Table S2.

Characteristics of risk prediction models in cirrhosis, CHC patients and general population

Factors	Risk predictors	Prediction risk score in cirrhosis patients (category)			Prediction risk score in CHC patients (category)
		ADRESS	AFP-Based Algorithm (no score)		Chang	Chang (SVR)	Michikawa
	No. of model	1	1		1	1	1
Host factors	Age	years×0.0532 entered as continuous variable	√		0 (<60 years)	0 (<60 years)	0 (40-49 years)
					1 (≥60 years)	5 (≥60 years)	2 (50-59 years)
							3 (60-69 years)
	Gender	0 (female)			0 (female)		0 (female)
		0.5114 (male)			1 (male)		2 (male)
	Race	0 (non-Hispanic white)
		0.2058 (nonwhite or Hispanic)
	BMI						0 (<25 kg/m2)
							1 (≥25 kg/m2)
	DM	0 (no)
		0.2135 (yes)
Environmental factors	Alcohol						0 (<450 g/week ethanol or past)
							1 (never)
							2 (≥450 g/week ethanol)
Virological factors	HCV genotype				0 (non G1b)		−1 (ribonucleic acid-negative)
					1 (G1b)		0 (G2)
							2 (G1)
	SVR				0 (yes)
					2 (no)
Liver-related seromarkers	Cirrhosis	0 (autoimmune)			0 (fibrosis stage: 0-2)	0 (fibrosis stage: 0-2)
		0.3509 (alcohol/metabolic)			2 (fibrosis stage: 3-4)	6 (fibrosis stage: 3-4)
		1.246 (viral)
	Severity of CTP	CTP score×0.0532 entered as continuous variable
	ALT		√				0 (<30 IU/L)
							3 (30-69 IU/L)
							5 (≥70 IU/L)
	AFP		√		0 (<20 ng/mL)	0 (<20 ng/mL)
					1 (≥20 ng/mL)	4 (≥20 ng/mL)
	Platelet		√		0(≥150×109/L)	0(≥150×109/L)
					1(<150×109/L)	4(<150×109/L)
	Sum	−	−		0-9	0-19	−1-15