Evidence map›Paper›PMID 36317527›Full record

ArticleAlcoholism, clinical and experimental research2022

All-cause and liver-related mortality risk factors in excessive drinkers: Analysis of data from the UK biobank.

John B Whitfield, Devanshi Seth, Timothy R Morgan, GenomALC Consortium

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Article in Alcoholism, clinical and experimental research, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

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Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

4 citing papers in PubMed.

  1. Article
  2. Gene-based therapies for steatotic liver disease.Molecular therapy : the journal of the American Society of Gene Therapy · 2025
    Review
  3. Article
  4. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

4 authors.

John B WhitfieldQIMR Berghofer Medical Research Institute, Brisbane, Queensland, Australia.ORCID 0000-0002-1103-0876
Devanshi SethDrug Health Services, Royal Prince Alfred Hospital, Camperdown, New South Wales, Australia.ORCID 0000-0001-5614-1599
Timothy R MorganDepartment of Veterans Affairs, VA Long Beach Healthcare System, Long Beach, California, USA.ORCID 0000-0003-1328-0307
GenomALC Consortium

Funding

Genetic risk factors for alcoholic cirrhosis - genome-wide case-control studyR01AA018389 · NIAAA · SOUTHERN CALIFORNIA INST FOR RES/EDUC · PI CORDELL, HEATHER JANE, DALY, ANN · 2019 to 2019
$336k
Medical Research Council MC_PC_17228Medical Research Council MC_QA137853NIAAA NIH HHS R01 AA018389
6 · The paper itself

Abstract

backgroundHigh alcohol intake is associated with increased mortality. We aimed to identify factors affecting mortality in people drinking extreme amounts of alcohol.

methodsWe obtained information from the UK Biobank on approximately 500,000 participants aged 40-70 years at baseline assessment in 2006-2010. Habitual alcohol intake, lifestyle and physiological data, laboratory test results, and hospital diagnoses and death certificate data (to June 2020) for 5136 men (2.20% of male participants) and 1504 women (0.60%) who reported consuming ≥80 or ≥50 g/day, respectively, were used in survival analysis.

resultsMortality hazard ratios for these excessive drinkers, compared to all other participants, were 2.02 (95% CI 1.89-2.17) for all causes, 1.89 (1.69-2.12) for any cancer, 1.87 (1.61-2.17) for any circulatory disease, and 9.40 (7.00-12.64) for any liver disease. Liver disease diagnosis or abnormal liver function tests predicted not only deaths attributed to liver disease but also those from cancers or circulatory diseases. Mortality among excessive drinkers was also associated with quantitative alcohol intake; diagnosed alcohol dependence, harmful use, or withdrawal syndrome; and current smoking at assessment.

conclusionsPeople with chronic excessive alcohol intake experience decreased average survival, but there is substantial variation in their mortality, with liver abnormality and alcohol dependence or other alcohol use disorders associated with a worse prognosis. Clinically, patients with these risk factors and high alcohol intake should be considered for early or intensive management. Research can usefully focus on the factors predisposing to dependence or liver abnormality.

Indexed as

AlcoholismCardiovascular DiseasesAlcohol DrinkingBiological Specimen BanksFemaleHumansLiverMaleRisk FactorsUnited Kingdomalcoholalcohol dependenceall-cause mortalityexcessive drinkingliver disease

Identifiers

PMID36317527
PMCPMC10098765

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.