The Breast Journal / 2024 / Article / Tab 4 / Review Article
The Prognostic Quality of Risk Prediction Models to Assess the Individual Breast Cancer Risk in Women: An Overview of Reviews Table 4 Overview of the predictive quality of the original models.
Original models Number of validation studies1 Discriminatory accuracy: AUC range2 (reference) Barlow model 1 [27 ] Premenopausal: 0.63 ; postmenopausal: 0.62 Models assessing the prognostic quality in invasive and/or in situ breast cancer 73 0.58 [39 ]–0.71 [40 ]Models assessing the prognostic quality in invasive and/or in situ breast cancer without and with breast density 5 Without breast density: 0.54 [41 ]–0.65 [42 , 43 ]; with breast density: 0.63 [41 ]–0.72 [44 ] Models assessing the prognostic quality in invasive and/or in situ breast cancer without and with SNPs 10 Without SNPs: 0.53 [45 ]–0.79 [46 ]; SNPs enhanced: 0.60 [45 ]–0.69 [47 ] Model assessing the prognostic quality in ER-positive, HER2-negative, invasive, and noninvasive cancers without and with SNPs 1 [46 ] Premenopausal: 0.708 (without SNPs) 0.785 (SNPs enhanced); postmenopausal: 0.693 (without SNPs) 0.764 (SNPs enhanced)
AUC = area under the curve, ER = oestrogen receptor, NR = not reported, SNPs = single-nucleotide polymorphisms. 1 Studies assessing the prognostic quality in different populations considering various risk factors. 2 Ranges involve AUC values for varying risk factors. 3 Two studies reported no AUC values.