Evidence map›Paper›PMID 41332236›Full record

ArticleAlcohol, clinical & experimental research2025

Alcohol consumption reported on routine healthcare screenings is associated with all-cause mortality in primary care patients: A retrospective cohort study.

Theresa E Matson, Jennifer F Bobb, Malia Oliver, Douglas B Berger, Helen E Jack, Tessa L Steel, Katharine A Bradley, Kevin A Hallgren

Abstract read
In one paragraph

Article in Alcohol, clinical & experimental research, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0citing papers in PubMed
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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

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.

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3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

8 authors.

Theresa E MatsonKaiser Permanente Washington Health Research Institute, Seattle, Washington, USA.ORCID https://orcid.org/0000-0002-4551-7981
Jennifer F BobbKaiser Permanente Washington Health Research Institute, Seattle, Washington, USA.
Malia OliverKaiser Permanente Washington Health Research Institute, Seattle, Washington, USA.
Douglas B BergerGeneral Medicine Service VA Puget Sound, Seattle, Washington, USA.
Helen E JackDivision of General Internal Medicine, Department of Medicine, University of Washington School of Medicine, Seattle, Washington, USA.
Tessa L SteelDivision of Pulmonary, Critical Care and Sleep Medicine, Department of Medicine, University of Washington School of Medicine, Seattle, Washington, USA.
Katharine A BradleyKaiser Permanente Washington Health Research Institute, Seattle, Washington, USA.
Kevin A HallgrenKaiser Permanente Washington Health Research Institute, Seattle, Washington, USA.ORCID https://orcid.org/0000-0001-8386-3984

Funding

Understanding practical alcohol measures in primary care to prepare for measurement-based care: Scaled EHR measures of alcohol use and DSM-5 AUD symptomsR33AA028073 · NIAAA · UNIVERSITY OF WASHINGTON · PI HALLGREN, KEVIN A. · 2021 to 2023
$1.3M
Improving the Safety of Treatment for Hospitalized Patients with Alcohol Withdrawal SyndromeK23AA030588 · NIAAA · UNIVERSITY OF WASHINGTON · PI Tessa Lynne Steel · 2022 to 2026
$940k
Practice facilitation and supervision to strengthen depression treatment in primary care in ZimbabweK23MH129420 · NIMH · UNIVERSITY OF WASHINGTON · PI Helen Elizabeth Jack · 2022 to 2026
$922k
Understanding practical alcohol measures in primary care to prepare for measurement-based care: Scaled EHR measures of alcohol use and DSM-5 AUD symptomsR21AA028073 · NIAAA · UNIVERSITY OF WASHINGTON · PI HALLGREN, KEVIN A. · 2019 to 2020
$439k
NIAAA NIH HHS K23 AA030588NIAAA NIH HHS R21 AA028073NIAAA NIH HHS R21AA028073NIAAA NIH HHS R33 AA028073NIAAA NIH HHS R33AA028073NIMH NIH HHS K23 MH129420NIMH NIH HHS K23MH129420
6 · The paper itself

Abstract

backgroundAssociations between alcohol and mortality are well documented in epidemiological studies, but whether brief alcohol screening measures administered routinely in primary care similarly predict mortality is less established. This study examined whether alcohol consumption reported on the three-item Alcohol Use Disorder Identification Test, Consumption (AUDIT-C) during routine care was associated with all-cause mortality, and secondarily, whether age and sex modified associations.

methodsThis retrospective cohort study used electronic health record data from a large integrated health system and death data from the Washington Department of Health. Adult (≥18 years) primary care patients were included if they completed an AUDIT-C screen (March 1, 2015-December 31, 2021). AUDIT-C scores were categorized: no alcohol use (0), low-risk alcohol use (1-2 female/1-3 male), moderate-risk alcohol use (3-6 female/4-6 male), high-risk alcohol use (7-8), or very high-risk alcohol use (9-12). Time-to-event (death or censoring) was measured for up to 8 years (2015-2023). Cox proportional hazards models, adjusted for demographic and clinical covariates, estimated adjusted all-cause mortality across AUDIT-C score categories, with low-risk alcohol use as the reference.

resultsAmong 531,851 primary care patients, a majority were aged 30-59 (52%), female (58%), non-Hispanic (94%), and White (70%). A total of 21,548 patients died (4.8%) during follow-up (median 1752 days). Compared to patients reporting low-risk alcohol use, those reporting no use or very high-risk use had higher mortality (hazard ratio [HR] = 1.40 [95% CI: 1.36-1.44] and HR = 1.58 [1.35-1.84], respectively); those with moderate-risk use had lower mortality (HR = 0.86 [0.83-0.90]). Associations varied by age (stronger among young adults) but not sex.

conclusionsAlcohol use reported on brief screens during routine primary care had an approximately convex association (J- or U-shaped depending on sub-population) with all-cause mortality as observed in prior epidemiological studies. Findings support the value of routine alcohol screening as a tool for identifying patients at risk for major adverse health outcomes like death.

Indexed as

Alcohol DrinkingPrimary Health CareAdultAgedCause of DeathFemaleHumansMaleMass ScreeningMiddle AgedMortalityRetrospective StudiesYoung AdultalcoholAUDIT‐Cmortalityscreeningsurvival analyses

Identifiers

PMID41332236
PMCPMC13108844

What OpenQuestion holds

Textmetadata
LicenceTDM
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.