Meta-Analysis
Copyright ©The Author(s) 2021.
World J Hepatol. Aug 27, 2021; 13(8): 949-968
Published online Aug 27, 2021. doi: 10.4254/wjh.v13.i8.949
Table 1 Characteristics of the cohort studies included in the systematic review
Ref.
Country
n
NITs
Outcomes
Chun et al[49], 2020South Korea669FIB-4HCC
Chalouni et al[18], 2019France998APRI, FIB-4, TE LRE
Chen et al[45], 2019China691FIB-4 OM
Hansen et al[20], 2019Denmark591TE OM, LRD, HD
Ioannou et al[13], 2019United States48135FIB-4HCC
Na et al[33], 2019South Korea295APRI, FIB-4HCC
Nakagomi et al[34], 2019Japan1146TE HCC
Ogasawara et al[38], 2019Japan398FIB-4, TE HCC, HD
Ogasawara et al[47], 2019Japan457FIB-4OM
Peleg et al[23], 2019Israel515TEHCC, OM, HD
Pons et al[14], 2019Spain572TE HCC
Rinaldi et al[15], 2019Italy258TEHCC
Shili-Masmoudi et al[28], 2019France1062TE OM, LRM
Sou et al[41], 2019China 1884APRI, FIB-4HCC
Tamaki et al[30], 2019Japan346FIB-4, MREHCC
Watanabe et al[44], 2019Japan1174APRI, FIB-4HCC
Bloom et al[17], 2018Australia780TE LRE
Hamada et al[29], 2018Japan196FIB-4, SWEHCC
Munteanu et al[22], 2018France3449Fibrotest OM, LRM
Cepeda et al[25], 2017United States964TE OM
Gomez-Moreno et al[19], 2017Spain343TE HCC, HD, LRM
Merchante et al[26], 2017Spain446TE HD
Thandassery et al[43], 2017Qatar1605APRI, FIB-4HCC, HD, LRE
Akuta et al[39], 2016Japan958FIB-4HCC
Lee et al[31], 2016South Korea598APRI HCC
Lee et al[46], 2016South Korea190TELRE
Ng et al[36], 2016China105APRIHCC
Pérez-Latorre et al[24], 2016Spain957TE LRE, OM
Sato et al[40], 2016Japan355APRI, FIB-4HCC
Tada et al[48], 2016Japan1723FIB-4 LRM, OM
Berenguer et al[12], 2015Spain903FIB-4LRE, OM
Macías et al[21], 2015Spain1046TE HD, OM
Narita et al[35], 2014Japan151TEHCC
Nojiri et al[37], 2014Japan142APRI, FIB-4, Forns index HCC
Tamaki et al[42], 2014Japan1046FIB-4HCC
Bambha et al[16], 2012United States450APRI, FIB-4 OM
Nunes et al[27], 2010United States303APRI, FIB-4 LRM
Masuzaki et al[32], 2009Japan984TE HCC
Yu et al[11], 2006China1338APRIHCC, OM
Table 2 Pooled unadjusted and adjusted hazard ratios of pre- and post-treatment fibrosis-4 index, aspartate aminotransferase to platelet ratio index, liver stiffness measurement for the prediction of hepatocellular carcinoma development
Analysis
HR
aHR
Pooled HR (95%CI)
I2 (%)
Ref.
No. of cases
Pooled aHR (95%CI)
I2 (%)
Ref.
No. of cases
FIB-45.17 (4.03-6.63)76[13,29,30,38,40-42]18312.48 (1.91-3.23)96[13,33,39-42,44,49]1842
pre-Rx4.91 (3.71-6.49)81[13,38,40-42]17813.20 (1.77-5.80)97[13,33,39-40,42,44]1699
post-Rx with SVR5.44 (2.25-13.15)69[29,30,38,41]1733.01 (0.32-28.61)89[33,49]21
APRI5.27 (2.34-11.83)91[31,40,41]1504.24 (2.15-8.38)20[33,36,41]149
pre-Rx4.23 (1.42-12.62)83[31,40,41]142--[33]12
post-Rx with SVR9.33 (5.85-14.88)0[31,41]1309.88 (2.21-44.16)24[33,41]134
LSM9.45 (4.49-19.92)70[14,15,29,30,34,38]3017.90 (3.98-15.68)52[15,29,30,32,34,35,38]362
pre-Rx4.68 (2.00-10.96)40[15,38]543.76 (1.77-8.02)7[15,35,38]63
post-Rx with SVR8.90 (4.10-19.33)36[14,29,30,38]766.33 (2.57-15.59)17[29,30,38]51
Table 3 Area under the receiver operating characteristic curves of non-invasive tests for overall mortality, liver-related mortality, and composite outcomes
Ref.
NIT1
Outcome
AUROC (95%CI)
Chalouni et al[18], 2019APRI OM 0.58 (N/A)
LRM0.80 (N/A)
LRE 0.75 (N/A)
FIB-4 OM0.66 (N/A)
LRM0.88 (N/A)
LRE 0.78 (N/A)
TE OM0.69 (N/A)
LRM0.88 (N/A)
LRE 0.88 (N/A)
Hansen et al[20], 2019TE OM0.70 (0.62–0.78)
LRM0.93 (0.89–0.98)
HD (HCC included)0.89 (0.82–0.97)
Munteanu et al[22], 2018Fibrotest OM0.74 (0.71-0.77)
LRM0.88 (0.85-0.90)
Thandassery et al[43], 2017APRI (Pre-Rx)HD0.54 (0.06–0.78)
FIB-4 (Pre-Rx)HD0.85 (0.74–0.96)
Pérez-Latorre et al[24], 2016TE OMEstimation cohort 0.87 (0.84-0.90)
Validation cohort 0.88 (0.84-0.91)
Lee et al[46], 2016TE (Post-Rx)A composite outcome of HD, HCC, and/or LRM0.92 (0.84-1.00)
Berenguer et al[12], 2015FIB-4 (Pre-Rx)LRE (HD or HCC)0.75 (0.72-0.78)
Yu et al[11], 2006APRI (Pre-Rx)OM0.53 (0.35-0.72)
APRI (Post-Rx)OM0.87 (0.81-0.93)
Table 4 Unadjusted and adjusted hazard ratios of non-invasive test for the prediction of liver-related mortality
Unadjusted hazard ratio (HR)
Ref.
NIT1
HR (95%CI)
P value
Hansen et al[20], 2019TE97.00 (13.20–713.00)< 0.005
Shili-Masmoudi et al[28], 2019TE29.65 (8.88–99.01)< 0.001
Nunes et al[27], 2010APRI10.18 (4.86–21.32)N/A
FIB-49.45 (4.51–19.79)N/A
Adjusted hazard ratio (aHR)
Ref.NIT1aHR (95%CI)P valueAdjustment variables
Hansen et al[20], 2019TE11.00 (1.22–98.60)0.018SVR
Shili-Masmoudi et al[28], 2019TE20.60 (5.99–70.78)< 0.001Gender, alcohol consumption, drug consumption, CD4 count, HCV genotype, metabolic disorders, previous HCV treatment
Macías et al[21], 2015TE29.90 (4.30–217.00)0.001Age, gender, platelet counts, AIDS at baseline, alcohol use, treatment against HCV, time-varying CD4 cell counts, undetectable HIV RNA
Tada et al[48], 2016FIB-4 (Pre-Rx)13.02 (4.16–40.77)< 0.001Age, gender, AST concentration, ALT concentration, albumin, total bilirubin concentration, prothrombin time, platelet count, AFP concentration, FIB-4 index
Nunes et al[27], 2010FIB-41.19 (1.12–1.27)< 0.001Gender, MELD
FIB-41.13 (1.05–1.21)0.001Gender, CPT
APRI1.11 (1.01–1.22)0.035Gender, CPT
APRI1.25 (1.15–1.35)< 0.001Gender, MELD
Table 5 Unadjusted and adjusted hazard ratios of non-invasive tests for the prediction of hepatic decompensation and other composite outcomes
Unadjusted hazard ratio (HR)
Ref.
Outcomes
NIT1
HR (95%CI)
P value
Hansen et al[20], 2019HD (HCC included)TE59.00 (17.40–200.00)< 0.005
Ogasawara et al[38], 2019HDTE (Pre-Rx)7.77 (1.29–46.20)0.025
TE (Post-Rx)17.80 (1.85–171.30)0.013
Bloom et al[17], 2018LRE (HD, HCC and OM)TE56.00 (7.00–415.00)< 0.001
Gomez-Moreno et al[19], 2017LRE (HD, HCC or LRM)TE33.27 (7.25–152.63)< 0.001
Pérez-Latorre et al[24], 2016HD or HCC, whichever occurred firstTE (Post-Rx)37.76 (17.87–79.80)< 0.001
Macías et al[21], 2015HD (HCC included)TE39.90 (5.50–291.00)< 0.0001
Adjusted hazard ratio (aHR)
Ref.OutcomesNIT1aHR (95%CI)P valueAdjustment variables
Hansen et al[20], 2019HD (HCC included)TE9.00 (2.49-32.20)0.001Age, SVR, hyaluronic acid
Ogasawara et al[38], 2019HDTE (Pre-Rx)4.85 (0.80–29.40)0.086Platelet count, albumin
TE (Post-Rx)14.90 (1.45-152.10)0.023Platelet count, albumin
Peleg et al[23], 2019OM or HCCTE (Post-Rx)2.32 (0.97-6.59)0.062liver steatosis, baseline serum platelets
Gomez-Moreno et al[19], 2017LRE (HD, HCC and OM)TE30.97 (6.73-142.51)< 0.001Age, gender, time since HCV diagnosis, HCV genotype, injection drug use, high alcohol intake, HCV antiviral therapy
Merchante et al[26], 2017HDTE1.90 (1.04–3.64)< 0.001Age, gender, SVR during follow-up
Lee et al[46], 2016HD, HCC, and/or LRMTE (Post-Rx)9.47 (1.02-88.13)0.048Age, AFP
Macías et al[21], 2015HD (HCC included)TE59.50 (8.30-427.00)< 0.001Age, gender, platelet counts, AIDS at baseline, alcohol use, treatment against HCV, time-varying CD4 cell counts and undetectable HIV RNA.
Berenguer et al[12], 2015OM/LRE (HD or HCC), whichever occurred first. FIB-4 (Pre-Rx)3.90 (2.46-6.16)< 0.001Age, gender, HIV transmission category, Centers for Disease Control and Prevention HIV clinical category, CD4 cell nadir, HCV genotype, HCV RNA, alcohol intake, methadone use, SVR