Evidence map›Paper›PMID 40156082›Full record

ArticleAlcohol, clinical & experimental research2025

Associations between clinical AUDIT-C screens and HDL cholesterol are observed across primary care patient subgroups.

Douglas Berger, Theresa E Matson, Malia Oliver, Helen E Jack, Jennifer F Bobb, 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. 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

7 authors.

Douglas BergerGeneral Medicine Service VA Puget Sound, Seattle, Washington, USA.ORCID https://orcid.org/0000-0002-8568-9163
Theresa E MatsonKaiser Permanente Washington Health Research Institute, Seattle, Washington, USA.ORCID https://orcid.org/0000-0002-4551-7981
Malia OliverKaiser Permanente Washington Health Research Institute, Seattle, Washington, USA.
Helen E JackDivision of General Internal Medicine, Department of Medicine, University of Washington School of Medicine, Seattle, Washington, USA.
Jennifer F BobbKaiser Permanente Washington Health Research Institute, Seattle, Washington, USA.
Katharine A BradleyDivision of General Internal Medicine, Department of Medicine, University of Washington School of Medicine, 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
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 R21 AA028073NIAAA NIH HHS R21AA028073NIAAA NIH HHS R33 AA028073NIAAA NIH HHS R33AA028073NIMH NIH HHS K23 MH129420NIMH NIH HHS K23MH129420
6 · The paper itself

Abstract

backgroundThe Alcohol Use Disorders Identification Test-Consumption (AUDIT-C) is a validated, scaled marker of past-year alcohol consumption that is increasingly used in population-based screening and research. Like other screening questionnaires, AUDIT-C scores are influenced by patient and system factors affecting self-report. High-density lipoprotein (HDL) cholesterol increases with alcohol consumption and is routinely measured in primary care. Researchers using AUDIT-C scores as an outcome could potentially use HDL as a population-level check on the performance of alcohol screening, for example, to assess the extent to which changes in AUDIT-C scores after an intervention reflect changes in drinking or changes in self-report. However, the association between AUDIT-C scores and HDL has only been evaluated in limited populations.

methodsCross-sectional associations between AUDIT-C scores and HDL were examined in 290,091 Kaiser Permanente Washington primary care patients who had HDL measured as part of clinical care in the 365 days before or 14 days after routine screening with the AUDIT-C. Linear regression models examined the association between AUDIT-C scores and HDL and explored effect modification by sociodemographic and clinical characteristics.

resultsAUDIT-C scores were positively associated with HDL, including for subgroups defined by age, sex, race, ethnicity, geographically estimated socioeconomic status, presence of cardiovascular disease, history of alcohol or drug treatment, tobacco use, receipt of lipid-lowering medications, and, for female patients, receipt of oral estrogen or progestin medications. Effect modification analyses showed that most sociodemographic and clinical characteristics modified the association between AUDIT-C and HDL.

conclusionsThe association between AUDIT-C and HDL is present in a range of sociodemographic and clinical subgroups. However, effect modification by sociodemographic and clinical characteristics may limit the use of that association in assessing the validity of alcohol screening scores across heterogeneous populations.

Indexed as

Alcohol DrinkingAlcoholismCholesterol, HDLPrimary Health CareAdultAgedCross-Sectional StudiesFemaleHumansMaleMiddle AgedSurveys and QuestionnairesCholesterol, HDLAUDIT‐CHDL cholesterolscreening

Identifiers

PMID40156082
PMCPMC12097930

What Socratic holds

Textmetadata
LicenceTDM
Read underepoch 390

Registered trials

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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 Socratic graph.