Evidence map›Paper›PMID 40874015›Full record

ArticleThe Lancet. Primary care2025

Estimating inequality in alcohol-related liver disease burden in the UK, 2009 to 2020: a population-based study using routinely collected data.

Zhaonan Wang, Krishnarajah Nirantharakumar, Arlene Copland, Darren Quelch, Rasiah Thayakaran, Joht Singh Chandan, James Ferguson, Matthew Brookes, Matthew Lewis, Neil Rajoriya and 6 more

Abstract read
In one paragraph

Article in The Lancet. Primary care, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

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

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

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

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

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

1 citing paper in PubMed.

  1. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

16 authors.

Zhaonan WangDepartment of Applied Health Sciences, University of Birmingham, Birmingham, UK.
Krishnarajah NirantharakumarDepartment of Applied Health Sciences, University of Birmingham, Birmingham, UK.
Arlene CoplandSandwell and West Birmingham NHS Trust, Birmingham, UK.
Darren QuelchSandwell and West Birmingham NHS Trust, Birmingham, UK.
Rasiah ThayakaranDepartment of Applied Health Sciences, University of Birmingham, Birmingham, UK.
Joht Singh ChandanDepartment of Applied Health Sciences, University of Birmingham, Birmingham, UK.
James FergusonLiver Unit, Queen Elizabeth Hospital, Birmingham, UK.
Matthew BrookesFaculty of Education, Health, and Wellbeing, Psychology Department, University of Wolverhampton, Wolverhampton, UK.
Matthew LewisUniversity Hospital of North Midlands, Stoke-on-Trent, UK.
Neil RajoriyaDepartment of Immunology and Immunotherapy, University of Birmingham, Birmingham, UK.
Nigel TrudgillSandwell and West Birmingham NHS Trust, Birmingham, UK.
Ramesh ArasaradnamClinical Sciences Research Institute, University of Warwick, Coventry, UK.
Sally BradberrySandwell and West Birmingham NHS Trust, Birmingham, UK.
Shamil HaroonDepartment of Applied Health Sciences, University of Birmingham, Birmingham, UK.
Neeraj BhalaMedical School, University of Nottingham, Nottingham, UK.
Nicola J AdderleyDepartment of Applied Health Sciences, University of Birmingham, Birmingham, UK.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: There is a need to understand the preventable burden of alcohol-related liver disease (ARLD) and to improve the identification of individuals at high risk. We aimed to establish reliable and stratified epidemiological data to understand the burden of ARLD and the inequalities in this burden related to ethnicity, socioeconomic factors, and region in the UK. Methods: Data were extracted from Clinical Practice Research Datalink Aurum, a primary care database that includes 20% of UK general practices. The study period was Jan 1, 2009, to Dec 31, 2020; all patients aged 18 years and older registered at a participating practice were eligible for inclusion. Hospital admission data were extracted from linked Hospital Episode Statistics (HES) and ARLD-specific mortality data were obtained from Office for National Statistics Death Registration Data. Several analytical approaches were used, as follows: yearly cross-sectional and cohort analyses to calculate the annual prevalence and incidence of ARLD, respectively; a retrospective, matched, open cohort study to assess all-cause mortality rates (in which patients without liver disease were matched with patients with ARLD on the basis of age, sex, ethnicity, and geographical region); and a retrospective, open cohort analysis to evaluate all-cause hospitalisation rates. Hospitalisation rates were calculated in those with ARLD only. We explored different definitions of ARLD, and our primary definition was definite ARLD (ie, a coded clinical record specifying ARLD). Incidence and prevalence were stratified by age, sex, ethnicity, deprivation (Index of Multiple Deprivation [IMD] quintile) and geographical region. Findings: During the study period, 19 534 887 patients from 1491 practices were eligible for inclusion in our study. For definite ARLD exposure, 257 544 patients were included in the all-cause mortality outcome analysis, of whom 51 510 were diagnosed with definite ARLD; while among the 50 409 patients with definite ARLD for whom HES-linked data were available, 37 142 had one or more hospital admissions. Prevalence of definite ARLD rose from 154 to 243 per 100 000 population from 2009 to 2020. Incidence increased from 18·6 to 30·3 per 100 000 person-years between 2009 and 2019, and then decreased to 24·7 per 100 000 person-years in 2020. Prevalence and incidence of ARLD by age, sex, ethnicity, geographical region, and IMD quintile increased between 2009 and 2020. The overall adjusted all-cause mortality hazard ratio (HR) for those with definite ARLD compared with no liver disease was 4·30 (95% CI 4·20-4·41). The effect of ARLD on mortality was more pronounced in younger than older age groups (eg, adjusted HR of 21·86 [95% CI 18·23-26·20]) in those aged 30-39 years Interpretation: Our findings indicate an increasing burden of ARLD in the UK. Raising awareness of disparities in health outcomes in affected groups could facilitate earlier and more targeted interventions. Funding: National Institute for Health and Care Research Clinical Research Network West Midlands.

Identifiers

PMID40874015
PMCPMC12379629

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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.