Evidence map›Paper›PMID 26041363›Full record

ArticleBMC public health2015

Evaluation of work-based screening for early signs of alcohol-related liver disease in hazardous and harmful drinkers: the PrevAIL study.

Penny A Cook, Michela Morleo, David Billington, Kevin Sanderson-Shortt, Colin Jones, Mark Gabbay, Nick Sheron, Mark A Bellis, Penelope A Phillips-Howard, Ian T Gilmore

Open access · goldAbstract read
In one paragraph

Article in BMC public health, 2015. 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
1.1field-weighted citation impact, top 23% of its field
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, 11 citations in OpenAlex.

  1. Outpatient management of alcohol-related liver disease.The lancet. Gastroenterology & hepatology · 2020
    Review
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

10 authors at 7 institutions in 1 country.

Penny A CookSchool of Health Sciences, University of Salford, Salford, UK. p.a.cook@salford.ac.uk.
Michela MorleoCentre for Public Health, Liverpool John Moores University, Liverpool, UK. m.j.morleo@ljmu.ac.uk.
David BillingtonSchool of Pharmacy and Biomolecular Sciences, Liverpool John Moores University, Liverpool, UK. d.billington@ljmu.ac.uk.
Kevin Sanderson-ShorttGreater Manchester Public Health Network, Manchester, UK. kevinrvs1@gmail.com.
Colin JonesFaculty of Health Education and Community, Liverpool John Moores University, Liverpool, UK. C.Jones2@ljmu.ac.uk.
Mark GabbayHealth Services Research, University of Liverpool, and Brownlow Health, Liverpool, UK. M.B.Gabbay@liverpool.ac.uk.
Nick SheronClinical Hepatology, University of Southampton, Southampton, UK. nick.sheron@soton.ac.uk.
Mark A BellisCollege of Health and Behavioural Sciences, Bangor University, Gwynedd, UK. m.a.bellis@bangor.ac.uk.
Penelope A Phillips-HowardDepartment of Clinical Sciences, Liverpool School of Tropical Medicine, Liverpool, UK. Penelope.Phillips-Howard@lstmed.ac.uk.
Ian T GilmoreUniversity of Liverpool, Liverpool, UK. I.Gilmore@liverpool.ac.uk.
Liverpool John Moores University · GBUniversity of Liverpool · GBBangor University · GBGreater Manchester Police · GBLiverpool School of Tropical Medicine · GBUniversity of Salford · GBUniversity of Southampton · GB

Funding

Medical Research Council MR/K023195/1
6 · The paper itself

Abstract

backgroundThe direct cost of excessive alcohol consumption to health services is substantial but dwarfed by the cost borne by the workplace as a result of lost productivity. The workplace is also a promising setting for health interventions. The Preventing Alcohol Harm in Liverpool and Knowsley (PrevAIL) project aimed to evaluate a mechanism for detecting the prevalence of alcohol related liver disease using fibrosis biomarkers. Secondary aims were to identify the additive effect of obesity as a risk factor for early liver disease; to assess other impacts of alcohol on work, using a cross-sectional survey.

methodsParticipants (aged 36-55 y) from 13 workplaces participated (March 2011-April 2012). BMI, waist circumference, blood pressure and self-reported alcohol consumption in the previous week was recorded. Those consuming more than the accepted UK threshold (men: >21 units; female: >14 units alcohol) provided a 20 ml venous blood sample for a biomarker test (Southampton Traffic Light Test) and completed an alcohol questionnaire (incorporating the Severity of Alcohol Dependence Questionnaire).

resultsThe screening mechanism enrolled 363 individuals (52 % women), 39 % of whom drank above the threshold and participated in the liver screen (n = 141, complete data = 124 persons). Workplaces with successful participation were those where employers actively promoted, encouraged and facilitated attendance. Biomarkers detected that 30 % had liver disease (25 %, intermediate; 5 % probable). Liver disease was associated with the frequency of visits to the family physician (P = 0.036) and obesity (P = 0.052).

conclusionsThe workplace is an important setting for addressing alcohol harm, but there are barriers to voluntary screening that need to be addressed. Early detection and support of cases in the community could avert deaths and save health and social costs. Alcohol and obesity should be addressed simultaneously, because of their known multiplicative effect on liver disease risk, and because employers preferred a general health intervention to one that focused solely on alcohol consumption.

Indexed as

WorkplaceAdultAlcohol DrinkingAlcoholismBiomarkersCross-Sectional StudiesEarly DiagnosisFemaleHumansLiver Diseases, AlcoholicMaleMiddle AgedObesityOccupational HealthPrevalenceRisk FactorsBiomarkers

Identifiers

PMID26041363
PMCPMC4455281
OpenAlexW2096482741

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.