Evidence map›Paper›PMID 42345465›Full record

ArticleAlcohol, clinical & experimental research2026

Exploring Phosphatidylethanol Cutoffs for Self-Reported Unhealthy Alcohol Use: An International Multi-Site Analysis.

Pamela M Murnane, Fan Xia, Majid Afshar, Jennifer L Brown, Gabriel Chamie, Robert L Cook, Marie Claude Couture, Ralph J DiClemente, Robin Fatch, Tekeda Ferguson and 21 more

Abstract readMulticenter Study
In one paragraph

Article in Alcohol, clinical & experimental research, 2026. 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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0cells of the map it votes in
0citing 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

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

31 authors.

Pamela M MurnaneDepartment of Epidemiology and Biostatistics and the Institute for Global Health Sciences, University of California, San Francisco, San Francisco, California, USA.
Fan XiaDepartment of Epidemiology and Biostatistics, University of California, San Francisco, San Francisco, California, USA.
Majid AfsharDepartment of Medicine, School of Medicine and Public Health, University of Wisconsin-Madison, Madison, Wisconsin, USA.
Jennifer L BrownDepartment of Psychological Sciences, Purdue University, West Lafayette, Indiana, USA.
Gabriel ChamieDepartment of Medicine, University of California, San Francisco, San Francisco, California, USA.ORCID https://orcid.org/0000-0002-5860-8081
Robert L CookDepartment of Epidemiology, University of Florida, Gainesville, Florida, USA.
Marie Claude CoutureUniversity of San Francisco, San Francisco, California, USA.
Ralph J DiClementeDepartment of Social and Behavioral Sciences, NYU School of Global Public Health, New York, New York, USA.
Robin FatchDepartment of Medicine, University of California, San Francisco, San Francisco, California, USA.
Tekeda FergusonComprehensive Alcohol-HIV/AIDS Research Center, Louisiana State University Health Sciences Center, New Orleans, Louisiana, USA.
Joel M FrancisDepartment of Family Medicine and Primary Care, School of Clinical Medicine, Faculty of Health Sciences, University of the Witwatersrand, Johannesburg, South Africa.ORCID https://orcid.org/0000-0003-1902-2683
Jessica E HabererMassachusetts General Hospital, Center for Global Health, Boston, Massachusetts, USA.
Karen R JacobsonDepartment of Medicine, Boston University Chobanian and Avedisian School of Medicine, Boston, Massachusetts, USA.
Amy C JusticeUnited States Department of Veterans Affairs, VA Connecticut Healthcare System, West Haven, Connecticut, USA.ORCID https://orcid.org/0000-0003-0139-5502
Saidi KapigaMwanza Intervention Trials Unit, Mwanza, Tanzania.
Theresa W KimDepartment of Medicine, Boston University Chobanian and Avedisian School of Medicine, Boston, Massachusetts, USA.
Evgeny KrupitskyFirst Pavlov State Medical University, St. Petersburg, Russia.
Gregory M MarcusDepartment of Medicine, University of California, San Francisco, San Francisco, California, USA.ORCID https://orcid.org/0000-0001-5197-7696
Patricia E MolinaComprehensive Alcohol-HIV/AIDS Research Center, Louisiana State University Health Sciences Center, New Orleans, Louisiana, USA.ORCID https://orcid.org/0000-0002-3598-384X
Winnie R MuyindikeDepartment of Internal Medicine, Mbarara University of Science and Technology, Mbarara, Uganda.
Bronwyn MyersCurtin enAble Institute, Faculty of Health Sciences, Curtin University, Bentley, Western Australia, Australia.ORCID https://orcid.org/0000-0003-0235-6716
Kimberly PageDepartment of Internal Medicine, University of New Mexico, Albuquerque, New Mexico, USA.ORCID https://orcid.org/0000-0002-7120-1673
Shane A PhillipsDepartment of Physical Therapy, University of Illinois at Chicago, Chicago, Illinois, USA.
Mariann R PianoCenter for Research Development and Scholarship, Vanderbilt University, Nashville, Tennessee, USA.
Veronica L RichardsTSET Health Promotion Research Center, University of Oklahoma Health Sciences, Tulsa, Oklahoma, USA.
Kaku So-ArmahDepartment of Medicine, Boston University Chobanian and Avedisian School of Medicine, Boston, Massachusetts, USA.
Scott StewartDepartment of Family Medicine, Division of Addiction Medicine, University at Buffalo, Buffalo, New York, USA.
Mark S SulkowskiSchool of Medicine, Johns Hopkins University, Baltimore, Maryland, USA.ORCID https://orcid.org/0000-0002-2145-6352
Phyllis C TienDepartment of Medicine, University of California, San Francisco, San Francisco, California, USA.
Sarah Woolf-KingDepartment of Psychology, Syracuse University, Syracuse, New York, USA.ORCID https://orcid.org/0000-0002-5612-1114
Judith A HahnDepartments of Medicine and Epidemiology and Biostatistics, University of California, San Francisco, San Francisco, California, USA.

Funding

Virology CoreP30AI027763 · NIAID · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI STEVEN Grant DEEKS · 1988 to 2026
$93.6M
URBAN ARCH (3/5) Uganda Cohort TB preventive therapy for HIV-infected alcohol users in Uganda: an evaluation of safety tolerability and adherenceU01AA020776 · NIAAA · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI HAHN, JUDITH ALISSA · 2011 to 2021
$4.7M
The impact of alcohol consumption on TB treatment outcomesR01AI119037 · NIAID · BOSTON MEDICAL CENTER · PI JACOBSON, KAREN R · 2016 to 2020
$3.3M
Interventions to reduce alcohol use and increase adherence to TB preventive therapy among HIV/TB co-infected drinkers (DIPT 1/2)U01AA026223 · NIAAA · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI HAHN, JUDITH ALISSA · 2017 to 2021
$2.8M
Changes in Alcohol Consumption in HIV Positives in UgandaR01AA018631 · NIAAA · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI HAHN, JUDITH ALISSA · 2010 to 2013
$2.0M
Training in Research Program on Alcohol Use by Persons with our at Risk for HIVK24AA022586 · NIAAA · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI HAHN, JUDITH ALISSA · 2013 to 2023
$1.8M
Bill and Melinda Gates Foundation OPP1056051NIAAA NIH HHS K24 AA022586NIAAA NIH HHS R01 AA018631NIAAA NIH HHS U01 AA020776NIAAA NIH HHS U01 AA026223NIH HHS NIH P01 AA029545, NIH U24 AA020794NIH HHS NIH R01 DA016065NIH HHS NIH R24AA019661, NIH R01 DA051464NIH HHS NIH T32 DA017629NIH HHS P30 AI027763NIH HHS R01 AA018096, K23 AA024503, U01 AA020790, U01 AA020795NIH HHS R01 AA018631NIH HHS R01 AI119037NIH HHS R01 DA016017, U01 AA022001, U10 AA013566, K24 AA022586NIH HHS U01 AA020776NIH HHS U01 AA020780, R01 AA022222, K01 AA021671, U01 AA020797NIH HHS U01 AA020784, P60 AA009803, R21 AA024535, R01 AA017911NIH HHS U01 AA026223, U01 HL146242, K24 AI108516, R01 DK109823NIH HHS U01 AA026226
6 · The paper itself

Abstract

backgroundUnhealthy alcohol use is a preventable cause of morbidity and mortality, yet screening is hampered by inaccurate reporting. Phosphatidylethanol (PEth) is a biomarker that quantifies total drinking over the past 2-4 weeks, but PEth cutoffs for unhealthy drinking have not been well-examined.

methodsWe pooled data from 22 studies (11,088 persons globally) that previously collected PEth and self-reported alcohol use. Within a 90% training set, we calculated PEth cutoffs per Youden's J in 1000 bootstrapped samples and explored differences by region, age, sex, race/ethnicity, body mass index (BMI), HIV status, hemoglobin level, and an indirect serum marker of liver fibrosis, FIB-4. For each cutoff, we estimated sensitivity, specificity, and positive and negative predictive values in a 10% validation dataset. We used two definitions for self-reported unhealthy drinking per Alcohol Use Disorders Identification Test Consumption (AUDIT-C) and National Institute on Alcohol Abuse and Alcoholism (NIAAA).

resultsOptimal PEth cutoffs using self-reported alcohol use as the reference standard differed substantially by region. The cutoff for AUDIT-C-measured unhealthy alcohol use in studies from the United States (US) was 14.0 ng/mL (95% CI: 12.3-18.6) with 73.0% sensitivity (95% CI: 67.3-79.1) and 77.4% specificity (95% CI: 73.2-81.4); and was 65.7 ng/mL (95% CI 19.3-90.7) in studies from Africa, with 71.7% sensitivity (95% CI: 64.4-78.7) and 65.2% specificity (95% CI: 58.1-72.7). Cutoffs for AUDIT-C did not differ between subgroups in the US, but within Africa, cutoffs were higher for men and lower for those with BMI ≥ 25 kg/m

conclusionsUsing self-report as the reference standard, PEth cutoffs differed substantially by region and by some other characteristics, which may be attributable to differences in PEth formation, elimination and/or reporting bias. Further work using objective gold-standard measures of alcohol consumption is needed for more definitive conclusions.

Indexed as

Alcohol DrinkingAlcoholismGlycerophospholipidsInternationalitySelf ReportAdultBiomarkersFemaleHumansMaleMiddle AgedSensitivity and SpecificityBiomarkersGlycerophospholipidsphosphatidylethanolalcohol drinkingbiomarkerscutoffsmetabolismphosphatidylethanolself‐report

Identifiers

PMID42345465
PMCPMC13296258

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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.