15-lncRNA-Based Classifier-Clinicopathologic Nomogram Improves the Prediction of Recurrence in Patients with Hepatocellular Carcinoma

Table 4

Assessing the prognostic performance of the AJCC stage and nomogram in the training set and validation set.

Cohort	Model	Homogeneity monotonicity and discriminatory ability			Akaike information criterion (AIC)
		Likelihood ratio (LR) test	Linear trend test	C-index (95% CI)
Training set	TNM stage	16.4	19.6	0.64 (0.58-0.69)	663
	Nine lncRNA classifier	25.6	82.7	0.74 (0.68-0.80)	654
	Nomogram	62.7	112.1	0.78 (0.72-0.83)	625
Validation set	TNM stage	5.8	6.6	0.56 (0.51-0.60)	765
	Nine lncRNA classifier	12.2	21.4	0.61 (0.55-0.68)	758
	Nomogram	41.6	59.2	0.71(0.65-0.76)	737

The higher homogeneity likelihood ratio indicates a smaller difference within the staging system; it means better homogeneity. The higher discriminatory ability linear trend indicates a higher linear trend between the staging system; it means better discriminatory ability and gradient monotonicity. A higher C-index means better discriminatory ability. Smaller AIC values indicate better optimistic prognostic stratification.