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A nationwide survey on non-B, non-C hepatocellular carcinoma in Japan: 2011–2015 update

Ryosuke Tateishi, Koji Uchino, Naoto Fujiwara and 19 more

Journal of Gastroenterology · 2018 · CC BY

doi:10.1007/s00535-018-1532-5 (opens in a new tab)

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Abstract

Background. We previously reported that the incidence of hepatocellular carcinoma (HCC) with non-viral etiologies increased rapidly between 1991 and 2010 in Japan.

Methods. To update this investigation, we enrolled patients who were initially diagnosed as having non-B, non-C HCC at participating hospitals between 2011 and 2015. In addition to the patient characteristics investigated in the previous report, we also investigated the duration of alcohol consumption. The overall survival rate was analyzed using the Kaplan–Meier method, and the hazard function against the body mass index (BMI) was plotted using cubic splines.

Results. A total of 2087 patients were enrolled. The proportion of patients with non-viral etiologies has continued to increase from 10.0% in 1991 to 32.5% in 2015. Patients were also older (median ages, 70–73 years) and more obese (median BMIs, 23.9–24.2 kg/m2), and the proportions of patients with diabetes mellitus (46.1% to 51.6%), hypertension (42.7% to 58.6%), dyslipidemia (14.6% to 22.9%), and fatty liver (24.0% to 28.8%) had all increased significantly. There was a significant inverse relationship between the duration and the amount of daily alcohol consumption. The improvement in the overall survival was relatively small, with a decreased proportion of patients under surveillance (41.3% to 31.6%). A hazard function plot showed a curve similar to that in our previous report, with a lowest hazard of ~ 26 kg/m2.

Conclusions. The proportion of HCC patients with non-viral etiologies continues to increase in Japan. Lifetime total amount of alcohol consumption may be a risk factor.

Electronic supplementary material. The online version of this article (10.1007/s00535-018-1532-5) contains supplementary material, which is available to authorized users.

Abstract licence: CC BY

Full text

From PubMed Central, U.S. National Library of Medicine, as current on Oct 21, 2026. Paragraph numbers are ours, so an answer can point at one.

Introduction

Chronic hepatitis B and C has contributed to primary liver cancer, especially the development of hepatocellular carcinoma (HCC), in the vast majority of such cases worldwide. As a result of efforts to control hepatitis B (HBV) and hepatitis C virus (HCV) infections, mortality rates have started to decrease in Asia and Southern Europe. On the other hand, the mortality rates continue to increase in other regions such as the United States, where the increase in the incidence of HCC was the highest among all types of cancer between 2003 and 2012.

Growing evidence suggests that obesity and diabetes increase various cancer risks, with obesity and obesity-associated conditions having the largest impact on carcinogenic processes in the liver. In fact, the population-attributable fractions of obesity and diabetes on liver cancer development were the largest among various risk factors in the United States, suggesting that the diversity in obese populations among races and ethnicities has contributed to the disparity in the increasing rates of HCC in the United States.

We previously reported that the incidence of HCC with a non-viral etiology increased rapidly between 1991 and 2010 and that the proportion of patients with obesity or diabetes was higher than that of patients with viral hepatitis during this period. We concluded that the increase in the obese population among Japanese males over the last three decades has contributed to the increase in HCC patients with a non-viral etiology. The present study aims to update this investigation by collecting data from 2011 to 2015 and by including additional information regarding detailed histories of alcohol consumption and prescriptions for diabetes, hypertension, and dyslipidemia.

Study design

This retrospective study complied with the ethical guidelines for medical and health research involving human subjects established by the Japanese Ministry of Education, Culture, Sports, Science, and Technology and the Ministry of Health, Labour, and Welfare. The study protocol was approved by the University of Tokyo Medical Research Center Ethics Committee (approval number 3710) and the Institutional Review Board or Ethics Committee of each participating institution. Informed consent was waived because of the retrospective design. This study was registered with the University Hospital Medical Information Network (UMIN) Clinical Trial Registry (UMIN-CTR000007570).

Patients

In the current study, we collected data from patients who were initially diagnosed as having non-B, non-C HCC at the participating hospitals between 2011 and 2015. Patients who were negative for both hepatitis B surface antigen (HBsAg) and anti-HCV antibody were enrolled. We also investigated the number of HCC patients who were initially diagnosed during the same period according to the following four categories: HBV single positive, HCV single positive, both HBV and HCV positive, and non-B, non-C. We also used data from our previous study, which had enrolled non-B, non-C HCC patients diagnosed between 1991 and 2010, for comparison purposes.

Diagnosis of HCC

HCC was diagnosed pathologically or using imaging criteria based on the Japanese Clinical Practice Guidelines; hyperattenuation during the arterial phase with washout during the late phase on dynamic CT or dynamic MRI images was regarded as a specific finding.

Data collection

The patients were registered via an electronic data capture system designed by the investigators. We collected data at the time of the initial diagnosis of HCC; this data included anthropometric parameters, daily alcohol consumption, medical comorbidities, tumor characteristics, treatment modalities and laboratory data. The collected items were described in detail in our previous report. The body mass index (BMI), Child–Turcotte–Pugh (CTP) score, fibrosis-4 (FIB-4) index, and Barcelona Clinic Liver Cancer (BCLC) stage were calculated automatically using the obtained data.

The etiologies of the background liver diseases were categorized as follows: autoimmune hepatitis (AIH), primary biliary cholangitis (PBC), AIH-PBC overlap syndrome, alcoholic liver disease (ALD), non-alcoholic fatty liver disease (NAFLD), Budd–Chiari syndrome, hemochromatosis, Wilson’s disease, and others. Diagnoses of background liver diseases, diabetes mellitus, hypertension, and dyslipidemia were made by the attending physician based on the Japanese clinical guidelines for each disease. Daily alcohol consumption was calculated from reported forms regarding alcohol intake and frequency. Regarding the diagnosis of alcoholic liver disease, we used previously reported criteria of a daily alcohol consumption ≥ 80 g/day and the absence of any other definite etiology of liver disease in our previous report. In the present report, however, we revised the criterion for alcohol consumption to ≥ 60 g/day based on the Japanese Society for Biomedical Research on Alcohol (JASBRA) Diagnostic Criteria for Alcoholic Liver Disease 2011 Edition. The background etiologies in the 1991–2010 survey were recalculated based on this new criterion. NAFLD was defined as the presence or a history of fatty liver diagnosed radiologically or pathologically and an alcohol consumption of ≤ 20 g/day.

The survival statuses of the patients were also registered. Survival status was defined as alive, dead, or lost to follow-up. Observations were censored as of December 31, 2015. For the deceased patients, the cause of death was categorized according to the criteria of the Liver Cancer Study Group of Japan as follows: liver cancer progression, liver failure, gastrointestinal bleeding, gastroesophageal varices rupture, rupture of liver cancer, operative death, other, or unknown.

In addition to the data investigated in our previous report, we also collected the following data in the present study. First, we investigated the history of fatty liver. Second, we investigated the ages at which the patients started and stopped drinking and whether the patients had practiced moderation in their drinking for at least 6 months prior to the diagnosis of HCC. Moderation in drinking was defined as decreased amount of daily alcohol consumption from the peak value. We also compared the γ-glutamyltransferase (GGT), aspartate aminotransferase (AST), and alanine aminotransferase (ALT) values and the FIB-4 index between patients who had practiced moderation in their drinking for longer than 6 months prior to the diagnosis of HCC and patients who had continued to drink, matched for gender and daily amount of alcohol intake. Finally, we investigated the presence of prescriptions for the treatment of diabetes, hypertension, and dyslipidemia.

Statistical analysis

Data are expressed as the medians with the 25th to 75th percentiles unless otherwise indicated. Numbers and percentages were used for qualitative variables. The Student’s t test or the Wilcoxon rank-sum test was used for comparisons between two continuous variables. For the comparison of paired data, the Wilcoxon signed-rank test was used. Differences among groups were assessed using a one-way analysis of variance (ANOVA) for continuous data and the Chi-squared test for categorical data. The Cochran–Armitage trend test was used to evaluate increasing or decreasing trends. Survival time was defined as the interval between the day of the initial diagnosis and death or the last visit to the hospital. Cumulative survival curves were constructed using the Kaplan–Meier method and were compared using the log-rank test. To assess the hazard ratios of various factors on overall survival, the Cox proportional hazard model was used. We also plotted the relative hazard against BMI using cubic splines.

All the statistical analyses were performed using R software (ver. 3.2.3; R Development Core Team, Vienna, Austria). All the tests were two-sided, and P values < 0.05 were considered to indicate statistical significance.

Patient profiles

Thirty-four hospitals consented to participate in the current survey. Of the 7,370 patients who were initially diagnosed as having HCC at the participating hospitals, 2087 (28.3%) were categorized as non-B, non-C. The proportion of patients with a non-B, non-C etiology continued to increase in 2011–2015 (Fig. 1; P < 0.001, Cochran–Armitage test). The proportion of non-B, non-C patients increased from 10.0% in 1991 to 32.5% in 2015. The distribution of background liver diseases among non-B, non-C patients was as follows: AIH in 54 (2.6%), PBC in 52 (2.5%), AIH-PBC overlap syndrome in 10 (0.5%), alcoholic liver disease in 675 (32.3%), NAFLD in 315 (15.1%), Budd-Chiari Syndrome in 1 (0.04%), hemochromatosis in 2 (0.1%), Wilson’s disease in 4 (0.2%), unclassified in 911 (43.7%), and other in 63 (3.0%).

We compared the baseline characteristics of the current study cohort with the previous cohort (Table 1). The age at the time of diagnosis increased significantly, whereas the proportion of males was almost the same. The BMI increased slightly, whereas the proportions of patients with diabetes mellitus, hypertension, dyslipidemia, and fatty liver increased significantly. Although HCC was diagnosed at a slightly earlier stage in the current cohort, the difference was quite small.

Regarding the HCC diagnostic process, liver nodules were initially pointed out in 18.5% of the patients at the participating departments, and 31.6% were followed with imaging modalities before diagnosis. The proportion of patients under surveillance decreased, compared with that in the previous study (41.3%).

Fatty liver and detailed history of alcohol consumption

Fatty liver was observed in 502 patients (28.8%) at the time of the diagnosis of HCC. Of the 1,656 patients in whom a previous history of fatty liver disease had been documented, fatty liver was observed in 449 (27.1%) prior to the diagnosis of HCC. Of these patients, 417 (92.9%) still exhibited fatty liver at the time of the diagnosis of HCC, whereas the fatty liver had disappeared in 32 (7.1%).

Regarding alcohol consumption, 1503 (72.0%) patients were former or current drinkers. Of them, the duration of drinking was available in 890. A significant inverse relationship between the duration of drinking and the amount of daily alcohol consumption was observed (Fig. 2, P < 0.0001, Cochran-Armitage test). The presence or absence of moderation in drinking prior to the diagnosis of HCC was known for 1,181 of the 1,503 patients. A total of 414 patients had practiced moderation in drinking, and we selected another group of patients without moderation in drinking by matching the groups for sex and daily amount of alcohol consumption in a 1:1 ratio. Consequently, 311 patients were retrieved in each group. The baseline characteristics of the patients are shown in Table 2. The differences in values between the two groups were most prominent for GGT, followed by AST; the difference in the ALT values was much smaller, and no significant difference in the FIB-4 indices was seen (Supplementary Fig. 1).

Medication for diabetes, hypertension, and dyslipidemia

Regarding medications for diabetes, dipeptidyl peptidase-4 inhibitors were the most common, followed by sulfonylurea. The proportion of patients using insulin was 23.3%. Calcium channel blockers were the most common anti-hypertensive medications, followed by angiotensin II receptor blockers. Statins were used in the vast majority of patients with dyslipidemia (Supplementary Fig. 2).

Treatment and survival

The distribution of initial treatments was as follows: resection in 452 (21.7%), ablation in 394 (18.9%), ablation + TACE in 187 (9.0%), TACE in 656 (31.4%), transarterial chemotherapy with one-shot and continuous infusion in 146 (7.0%), systemic therapy in 58 (2.8%), radiation therapy in 24 (1.1%), liver transplantation in 8 (0.4%), others in 33 (1.6%), and supportive care in 129 (6.2%). The distribution was quite similar to the previous report.

During the mean follow-up period of 2.1 years, 704 patients died and 272 patients were lost to follow-up. The causes of death were cancer progression in 465 (66.1%), liver failure in 63 (8.9%), gastrointestinal bleeding (including varices rupture) in 22 (3.1%), tumor rupture in 18 (2.6%), and others in 92 (13.1%). The cause of death was unspecified in 44 (6.3%). The median survival time (95% confidence interval [CI]) after the initial diagnosis of HCC was 4.52 (4.05–5.11) years. The overall survival rates at 1, 2, 3, and 5 years were 83.9, 72.6, 61.9, and 46.4%, respectively (Fig. 3). The survival was slightly improved, compared with the previous report (P < 0.0001, log-rank test). The hazard ratio of the new cohort versus the previous cohort was 0.898 (95% CI, 0.819–0.985) in the multivariate analysis using age, gender, and tumor- and liver function-related factors (Table 3). The estimated hazard plot according to the BMI exhibited J-shaped curves in both the current and previous cohorts (Fig. 4). The shape of the curves was quite similar to the previous report, with the lowest hazard at around 26 kg/m2.

Discussion

In the present study, we confirmed that the proportion of patients with a non-viral etiology continues to increase in Japan, as reported in our previous study. The numbers of patients with diabetes mellitus, hypertension, dyslipidemia, and fatty liver had all increased, compared with the values in our previous study, whereas alcoholic consumption was similar. The increase in the proportion of non-B, non-C HCC can be partially explained by a decrease in the number of HCV-related HCC cases, since the number of HCV carriers in Japan has continued to decrease. However, when the number of patients with a non-viral etiology was calculated by multiplying the proportion observed in the present study and the annual incidences of liver cancer reported by the Japanese government (data not shown), an ongoing increase was observed.

On the other hand, tumor characteristics and liver function did not change between the two studies. Although HCC seems to have been diagnosed at a slightly earlier stage, based on the tumor marker values and the BCLC stages, the improvement was quite small considering the progress in diagnostic procedures that has been made over the past two decades. The survival of the patients was suboptimal, although it was slightly improved compared with previous reports. The identification of a strategy for identifying individuals with a high risk of developing HCC among patients with non-viral chronic liver diseases is needed to further improve patient survival.

Fatty liver is regarded as the second largest cause of cirrhosis, after chronic viral hepatitis. However, the degree of fat accumulation in the liver is known to decrease with the progression of fatty liver disease; the final stage of this disease, burned-out NASH, is thought to be a major cause of cryptogenic cirrhosis. In fact, we confirmed that at the time of HCC diagnosis, fatty liver had disappeared in 7.1% of the patients in whom fatty liver had been previously observed. Considering the high prevalences of obesity, diabetes, and hypertension in this cohort, the proportion of patients with a history of fatty liver should be larger than the proportion of patients with fatty liver observed at the time of the diagnosis of HCC.

Among the various mechanisms behind obesity-associated hepatocarcinogenesis, insulin resistance and associated hyperinsulinemia are considered to be key components. Therefore, sulfonylurea, which stimulates beta cells in the pancreas and insulin itself, may increase the risk of HCC. On the other hand, metformin reportedly decreases the risk of HCC among diabetic patients. Statins, which are used to treat dyslipidemia (a major component of metabolic syndrome), also reportedly decrease the risk of HCC. Angiotensin-converting enzyme inhibitors and angiotensin II receptor blockers may have a preventive effect on cancer development, including HCC. In the current study, we investigated the presence of prescriptions for the treatment of diabetes mellitus, dyslipidemia, and hypertension. Unfortunately, the results were unremarkable; the drug distributions were similar to those in the general population in Japan. Clarifying the relationship between prescriptions for the treatment of these diseases and the development of HCC is likely to be difficult, since the popularity and use of different classes of drugs has been changing according to drug development, the accumulation of evidence, and revisions to treatment guidelines.

Although excessive alcohol intake is known to increase the risk of HCC in both viral-related and viral-unrelated chronic liver diseases, whether a longer duration of drinking increases the risk remains controversial. Corrao et al. reported that the duration of alcohol intake, in addition to the daily intake, was a risk factor for cirrhosis. On the other hand, Donato et al. reported that while the risk of HCC development increased according to daily alcohol consumption in a linear manner, the duration of drinking and the age at the start of drinking did not affect the risk. They also reported that former drinkers had a higher risk of HCC than current drinkers. Since their study had a case–controlled design, a bias may have existed in that patients who stopped drinking might have lived longer only to eventually develop HCC, while those who continued their excessive drinking might have died from liver failure without having survived long enough to develop HCC. In the current study, we observed an inverse relationship between the duration of drinking and the amount of daily alcohol consumption. These findings suggest that moderate drinking (e.g., daily alcohol intake between 20 and 60 g) for longer than 50 years might be a risk factor for HCC. We also showed that the GGT and AST levels decreased significantly as a result of practicing moderation in drinking. Of note, the laboratory data at the time of the diagnosis of HCC might not reflect hidden risks in the past.

Interestingly, the cubic spline hazard according to the BMI exhibited a J-curve similar to that observed in our previous study. In addition, the lowest point was also the same, at around 26 kg/m2. This finding is somewhat paradoxical, since a BMI > 25 kg/m2 is reportedly a risk factor for HCC development. Regarding this obesity paradox, we previously reported that the skeletal muscle mass significantly affects the survival of HCC patients. Patients with sarcopenia, a condition in which the skeletal muscle mass is depleted, might have been included among the underweight population, which would have reduced the overall survival rate in this group.

The increase in the BMI in the present study was relatively small, whereas the increase in the proportion of patients with obesity-related disorders was more prominent. This is probably because the median age of the present cohort was 3 years older than that in the previous study, and BMI decreases in accordance with age, reflecting reductions in muscle mass.

The present study had several limitations. First, as this study did not have a control arm for patients with viral hepatitis, we cannot estimate the impact of lifestyle-related risk factors. Second, since this study was an observational study, we cannot prove the causal relationship between the increased proportion of non-viral HCC and the increasing prevalence of obesity in Japan. However, considering the fact that alcohol consumption per capita has not increased for the last 2 decades and the number of patients with diabetes is increasing in Japan, it is highly likely that the increasing prevalence of obesity among Japanese males has contributed to an increase in non-viral HCC.

In conclusion, the incidence of non-B, non-C HCC continued to increase during the current study period of 2011–2015. A strategy for early diagnosis needs to be established to improve patient survival. Moderate drinking for a long duration might be a risk factor for HCC. The study also reconfirmed that patients who were slightly overweight lived the longest.

Below is the link to the electronic supplementary material.

Figures4

From PubMed Central, U.S. National Library of Medicine. Licence: CC BY.

Trend in background liver diseases among patients with hepatocellular carcinoma in Japan. The current and previous cohorts were combined. A marked increase in the proportion of patients categorized as non-B, non-C was observed at the participating ho

Fig. 1

Full legend

Trend in background liver diseases among patients with hepatocellular carcinoma in Japan. The current and previous cohorts were combined. A marked increase in the proportion of patients categorized as non-B, non-C was observed at the participating hospitals (P < 0.0001, Cochran–Armitage test)

Open Fig. 1 full size (opens in a new tab)
Duration and daily amount of alcohol consumption. Those who consumed a larger amount of alcohol daily tended to require a shorter duration of drinking to develop hepatocellular carcinoma (P < 0.0001, Cochran–Armitage test)

Fig. 2

Full legend

Duration and daily amount of alcohol consumption. Those who consumed a larger amount of alcohol daily tended to require a shorter duration of drinking to develop hepatocellular carcinoma (P < 0.0001, Cochran–Armitage test)

Open Fig. 2 full size (opens in a new tab)
Overall survival of 2011–2015 cohort (solid line) and 1991–2010 cohort (dotted line)

Fig. 3

Full legend

Overall survival of 2011–2015 cohort (solid line) and 1991–2010 cohort (dotted line)

Open Fig. 3 full size (opens in a new tab)
Estimated hazard function of BMI. The relative hazard was lowest at a BMI of ~ 26 kg/m2 for both the 2011–2015 cohort (solid line) and the 1991–2010 cohort (dotted line)

Fig. 4

Full legend

Estimated hazard function of BMI. The relative hazard was lowest at a BMI of ~ 26 kg/m2 for both the 2011–2015 cohort (solid line) and the 1991–2010 cohort (dotted line)

Open Fig. 4 full size (opens in a new tab)

References44

  1. 1.

    de Martel C, Maucort-Boulch D, Plummer M, et al. World-wide relative contribution of hepatitis B and C viruses in hepatocellular carcinoma. Hepatology. 2015;62:1190-1200.

    Not in our library10.1002/hep.27969 (opens in a new tab)

  2. 2.

    Bertuccio P, Turati F, Carioli G, et al. Global trends and predictions in hepatocellular carcinoma mortality. J Hepatol. 2017;67:302-309.

    Not in our library10.1016/j.jhep.2017.03.011 (opens in a new tab)

  3. 3.

    Ryerson AB, Eheman CR, Altekruse SF, et al. Annual Report to the Nation on the Status of Cancer, 1975–2012, featuring the increasing incidence of liver cancer. Cancer. 2016;122:1312-1337.

    Not in our library10.1002/cncr.29936 (opens in a new tab)

  4. 4.

    Jee SH, Sull JW, Park J, et al. Body-mass index and mortality in Korean men and women. N Engl J Med. 2006;355:779-787.

    Not in our library10.1056/nejmoa054017 (opens in a new tab)

  5. 5.

    Calle EE, Rodriguez C, Walker-Thurmond K, et al. Overweight, obesity, and, mortality from cancer in a prospectively studied cohort of US adults. N Engl J Med. 2003;348:1625-1638.

    Not in our library10.1056/nejmoa021423 (opens in a new tab)

  6. 6.

    Collaboration Emerging Risk Factors. Diabetes mellitus, fasting glucose, and risk of cause-specific death. N Engl J Med. 2011;364:829-841.

    Not in our library10.1056/nejmoa1008862 (opens in a new tab)

  7. 7.

    Bhaskaran K, Douglas I, Forbes H, et al. Body-mass index and risk of 22 specific cancers: a population-based cohort study of 5.24 million UK adults. Lancet. 2014;384:755-765.

    Not in our library10.1016/s0140-6736(14)60892-8 (opens in a new tab)

  8. 8.

    Giovannucci E, Harlan DM, Archer MC, et al. Diabetes and cancer: a consensus report. CA Cancer J Clin. 2010;60:207-221.

    Not in our library10.3322/caac.20078 (opens in a new tab)

  9. 9.

    El-Serag HB, Hampel H, Javadi F. The association between diabetes and hepatocellular carcinoma: a systematic review of epidemiologic evidence. Clin Gastroenterol Hepatol. 2006;4:369-380.

    Not in our library10.1016/j.cgh.2005.12.007 (opens in a new tab)

  10. 10.

    El-Serag HB, Rudolph KL. Hepatocellular carcinoma: epidemiology and molecular carcinogenesis. Gastroenterology. 2007;132:2557-2576.

    Not in our library10.1053/j.gastro.2007.04.061 (opens in a new tab)

  11. 11.

    Islami F, Miller KD, Siegel RL, et al. Disparities in liver cancer occurrence in the United States by race/ethnicity and state. CA Cancer J Clin. 2017;67:273-289.

    Not in our library10.3322/caac.21402 (opens in a new tab)

  12. 12.

    Tateishi R, Okanoue T, Fujiwara N, et al. Clinical characteristics, treatment, and prognosis of non-B, non-C hepatocellular carcinoma: a large retrospective multicenter cohort study. J Gastroenterol. 2015;50:350-360.

    Not in our library10.1007/s00535-014-0973-8 (opens in a new tab)

  13. 13.

    The committee for revision of the Clinical Practice Guidelines for Hepatocellular Carcinoma. Clinical practice guidelines for hepatocellular carcinoma—the Japan society of hepatology 2009 update. Hepatol Res. 2010;40:16-47.

    Not in our library10.1111/j.1872-034x.2010.00655.x (opens in a new tab)

  14. 14.

    Pugh RN, Murray-Lyon IM, Dawson JL, et al. Transection of the oesophagus for bleeding oesophageal varices. Br J Surg. 1973;60:646-649.

    Not in our library10.1002/bjs.1800600817 (opens in a new tab)

  15. 15.

    Sterling RK, Lissen E, Clumeck N, et al. Development of a simple noninvasive index to predict significant fibrosis in patients with HIV/HCV coinfection. Hepatology. 2006;43:1317-1325.

    Not in our library10.1002/hep.21178 (opens in a new tab)

  16. 16.

    European Association for the Study of the Liver. EASL clinical practice guidelines: management of hepatocellular carcinoma. J Hepatol. 2018;69:182-236.

    Not in our library10.1016/j.jhep.2018.03.019 (opens in a new tab)

  17. 17.

    Japanese Society for Biomedical Research on Alcohol. Japanese Society for Biomedical Research on Alcohol Diagnostic Criteria for Alcoholic Liver Disease 2011 Edition. Available at: http://www.kanen.ncgm.go.jp/cont/010/sankou.html. Accessed 20 Oct 2018.

    Not in our library

  18. 18.

    Liver Cancer Study Group of Japan. General rules for the clinical and pathological study of primary liver cancer, second. 2003.

    Not in our library

  19. 19.

    National Cancer Center, Cancer Information Service. Cancer incidence and incidence rates in Japan in 2014. 2014. Available at: https://ganjoho.jp/reg_stat/statistics/stat/summary.html. Accessed 20 Oct 2018.

    Not in our library

  20. 20.

    Wong RJ, Aguilar M, Cheung R, et al. Nonalcoholic steatohepatitis is the second leading etiology of liver disease among adults awaiting liver transplantation in the United States. Gastroenterology. 2015;148:547-555.

    Not in our library10.1053/j.gastro.2014.11.039 (opens in a new tab)

  21. 21.

    Sherif ZA, Saeed A, Ghavimi S, et al. Global epidemiology of nonalcoholic fatty liver disease and perspectives on US minority populations. Dig Dis Sci. 2016;61:1214-1225.

    Not in our library10.1007/s10620-016-4143-0 (opens in a new tab)

  22. 22.

    Powell EE, Cooksley WG, Hanson R, et al. The natural history of nonalcoholic steatohepatitis: a follow-up study of forty-two patients for up to 21 years. Hepatology. 1990;11:74-80.

    Not in our library10.1002/hep.1840110114 (opens in a new tab)

  23. 23.

    Abdelmalek M, Ludwig J, Lindor KD. Two cases from the spectrum of nonalcoholic steatohepatitis. J Clin Gastroenterol. 1995;20:127-130.

    Not in our library10.1097/00004836-199503000-00011 (opens in a new tab)

  24. 24.

    Ong J, Younossi ZM, Reddy V, et al. Cryptogenic cirrhosis and posttransplantation nonalcoholic fatty liver disease. Liver Transpl. 2001;7:797-801.

    Not in our library10.1053/jlts.2001.24644 (opens in a new tab)

  25. 25.

    Caldwell SH, Oelsner DH, Iezzoni JC, et al. Cryptogenic cirrhosis: clinical characterization and risk factors for underlying disease. Hepatology. 1999;29:664-669.

    Not in our library10.1002/hep.510290347 (opens in a new tab)

  26. 26.

    Karagozian R, Derdak Z, Baffy G. Obesity-associated mechanisms of hepatocarcinogenesis. Metabolism. 2014;63:607-617.

    Not in our library10.1016/j.metabol.2014.01.011 (opens in a new tab)

  27. 27.

    Donadon V, Balbi M, Ghersetti M, et al. Antidiabetic therapy and increased risk of hepatocellular carcinoma in chronic liver disease. World J Gastroenterol. 2009;15:2506-2511.

    Not in our library10.3748/wjg.15.2506 (opens in a new tab)

  28. 28.

    Monami M, Lamanna C, Balzi D, et al. Sulphonylureas and cancer: a case-control study. Acta Diabetol. 2009;46:279-284.

    Not in our library10.1007/s00592-008-0083-2 (opens in a new tab)

  29. 29.

    Decensi A, Puntoni M, Goodwin P, et al. Metformin and cancer risk in diabetic patients: a systematic review and meta-analysis. Cancer Prev Res (Phila). 2010;3:1451-1461.

    Not in our library10.1158/1940-6207.capr-10-0157 (opens in a new tab)

  30. 30.

    Singh S, Singh PP, Singh AG, et al. Statins are associated with a reduced risk of hepatocellular cancer: a systematic review and meta-analysis. Gastroenterology. 2013;144:323-332.

    Not in our library10.1053/j.gastro.2012.10.005 (opens in a new tab)

  31. 31.

    George AJ, Thomas WG, Hannan RD. The renin-angiotensin system and cancer: old dog, new tricks. Nat Rev Cancer. 2010;10:745-759.

    Not in our library10.1038/nrc2945 (opens in a new tab)

  32. 32.
  33. 33.

    Oishi M, Yamazaki K, Okuguchi F, et al. Changes in oral antidiabetic prescriptions and improved glycemic control during the years 2002–2011 in Japan (JDDM32). J Diabetes Investig. 2014;5:581-587.

    Not in our library10.1111/jdi.12183 (opens in a new tab)

  34. 34.

    Ministry of Health Labour and Welfare of Japan. NDB Open data. 2016; Available from: https://www.mhlw.go.jp/stf/seisakunitsuite/bunya/0000177182.html. Accessed 20 Oct 2018.

    Not in our library

  35. 35.

    Kohro T, Yamazaki T, Sato H, et al. The impact of a change in hypertension management guidelines on diuretic use in Japan: trends in antihypertensive drug prescriptions from 2005 to 2011. Hypertens Res. 2013;36:559-563.

    Not in our library10.1038/hr.2012.216 (opens in a new tab)

  36. 36.

    Morgan TR, Mandayam S, Jamal MM. Alcohol and hepatocellular carcinoma. Gastroenterology. 2004;127:S87-S96.

    Not in our library10.1053/j.gastro.2004.09.020 (opens in a new tab)

  37. 37.

    Corrao G, Arico S, Lepore R, et al. Amount and duration of alcohol intake as risk factors of symptomatic liver cirrhosis: a case-control study. J Clin Epidemiol. 1993;46:601-607.

    Not in our library10.1016/0895-4356(93)90032-v (opens in a new tab)

  38. 38.

    Donato F, Tagger A, Gelatti U, et al. Alcohol and hepatocellular carcinoma: the effect of lifetime intake and hepatitis virus infections in men and women. Am J Epidemiol. 2002;155:323-331.

    Not in our library10.1093/aje/155.4.323 (opens in a new tab)

  39. 39.

    Ioannou GN, Splan MF, Weiss NS, et al. Incidence and predictors of hepatocellular carcinoma in patients with cirrhosis. Clin Gastroenterol Hepatol. 2007;5:938-945.

    Not in our library10.1016/j.cgh.2007.02.039 (opens in a new tab)

  40. 40.

    Ohki T, Tateishi R, Sato T, et al. Obesity is an independent risk factor for hepatocellular carcinoma development in chronic hepatitis C patients. Clin Gastroenterol Hepatol. 2008;6:459-464.

    Not in our library10.1016/j.cgh.2008.02.012 (opens in a new tab)

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