Evidence map›Paper›PMID 35993432›Full record

ArticleAddiction (Abingdon, England)2023

Using the alcohol use disorders identification test to predict hospital admission for alcohol-related conditions in the Danish general population: a record-linkage study.

Julie Brummer, Kim Bloomfield, Katherine J Karriker-Jaffe, Michael Mulbjerg Pedersen, Morten Hesse

Open access · bronzeAbstract read
In one paragraph

Article in Addiction (Abingdon, England), 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
1.7field-weighted citation impact, top 16% 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

9 citing papers in PubMed, 11 citations in OpenAlex.

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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

5 authors at 3 institutions in 3 countries.

Julie BrummerCentre for Alcohol and Drug Research, Aarhus University, Copenhagen, Denmark.ORCID 0000-0002-4811-7430
Kim BloomfieldCentre for Alcohol and Drug Research, Aarhus University, Copenhagen, Denmark.ORCID 0000-0002-9740-126X
Katherine J Karriker-JaffeRTI International, Berkeley, CA, USA.ORCID 0000-0002-2019-0222
Michael Mulbjerg PedersenCentre for Alcohol and Drug Research, Aarhus University, Aarhus, Denmark.
Morten HesseCentre for Alcohol and Drug Research, Aarhus University, Copenhagen, Denmark.ORCID 0000-0002-6849-6554
University of Copenhagen · DKAarhus University · DKInternational Computer Science Institute · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

BACKGROUND AND

aimsMost studies validating the alcohol use disorders identification test (AUDIT) have either assessed its factor structure and/or test-retest reliability or used diagnostic interviews as validators of current alcohol use disorders. The aim of the present study was to determine whether AUDIT and AUDIT-Consumption (AUDIT-C) scores are associated with subsequent risk of hospital admission for alcohol-related disorders and diseases (ARDDs).

designWe used a historical cohort study. Using national registers, survey respondents were tracked from 1 September 2011 to hospitalization for an ARDD, emigration, death, or 31 December 2018, whichever occurred first.

settingDenmark.

participantsRespondents (n = 4522) from a Danish national survey conducted in autumn 2011. MEASUREMENTS: Outcome was incident ARDD admission recorded in the National Patient Register. Predictors were AUDIT and AUDIT-C scores, and covariates were age, gender, highest level of education and previous psychiatric disorder.

findingsDuring the study period, 56 respondents had a first-time ARDD admission. Respondents who scored above the 8-point AUDIT cut-off and respondents who scored above the 5-point AUDIT-C cut-off had a significantly increased risk of being admitted for an ARDD compared with respondents who scored below the cut-offs, (AUDIT: hazard ratio (HR), 4.72; 95% CI, 2.59-8.60; AUDIT-C: HR, 7.97; 95% CI, 3.66-17.31).

conclusionsScores above alcohol use disorders identification test (AUDIT) and AUDIT-Consumption (AUDIT-C) cut-offs are associated with an increased risk of long-term alcohol-related hospital admissions. At widely used cut-offs, the AUDIT-C is a better predictor of alcohol-related hospitalizations among members of the general population than the full AUDIT.

Indexed as

AlcoholismAlcohol-Related DisordersCohort StudiesDenmarkHospitalizationHospitalsHumansReproducibility of ResultsSurveys and QuestionnairesAlcoholAUDITAUDIT-Ccohorthospitalizationregistriesscreeningvalidation

Identifiers

PMID35993432
PMCPMC10087303
OpenAlexW4292603131

What OpenQuestion holds

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LicenceCC BY-NC
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.