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Original Research

A Novel Risk-Scoring Model for Prediction of Premalignant and Malignant Lesions of Uterine Endometrium Among Symptomatic Premenopausal Women

ORCID Icon, , , , & ORCID Icon
Pages 883-891 | Published online: 27 Oct 2020

Figures & data

Figure 1 Flowchart of participants.

Figure 1 Flowchart of participants.

Table 1 Univariate Analysis of Demographic and Clinical Characteristics Associated with Atypical Endometrial Hyperplasia and/or Endometrial Cancer (AEH/EC)

Table 2 Multivariate Regression Analysis Showing Clinical Characteristics for Prediction of AEH/EC

Table 3 Sensitivity, Specificity, PPV, NPV, LR+, LR−, Pre- and Post-Test Probability for Each Score of Our Risk-Scoring Model

Figure 2 Receiver operating characteristics curve for the risk-scoring model PAD30, with an area under the curve (AUC) of 0.848 (95% CI 0.75–0.93; p<0.048).

Figure 2 Receiver operating characteristics curve for the risk-scoring model PAD30, with an area under the curve (AUC) of 0.848 (95% CI 0.75–0.93; p<0.048).

Figure 3 Risk assessment pathway for management of premenopausal women with abnormal uterine bleeding.

Figure 3 Risk assessment pathway for management of premenopausal women with abnormal uterine bleeding.