Alcoholic Liver Disease
Open accessAbstract
In this review we critically assess the literature to evaluate the level of risk posed by alcohol as both a primary etiology of hepatocellular carcinoma (HCC) and as a cofactor in its development. Although there have been conflicting findings, based on the body of evidence to date, it appears that the linkage between compensated alcoholic liver disease-associated cirrhosis and HCC is best characterized as medium-high risk, with the risk increasing with age and with quantity and duration of alcohol consumption and is more pronounced in females. While abstinence is the most effective way to reduce HCC risk, its effect seems largely dependent on the severity of liver damage at the point of cessation. Alcohol clearly interacts with other etiologies and conditions including viral hepatitis B and C, hereditary hemochromatosis, diabetes, and obesity to increase the risk for developing HCC, either synergistically or additively. Continued progress in genetics, especially through mechanistic-based and genome-wide association studies may ultimately identify which single nucleotide polymorphisms are risk factors for the onset of alcoholic liver disease and its progression to HCC and lead to the development of targeted therapeutics which may help providers better manage at-risk patients.
Integrity signals
Registry
Cites
Statistics
Claims the paper makes
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
Some subgroups-patients with cirrhosis, men, those over 55 years, anti-HBc-positive individuals and those with high cumulative alcohol consumption-may have a 10-year hepatocellular carcinoma risk above 40%.
“Moreover, subgroups of patients, such as those with cirrhosis, men, patients >55 years of age, individuals positive for antibodies against hepatitis B core protein (anti-HBc) as well as patients with high cumulative consumption of alcohol, might have extremely high risk development for HCC development, risk that may be >40% in a 10-year period42.”
From The gut microbiome and liver cancer: mechanisms and clinical translation (2017) · cites this paper as [42]
The citation lists haven’t been fetched yet
References 70 · Cited by 58
- Authors
- Joshi, K., Kohli, A., Manch, R., & Gish, R.
- Affiliations
- St. Joseph's Hospital and Medical Center (US)
- Creighton University (US)
- Corresponding author
- Gish, Robert
- Venue
- Clinics in Liver Disease
- Publisher
- Elsevier BV
- Published
- 2016-08
- Volume
- 20
- Issue
- 3
- Pages
- 563-580
- ISSN
- 1089-3261 (ISSN-L)
- OpenAlex
- W2473481878
- Cited by
- 58
- References
- 70
- Citations by year
- 2026: 2 · 2025: 1 · 2024: 5 · 2023: 4 · 2022: 5 · 2021: 8 · 2020: 8 · 2019: 9 · 2018: 5 · 2017: 10
- FWCI
- 1.26
- Type
- journal article
- Language
- en
- Open access
- hybrid
- doi.org
- Licence
- Locations
- Clinics in Liver Disease (publishedVersion, cc-by-nc-nd)
- PubMed (publishedVersion)
- Creighton Digital Repository (CDR) (submittedVersion)
- Topics
- Health Sciences › Medicine › Pathology and Forensic Medicine › Alcohol Consumption and Health Effects
- Health Sciences › Medicine › Hepatology › Hepatocellular Carcinoma Treatment and Prognosis
- Health Sciences › Medicine › Hepatology › Liver physiology and pathology
- Keywords
- alcoholic liver disease, hepatocellular carcinoma, alcohol consumption, liver cirrhosis, cancer risk factors, alcohol abstinence, hepatitis B, hepatitis C, hemochromatosis, diabetes mellitus, obesity, sex differences, single nucleotide polymorphisms, genome-wide association study
- MeSH terms
- Alcohol Drinking, Female, Hemochromatosis, Carcinoma, Hepatocellular, Humans, Liver Cirrhosis, Alcoholic, Liver Diseases, Alcoholic, Liver Neoplasms, Male, Obesity, Risk Factors, Hepatitis B, Chronic, Hepatitis C, Chronic, Polymorphism, Single Nucleotide, Diabetes Complications, Alcohol Abstinence
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review