Systematic Reviews
Copyright ©The Author(s) 2022.
World J Hepatol. May 27, 2022; 14(5): 1025-1037
Published online May 27, 2022. doi: 10.4254/wjh.v14.i5.1025
Table 1 Characteristics of studies included in the meta-analysis
Study characteristics
Le et al[18]
Kim et al[29]
Hagstrom et al[30]
Angulo et al[31]
Year2019201320192013
Country (setting)United States (community care)United States (community care)Sweden (secondary care)United States, United Kingdom, Australia, Thailand, Italy, Iceland (secondary care)
Study designRetrospective cohort studyRetrospective cohort studyRetrospective cohort studyRetrospective cohort study
NAFLD diagnostic methodUSFLI1Ultrasound2Liver biopsy3Liver biopsy3
Number of NAFLD participants46804079646320
Average length of follow-up (yr)Not specified, however follow-up period was 1999-201614.5 (median)19.9 (mean)8.7 (median)
Proportion of males (%)56.350.96243
Mean age (yr)52.646.25052
Caucasians (%)74.875.8Not specified92
Mean BMI (kg/m2)34.329.052833
Cardiovascular disease (%)13.37.1Not specifiedNot specified
Hypertension (%)52.332.43047.5
Diabetes (%)24.49.51436.2
Smoking (%)4555.2Not specifiedNot specified
Deaths (n)68377821422
Low NFS4 (%)32.467.576.239.1
Intermediate NFS4 (%)51.728.25.137.5
High NFS4 (%)17.34.22.323.4
Table 2 Meta-analysis of non-invasive scoring systems and all-cause mortality and cardiovascular-related mortality
Comparison categories1
No. studies
Studies included
Heterogeneity: I2 (P value for Q)2
Pooled HR (95%CI)
P value for overall effect (pHR)
All-cause mortality
NFS high vs low4Le et al[18], 2019; Kim et al[29], 2013; Hagstrom et al[30], 2019; Angulo et al[31], 201375.7%(0.006)3.07 (1.62 – 5.83)0.001
NFS Int. vs low4Le et al[18], 2019; Kim et al[29], 2013; Hagstrom et al[30], 2019; Angulo et al[31], 201381.5%(0.001)1.91 (1.18 – 3.09)0.008
FIB-4 high vs low3Kim et al[29], 2013; Hagstrom et al[30], 2019; Angulo et al[31], 201373.0%(0.025)3.06 (1.54 – 6.07)0.001
FIB-4 Int. vs low3Kim et al[29], 2013; Hagstrom et al[30], 2019; Angulo et al[31], 20130.0%(0.396)1.60 (1.33 – 1.91)< 0.001
APRI high vs low3Kim et al[29], 2013; Hagstrom et al[30], 2019; Angulo et al[31], 20130.0%(0.589)1.90 (1.32 – 2.73)0.001
APRI Int. vs low3Kim et al[29], 2013; Hagstrom et al[30], 2019; Angulo et al[31], 20130.0%(0.411)0.98 (0.76 – 1.26)0.887
BARD high vs low2Hagstrom et al[30], 2019; Angulo et al[31], 201345.1%(0.177)32.87 (1.27 – 6.46)0.011
BARD Int. vs low2Hagstrom et al[30], 2019; Angulo et al[31], 20130.0%(0.862)1.64 (1.21 – 2.23)0.001
Cardiovascular mortality
NFS high vs low2Le et al[18], 2019; Kim et al[29], 20130.0%(0.317)3.09 (1.78 – 5.34)< 0.001
NFS Int. vs low2Le et al[18], 2019; Kim et al[29], 20130.0%(0.759)2.12 (1.41 – 3.17)< 0.001