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Supplementary table 1. Characteristics of all included studies regarding the association between statin use and risk of HCC.

References Study design Country Sample Size

Gender (male%)

Mean Age (SD)

Virus infection

Adjusted variables Results

Friis et al.

(2005) [1]

Cohort Denmark 347005 50.1 NR NR Age, sex, calendar period, use of NSAID, HRT and cardiovascular drugs

RR: 1.16 (0.46-2.90)

Friedman et al.

(2008) [2]

Cohort USA 361859 53.2 NR NR NR RR:

Male: 0.49 (0.34-0.70) Female: 0.40 (0.21-0.75) El-Serag et

al. (2009)

[3]

Cohort USA 6515 98.7 72 NR Alcoholism, alcoholic

liver disease, cirrhosis, HCV or HBV infection, race, HCV treatment, propensity to use statins,

ASA/NSAID, ACE

inhibitors

RR: 0.74 (0.64-0.87)

Chiu et al.

(2010) [4]

Case-control China, Taiwan

2332 68.9 65.9-

66.1

NR Matching variables, hospitalizations, diabetes, HBV or HCV infection, cirrhosis, alcoholic liver

OR: 0.62 (0.45-0.83)

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disease, use of other lipid- lowering drugs.

Leung et al. (2012)

[5]

Case-control China, Taiwan

34205 47.2 58.3 (12.1)

NR Age, sex, Charlson score, other lipid-lowering agents use

OR: 0.44 (0.28-0.72)

Tsan et al.

(2012) [6]

Cohort China, Taiwan

33413 58.2 NR HBV Age, sex, income,

urbanization, diabetes, liver cirrhosis

RR: 0.47 (0.36-0.61)

Tsan et al.

(2013) [7]

Cohort China, Taiwan

260864 49.2 40-62 HCV Age, sex, urbanization, income, liver cirrhosis, diabetes

RR: 0.66 (0.59-0.74)

Lai et al.

(2013) [8]

Case-control China, Taiwan

17400 72.6 62.2- 62.7

NR Age, sex, diabetes mellitus, cirrhosis, alcoholic liver damage, non-alcoholic fatty liver disease, hepatitis B or C infection, treatments for Hepatitis B or C, thiazolidinediones

OR: 0.72 (0.59-0.88)

Björkhem- Bergman

Case-control Sweden 23964 52.0 NR NR Age, sex, diabetes, education, treatment with

OR: 0.88 (0.81-0.96)

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et al.

(2014) [9]

cortisone, acetylsalicylic acid, NSAID and chemotherapy, liver disease

McGlynn et al.

(2014) [10]

Case-control USA 562 74.4 NR NR Race, HCV, alcohol-

related conditions, diabetes, chronic obstructive pulmonary disease, hypertension

OR: 0.32 (0.15-0.67)

Butt et al.

(2015) [11]

Cohort USA 7248 95.6 52-53 HCV NR RR: 0.51 (0.34-0.76)

Chen et al.

(2015) [12]

Case-control China, Taiwan

1700 77.9 62.4-

62.6

NR Age, sex, ALD, HBV, NAFLD, metformin, cirrhosis duration

OR: 0.37 (0.27-0.49)

Chen et al.

(2015) [13]

Cohort China, Taiwan

71824 57.2 NR HBV Baseline propensity score RR: 0.34 (0.27-0.42)

Fu et al.

(2015) [14]

Cohort China, Taiwan

4179 58.5 49.1-

49.2

HBV Age, sex, new onset diabetes, cirrhosis, hyperlipidaemia, CHB treatment, DM treatment, obesity

RR: 0.53 (0.28-0.99)

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Hsiang et al. (2015)

[15]

Cohort China, Hong Kong

53513 26.4 NR HBV Age, sex, comorbidities, diabetes, laboratory parameters, medications

RR: 0.68 (0.48-0.97)

Huang et al. (2015)

[16]

Cohort China, Taiwan

2187 44.9 58.1-

58.3

HCV Age, sex, new onset diabetes, cirrhosis, hyperlipidaemia, CHC treatment, DM treatment, obesity

RR: 1.12 (0.48-2.61)

McGlynn et al.

(2015) [17]

Case-control UK 5835 71.6 NR NR BMI, smoking, alcohol-

related disorders, hepatitis B virus or hepatitis C virus, diabetes, paracetamol use, rare metabolic disorders, aspirin, and antidiabetics

OR: 0.55 (0.45-0.69)

Simon et al. (2016)

[18]

Cohort USA 9135 95.7 52.5-

53.5

HCV Age, sex, race, smoking, alcohol, caffeine intake, BMI, Diabetes, baseline FIB-4 score, Metformin and ACE inhibitor use,

RR: 0.51 (0.36-0.72)

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other lipid-lowering agent use, non-steroidal anti- inflammatory medication use, prior completed HCV treatment, attainment of sustained virologic response (SVR), daily caffeine intake

Tsai et al.

(2017) [19]

Cohort China, Taiwan

546 73.4 57.7

(11.1)

HBV Age, sex, BMI, diabetes, hypertension, baseline HBV-DNA, Child-Pugh class

RR: 2.42 (1.17-5.01)

Kim et al.

(2017) [20]

Case-control South Korea

1374 81.4 40-80 NR chronic viral hepatitis, cirrhosis, alcoholic liver disease, previous cancer, medicine use, history of chronic obstructive pulmonary disease, Charlson comorbidity score, household income level, residential area

OR: 0.36 (0.22-0.60)

(6)

Kim et al.

(2018) [21]

Case-control South Korea

9852 83.6 61.8

(9.2)

NR Diabetes mellitus, liver cirrhosis, Charlson comorbidity index, BMI, alcohol related disorders, smoking, aspirin and antidiabetic medications use, household income level, residential area

OR: 0.44 (0.33-0.58)

Lee et al.

(2017) [22]

Cohort China, Taiwan

18080 52.6 NR NR Age, gender, ALT

elevation, hypertension, hypercholesterolemia, diabetes mellitus, gout, metformin use, aspirin use

RR: 0.29 (0.12-0.68)

German et al. (2020)

[23]

Case-control USA 102 64.7 64.3-

65.2

NR Age, sex, metformin use, aspirin use, angiotensin- converting enzyme inhibitor/angiotensin II receptor antagonist use

OR: 0.20 (0.07-0.60)

Simon et al. (2019)

[24]

Cohort Sweden 16668 NR NR NR NR RR:

lipophilic statin: 0.56 (0.41-0.79)

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hydrophilic statin: 0.95 (0.86-1.08)

Goh et al.

(2019) [25]

Cohort South

Korea

7713 66.2 47-50 HBV Age, sex, cirrhosis, diabetes, hypertension,

serum alanine

aminotransferase,

cholesterol, HBV DNA level, antiviral treatment, antiplatelet therapy

RR: 0.36 (0.19-0.68)

Tran et al.

(2020) [26]

Case-control UK 2537 67.1 50-80 NR Age, sex, practice,

obesity, comorbidities in exposure period, other medication use in exposure period

OR: 0.61 (0.43-0.87)

Tran et al.

(2020) [26]

Cohort UK 471851 46.1 50-80 NR Age, sex, deprivation,

BMI, alcohol, smoking, comorbidities at baseline, other medication use at baseline

RR: 0.48 (0.24-0.94)

Abbreviations: CIs, confidence intervals; NR, not reported; ORs, odds ratios; RR, relative risks; SD, standard deviation; USA, united states.

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Supplementary table 2. Characteristics of all included studies.

References Study design Country Sample Size (Statin User:

Nonuser)

Gender (male%)

Mean Age (SD)

Adjusted variables Results

Kim et al, (2019) [27]

Case-control study

South Korea

13063 (980:12083)

51.0% 52.1(9.0) Age, sex, BMI, ALT,

GGT, total

cholesterol, fasting blood glucose, hypertension, family history of liver disease, smoking status, alcohol consumption

Liver cancer mortality: 0.17 (0.04-0.70)

Thrift et al, (2019) [28]

Case-control study

USA 15422

(2293:13129)

99.2% 63.3 Age, sex, race, BMI, alcohol abuse, smoking, HCV/HBV infection, cirrhosis, NAFLD, stage, MELD score, APRI, ascites, hepatic encephalopathy,

Cancer specific mortality: 0.85 (0.77-0.93) All-cause mortality: 0.89 (0.83-0.95)

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varices, Deyo comorbidity score, treatment, ECOG performance status, pre-diagnosis statin use, post-diagnosis aspirin/NSAID use Jeon et al,

(2016) [29]

Case-control study

USA 1036 (363:673)

64.3% NR Age, sex, race, income, grade, tumor size and stage, resection, radiofrequency ablation, TACE, cardiovascular disease prior, cirrhosis, obesity, diabetes,

hypertension, dyslipidemia, hepatitis B and C

All-cause mortality: 0.98 (0.80-1.20)

(10)

Shao et al, (2015) [30]

Cohort study China, Taiwan

20200

(1988:18212)

80.2% 59.84 Age, sex,

nucleoside/nucleotide analogs, interferons, aspirin, metformin, cirrhosis, liver failure, hypertension, diabetes

All-cause mortality:

Cancer specific mortality:

HBV: Non- HBV:

HBV: Non- HBV:

Stage 1 0.73 (0.54- 0.98)

0.77 (0.64- 0.93)

0.46 (0.25- 0.86)

0.64 (0.45- 0.92) Stage 2 0.72

(0.52- 0.99)

0.77 (0.62- 0.95)

0.38 (0.19- 0.78)

0.70 (0.48- 1.03) Stage 3 0.83

(0.71- 0.97)

0.91 (0.82- 1.01)

1.08 (0.82- 1.44)

0.80 (0.67- 0.96) Stage 4 1.04

(0.82- 1.32)

0.95 (0.83- 1.08)

1.29 (0.86- 1.93)

0.93 (0.76- 1.15) Wu et al,

(2016) [31]

Case-control study

China, Taiwan

18892 (934:17958)

70.4% 64.3 Age, stage, gender, nucleoside/nucleotide analogues,

interferons, aspirin,

All-cause mortality:

HBV: 0.45 (0.30-0.67) Non-HBV: 0.59 (0.48-0.73) Cancer specific mortality:

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metformin, cirrhosis, liver failure, hypertension,

diabetes, chronic obstructive

pulmonary disease, acute coronary syndrome, cerebral vascular disease

HBV: 0.16 (0.05-0.49) Non-HBV: 0.70 (0.50-0.98)

Nishio et al, (2018) [32]

Case-control study

Japan 643 (43:600) 78.2% NR Sex, age, body mass index, daily ethanol intake, prevalence of diabetes,

dyslipidemia,

hypertension, Child- Pugh classification,

serum alpha-

fetoprotein, tumor size, tumor number, tumor differentiation,

presence of

All-cause mortality:

0.62 (0.30-1.27)

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microvascular

invasion, liver cirrhosis

Kawaguchi et al, (2017) [33]

Case-control study

Japan 734 (31:703) 77.2% NR Age, sex, hepatitis B and C, fibrosis, ALT, AFP, DCP, surgical margin, tumor size, tumor differentiation, vascular invasion

All-cause mortality:

0.44 (0.11-1.15)

Abbreviations: CIs, confidence intervals; NR, not reported; ORs, odds ratios; RR, relative risks; SD, standard deviation; USA, united states.

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