Evidence map›Paper›PMID 35275407›Full record

ArticleAlcoholism, clinical and experimental research2022

Alcohol withdrawal in past-year drinkers with unhealthy alcohol use: Prevalence, characteristics, and correlates in a national epidemiologic survey.

Ofir Livne, Richard Feinn, Justin Knox, Emily E Hartwell, Joel Gelernter, Deborah S Hasin, Henry R Kranzler

Open access · greenAbstract read
In one paragraph

Article in Alcoholism, clinical and experimental research, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed, 1 pooled it
1.1field-weighted citation impact, top 22% 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

7 citing papers in PubMed, 1 synthesis or guideline pooled it, 11 citations in OpenAlex.

  1. Pooled it
  2. Review
  3. Article
  4. Identifying levels of alcohol use disorder severity in electronic health records.Substance abuse treatment, prevention, and policy · 2025
    Article
  5. Article
  6. Article
  7. 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 at 5 institutions in 1 country.

Ofir LivneDepartment of Epidemiology, Columbia University Mailman School of Public Health, New York, New York, USA.ORCID 0000-0001-6673-0231
Richard FeinnDepartment of Medical Sciences, Frank H. Netter School of Medicine at Quinnipiac University, North Haven, Connecticut, USA.ORCID 0000-0002-4158-7640
Justin KnoxDepartment of Psychiatry, Columbia University Vagelos College of Physicians & Surgeons, New York, New York, USA.ORCID 0000-0001-6771-8138
Emily E HartwellDepartment of Psychiatry, University of Pennsylvania Perelman School of Medicine and Mental Illness Research, Education and Clinical Center, Crescenz Veterans Affairs Medical Center, Philadelphia, Pennsylvania, USA.ORCID 0000-0002-5137-9714
Joel GelernterDepartment of Psychiatry, Yale University School of Medicine and VA CT Healthcare Center, West Haven, Connecticut, USA.ORCID 0000-0002-4067-1859
Deborah S HasinDepartment of Psychiatry, Columbia University Vagelos College of Physicians & Surgeons, New York, New York, USA.ORCID 0000-0002-6533-7021
Henry R KranzlerDepartment of Psychiatry, University of Pennsylvania Perelman School of Medicine and Mental Illness Research, Education and Clinical Center, Crescenz Veterans Affairs Medical Center, Philadelphia, Pennsylvania, USA.ORCID 0000-0002-1018-0450
Columbia University · USPhiladelphia VA Medical Center · USNew York Psychoanalytic Society and Institute · USQuinnipiac University · USYale University · US

Funding

Substance Abuse Epidemiology Training Program (SAETP) at Columbia UniversityT32DA031099 · NIDA · COLUMBIA UNIVERSITY HEALTH SCIENCES · PI DEBORAH S HASIN, Silvia Saboia Martins · 2012 to 2026
$6.1M
Genetics of Alcohol Dependence in African Americans: RecruitmentR01AA026364 · NIAAA · YALE UNIVERSITY · PI GELERNTER, JOEL · 2018 to 2022
$2.0M
Drinking levels (binge, volume) and alcohol consequences: using national data to identify clinical trial endpoints - Administrative SupplementR01AA025309 · NIAAA · NEW YORK STATE PSYCHIATRIC INSTITUTE DBA RESEARCH FOUNDATION FOR MENTAL HYGIENE, INC · PI HASIN, DEBORAH S · 2016 to 2021
$925k
Intervening to improve HIV treatment and reduce drinking in young, black men who have sex with menK01AA028199 · NIAAA · NEW YORK STATE PSYCHIATRIC INSTITUTE DBA RESEARCH FOUNDATION FOR MENTAL HYGIENE, INC · PI KNOX, JUSTIN · 2020 to 2024
$865k
NIAAA NIH HHS K01 AA028199NIAAA NIH HHS R01 AA025309NIAAA NIH HHS R01 AA026364NIDA NIH HHS T32 DA031099
6 · The paper itself

Abstract

backgroundDespite its potential to produce serious adverse outcomes, DSM-5 alcohol withdrawal syndrome (AWS) has not been widely studied in the general population.

methodsWe used cross-sectional data from 36,309 U.S. adults from the 2012-2013 National Epidemiologic Survey on Alcohol and Related Conditions-III to examine the past-year prevalence of AWS and its correlates. We focused on an important clinical population-past-year drinkers with unhealthy alcohol use-i.e., those with a positive score on the Alcohol Use Disorders Identification Test-Consumption (AUDIT-C) questionnaire. We also examined the association of AWS with sociodemographic measures, psychiatric disorders, alcohol-related measures, and healthcare utilization.

resultsApproximately one-third (n = 12,634) of respondents reported unhealthy alcohol use (AUDIT-C+). Of these, 14.3% met criteria for a DSM-5 AWS diagnosis. The mean (SE) number of withdrawal symptoms among individuals with AWS was 2.83 (1.88), with the most common being nausea/vomiting and insomnia (19.8% and 11.6%, respectively). Among AUDIT-C+ respondents, the odds of AWS were significantly higher among males (adjusted odds ratio [aOR] = 1.17 [95% CI, 1.02-1.33]), unmarried participants (aOR = 1.55 [95% CI, 1.25-1.92]), and those at the lowest (vs. highest) income levels (aOR = 1.62 [95% CI, 1.37-1.92]). Among AUDIT-C+ respondents, AWS was also associated with psychiatric disorders (with aORs that ranged from 2.08 [95% CI, 1.79-2.41]) for major depressive disorder to 3.14 (95% CI, 1.79-2.41) for borderline personality disorder. AUDIT-C+ respondents with AWS also had higher odds of past-year alcohol use disorder (aOR = 11.2 [95% CI, 9.66-13.07]), other alcohol-related features (e.g., binge drinking), and healthcare utilization.

conclusionsAmong individuals with unhealthy alcohol use, AWS is prevalent, highly comorbid, and disabling. Given the risk of AWS among unhealthy drinkers, a comparatively large segment of the general population, clinicians should seek to identify individuals with AWS and intervene with them to prevent serious adverse outcomes.

Indexed as

AlcoholismMajor Depressive DisorderSubstance Withdrawal SyndromeAdultAlcohol DrinkingCross-Sectional StudiesEthanolFemaleHumansMalePrevalenceEthanolalcohol use disorderalcohol withdrawalAUDIT-Cunhealthy alcohol use

Identifiers

PMID35275407
PMCPMC8928097
OpenAlexW4220721123

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.