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Fig. 3 | BMC Cancer

Fig. 3

From: Diagnostic and prognostic performance of serum GPC3 and PIVKA-II in AFP-negative hepatocellular carcinoma and establishment of nomogram prediction models

Fig. 3

Stepwise identification of pivotal parameters of the model and development and validation of a nomogram diagnostic prediction model. (A) 6 parameters were risk factors of patients with HCC by univariate Logistic analysis. (B) 3 parameters were risk factors of patients with HCC by multivariate Logistic analysis. (C) Establishment of nomogram score based on 3 parameters. (D) ROC curves of the prediction model in the modeling group and validation group. (E) Calibration chart of the prediction model in the modeling group. (F) Calibration chart of the prediction model in the validation group. (G) DCA curves of the prediction model in the modeling group. (H) DCA curve analysis evaluating the prediction model’s net benefit in the validation cohort. (I) ROC curves of the prediction model

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