Systematic Reviews
Copyright ©The Author(s) 2024.
World J Gastrointest Oncol. Apr 15, 2024; 16(4): 1596-1612
Published online Apr 15, 2024. doi: 10.4251/wjgo.v16.i4.1596
Table 1 Study level characteristics, risk estimates of hepatocellular carcinoma and adjusted covariates of included studies
Ref.
Country
Journal
SJR ranking quartile
Study design
Enrolment period
Study setting
Average follow-up (months)
HCV diagnosis
HCC diagnosis
Risk estimates of HCC
Covariates adjusted for
Aziz et al[27], 2019PakistanPak J Med ScQ3Cross-sectionalJune 2016 to January 2018Hospital6.0HCV Ab, HCV RNA, and genotypingUSS abdomen, serum AFP, CT abdomenCrude numbersExclusions: HBV, HIV, age < 18 yr or > 70 yr, pregnancy, previous liver lesion, “extremely fragile”, low bodyweight (not defined), known mental health issues, patients who were taking phenytoin, rifampicin, carbamazepine, patients with pancytopenia
Cha et al[29], 2016KoreaMedicineQ3Retrospective case-controlJanuary 2005 to December 2014Hospital59.6HCV Ab, HCV RNA, and genotypingUSS abdomen, serum AFP, CT abdomen, histological examinationHR with 95% confidence intervalPatients with < 6 months of follow-up or patients with HCC diagnosed within 6 months of enrolment in the study
Khan et al[30], 2009PakistanJournal of Medical VirologyQ1Retrospective case-controlJanuary 2006 to September 2007Hospital6.0HCV Ab, HCV RNA, and genotyping2 of 3 criteria: Serum AFP > 400 IU/mL, CT/MRI or liver biopsyCrude numbersCo-infection with HBV or HDV
Kanwal et al[19], 2014United StatesJournal of HepatologyQ1Retrospective cohort studyOctober 1999 to September 2009Hospital12.0HCV Ab, HCV RNA, and genotypingHCC (ICD-9 code 155.1)HR with 95% confidence interval< 1 yr of follow-up
Maryam et al[32], 2018PakistanJournal of Medical VirologyQ1Retrospective case-controlNDHospitalNDHCV RNA and genotypingLiver biopsyCrude numbersNil
Park et al[35], 2019KoreaBMC CancerQ1, Q2Retrospective cohort studyJanuary 2005 to December 2016Hospital24.0HCV Ab, HCV RNA, and genotypingUSS abdomen, serum AFP, CT Abdomen, histological examinationCrude numbersPeople with HIV and/or HBV, < 6 months of follow-up
Tayyab et al[34], 2020PakistanBMC GastroenterologyQ2Prospective cohortOctober 2014 to March 2017Hospital12.0HCV Ab, HCV RNA, and genotypingUSS abdomen, serum AFP, CT abdomenHR with 95% confidence intervalHBV co-infection
Table 2 Patients level characteristics for studies included in the meta-analysis
Ref.
Total number of participants
Percentage genotype 3, n (%)
Number of HCV GT3 participants
Age, yr, median or mean
Sex (M/F)
Number of HCC, n (%)
Patients without HCC, n (%)
Risk factor
Number with risk factor who developed HCC, n (%)
Cirrhosis (%)
Active HCV (%)
Cleared HCV, n (%)
HIV, n (%)
HBV, n (%)
Hazards ratio of risk factor
OR/HR/RR calculation (in study or calculated independently)
Aziz et al[27], 2019300
300 (100.00)300
55.08 +/-5.62
179/12110 (3.33)
290 (96.67)
DAA treatment (SOF + DAC +/-RBV)10 (3.33)100100276 (92.00)0 (0)0 (0)Independent calculation
Child Pugh A (compensated cirrhosis) and SVR not achieved2 (0.67)100100276 (92.00)0 (0)0 (0)Independent calculation
Child Pugh B (compensated cirrhosis) and SVR achieved5 (1.67)100100276 (92.00)0 (0)0 (0)Independent calculation
Child Pugh B (Decompensated cirrhosis) and SVR not achieved3 (1.00)100100276 (92.00)0 (0)0 (0)Independent calculation
Male7 (2.33)100100276 (92.00)0 (0)0 (0)Independent calculation
Female3 (1.00)100100276 (92.00)0 (0)0 (0)Independent calculation
Cha et al[29], 20161335

98 (7.30)
9841.8 +/-10.5
79/194 (4.10)
94 (95.92)Age > 40 yrND25.5010034 (34.70)0 (0)4 (4.1)2.697 (0.436-16.683), P = 0.286Calculated in study
Cirrhosis at enrolment25 (25.50)25.5010034 (34.70)0 (0)4 (4.1)33.834 (2.088-548.269), P = 0.013Calculated in study
Alcohol intake > 40 g/d53 (54.60)25.5010034 (34.70)0 (0)4 (4.1)8.556 (0.693-105.623), P = 0.094Calculated in study
SVR34 (34.70)25.5010034 (34.70)0 (0)4 (4.1)0.848 (0.063-11.445), P = 0.901Calculated in study
Decompensated cirrhosis and achieved SVR*125.5010034 (34.70)0 (0)4 (4.1)Independent calculation
Did not achieve SVR*125.5010034 (34.70)0 (0)4 (4.1)Independent calculation
Low platelet countND25.5010034 (34.70)0 (0)4 (4.1)1.00 (1.00- 1.00), P = 0.872Calculated in study
Khan et al[30], 2009158

147 (93.00)
14747.3 +/-12.5
102/56
65 (44.20)
82 (55.78)
Male5117.6987.1030 (18.99)0 (0)5Independent calculation
Female1417.6987.1030 (18.99)0 (0)5Independent calculation
Age > 46.9 yr6517.6987.1030 (18.99)0 (0)5Independent calculation
High AFP6517.6987.1030 (18.99)0 (0)5Independent calculation
High HCV VL6517.6987.1030 (18.99)0 (0)5Independent calculation
ALP > 686517.6987.1030 (18.99)0 (0)5Independent calculation
Anti-HBc*4617.6987.1030 (18.99)0 (0)5Independent calculation
HCV viraemia*5817.687.1030 (18.99)0 (0)5Independent calculation
Kanwal et al[19], 2014110484
8337 (7.54)
8337
50.2 +/-6.4
8095/242
ND
ND
CirrhosisND12861167 (14.00)242 (2.9)0 (0)1.44 (1.23-1.68)Calculated in study
DiabetesND12861167 (14.00)242 (2.9)0 (0)1.30 (1.88-1.90)Calculated in study
Age > 50 yrND12861167 (14.00)242 (2.9)0 (0)1.79 (1.53-2.11)Calculated in study
Age < 50 yrND12861167 (14.00)242 (2.9)0 (0)1.86 (1.56-2.22)Calculated in study
Maryam et al[32], 201850
50 (100.00)
50
58 (47-73)
37/23
27 (54.00)
23 (46.00)
NRAS oncogene27 (54.00)ND1000NDNDIndependent calculation
Male*22ND1000NDNDIndependent calculation
Female*5ND1000NDNDIndependent calculation
Park et al[35], 2019180
16 (8.88)
16
46 (40-53)
45306
16 (100.00)
0 (0)
Male15 (93.80)1001002 (12.50)0 (0)0 (0)Independent calculation
Diabetes6 (40.00)1001002 (12.50)0 (0)0 (0)Independent calculation
Cirrhosis16 (100.00)1001002 (12.50)0 (0)0 (0)Independent calculation
Alcohol intake > 60 g/d3 (18.80)1001002 (12.50)0 (0)0 (0)Independent calculation
High HCV VL6 (37.70)1001002 (12.50)0 (0)0 (0)Independent calculation
MELD-score > 9.516 (100.00)1001002 (12.50)0 (0)0 (0)Independent calculation
Female1 (6.25)1001002 (12.50)0 (0)0 (0)Independent calculation
High AFP16 (100.00)1001002 (12.50)0 (0)0 (0)Independent calculation
Not achieved SVR*21001002 (12.50)0 (0)0 (0)Independent calculation
Tayyab et al[34], 2020653593 (90.81)
59350 (41-56)
319/334

40 (6.13)
613 (93.87)
Age, per 10-yr increaseND49.3154 (8.27)599 (91.78)ND0 (0)1.71 (1.25-2.33), P = 0.001Calculated in study
Use of SOF/DCV/RBV9 (22.50)49.3154 (8.27)599 (91.78)ND0 (0)17.05 (2.09-139.47), P = 0.01Calculated in study
Cirrhosis40 (6.13)49.3154 (8.27)599 (91.78)ND0 (0)NDIndependent calculation
Male*1849.3154 (8.27)599 (91.78)ND0 (0)NDIndependent calculation
Female*2249.3154 (8.27)599 (91.78)ND0 (0)NDIndependent calculation
High BMI*549.3154 (8.27)599 (91.78)ND0 (0)NDIndependent calculation
Hypertension*349.3154 (8.27)599 (91.78)ND0 (0)NDIndependent calculation
Diabetes*1949.3154 (8.27)599 (91.78)ND0 (0)NDIndependent calculation
HBV Co-infection*1249.3154 (8.27)599 (91.78)ND0 (0)NDIndependent calculation
Achieved SVR*3549.3154 (8.27)599 (91.78)ND0 (0)NDIndependent calculation
Not achieved SVR*549.3154 (8.27)599 (91.78)ND0 (0)NDIndependent calculation
SOF/RBV use*2949.3154 (8.27)599 (91.78)ND0 (0)NDIndependent calculation
SOF/RBV/PEG-IFN use*149.3154 (8.27)599 (91.78)ND0 (0)NDIndependent calculation
SOF/DCV use*149.3154 (8.27)599 (91.78)ND0 (0)NDIndependent calculation
Table 3 The Newcastle-Ottawa Scale assessment for included studies
Ref.
Type of Study
Selection
Comparability
Exposure
Total score


Adequate case definition1
Representativeness of cases1
Selection of controls1
Definition of controls1
Representative of exposed cohort2
Selection of non-exposed cohort2
Ascertainment of exposure2
Demonstration that outcome of interest was not present at start of study2
Comparability based on the design or analysis
Ascertainment of exposure1
Same method of ascertainment for participants1
Nonresponse rate1
Assessment of outcome2
Was follow-up long enough for outcomes to occur2
Adequacy of follow up of cohorts2

Aziz et al[27], 2019Cross-SectionalNANANANA*****NANANA**7
Cha et al[29], 2016CohortNANANANA*****NANANA***8
Khan et al[30], 2009Case-control**NANANANA****NANANA6
Kanwal et al[19], 2014CohortNANANANA*****NANANA***8
Maryam et al[32], 2018Case-control*NANANANA**NANANA3
Park et al[35], 2019CohortNANANANA*****NANANA***8
Tayyab et al[34], 2020CohortNANANANA*****NANANA***8
Table 4 Pooled individual participant data for all participants with hepatitis C genotype 3 who developed hepatocellular carcinoma
Risk factor
Number of participants
Patient-dependent factors
Cirrhosis66
Male118
Female62
Age > 40 yr65
Alcohol intake > 40 g/d56
Anti-HBc46
Diabetes25
Age < 50 yr0
NRAS oncogene27
Age, per 10-yr increase0
High BMI5
Hypertension3
HBV co-infection12
Treatment dependent factors
DAA treatment66
SVR achieved74
SVR not achieved13
Decompensated cirrhosis and achieved SVR1
Use of SOF/DCV/RBV9
Biochemical factors
Low platelet count16
High AFP65
High HCV VL71
ALP > 6865
HCV viraemia58
MELD-score > 9.516