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 studies^1	Discriminatory accuracy: AUC range^2 (reference)
Barlow model	1 [27]	Premenopausal: 0.63; postmenopausal: 0.62
Models assessing the prognostic quality in invasive and/or in situ breast cancer	7^3	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. ¹Studies assessing the prognostic quality in different populations considering various risk factors. ²Ranges involve AUC values for varying risk factors. ³Two studies reported no AUC values.