Sens 0.89, LR- 0.14
Fairly good in excluding endometrial cancer when power Doppler is added.
Prob = probability; PH= patient history;
TVS= transvaginal ultrasound; ET = endometrial thickness
* as many models are described we selected the model with the best performance
Specification of model performance at internal validation
# discrimination is reported as AUC of the ROC curve