Evidence map›Paper›PMID 34581461›Full record

ArticleAlcoholism, clinical and experimental research2021

Correlates of mild, moderate, and severe Alcohol Use Disorder among adults with problem substance use: Validity implications for DSM-5.

Zachary L Mannes, Dvora Shmulewitz, Ofir Livne, Malki Stohl, Deborah S Hasin

Open access · greenAbstract readValidation Study
In one paragraph

Article in Alcoholism, clinical and experimental research, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
15citing papers in PubMed, 2 pooled it
2.9field-weighted citation impact, top 8% 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

15 citing papers in PubMed, 2 syntheses or guidelines pooled it, 24 citations in OpenAlex.

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  9. Examination of the mild, moderate, and severe alcohol use disorder severity indicators using a nationally representative sample.Psychology of addictive behaviors : journal of the Society of Psychologists in Addictive Behaviors · 2024
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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

5 authors at 2 institutions in 1 country.

Zachary L MannesDepartment of Epidemiology, Columbia University Mailman School of Public Health, New York, New York, USA.
Dvora ShmulewitzNew York State Psychiatric Institute, New York, New York, USA.
Ofir LivneDepartment of Epidemiology, Columbia University Mailman School of Public Health, New York, New York, USA.
Malki StohlNew York State Psychiatric Institute, New York, New York, USA.
Deborah S HasinDepartment of Epidemiology, Columbia University Mailman School of Public Health, New York, New York, USA.ORCID 0000-0002-6533-7021
Columbia University Irving Medical Center · USNew York Psychoanalytic Society and Institute · 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
Phenotypes for Drug Abuse:Epidemiologic-Genetic ApproachR01DA018652 · NIDA · NEW YORK STATE PSYCHIATRIC INSTITUTE DBA RESEARCH FOUNDATION FOR MENTAL HYGIENE, INC · PI HASIN, DEBORAH S · 2004 to 2018
$5.3M
NIDA NIH HHS R01 DA018652NIDA NIH HHS T32 DA031099
6 · The paper itself

Abstract

backgroundThe DSM-5 definition of alcohol use disorder (AUD) has been well validated, but information is lacking on the extent to which alcohol use, comorbidity, and impairment are associated with the 3 DSM-5-defined AUD severity levels: mild, moderate, and severe. This study examined clinical and functional characteristics as predictors (validators) of these severity levels.

methodsParticipants aged ≥18 years reporting current problem substance use (N = 588) were recruited between 2016 and 2019 and assessed for DSM-5 AUD and a set of potential validators: indicators of alcohol use severity (i.e., craving, binge drinking frequency, problematic use, and harmful drinking), psychiatric disorders, and functional impairment. Multinomial logistic regression models examined the association between the predictors and the 3 AUD severity levels (mild, moderate, and severe) vs the reference group, no AUD, controlling for sociodemographic characteristics and other substance use.

resultsAll alcohol use validators were associated with a greater likelihood of all 3 AUD severity levels compared with the no-AUD group. However, psychiatric disorders were associated only with severe AUD and participants with major depression (aOR = 2.44), posttraumatic stress disorder (aOR = 1.65), borderline personality disorder (aOR = 1.99), and antisocial personality disorder (aOR = 1.78) had a greater likelihood of severe AUD than the no-AUD group. Functioning validators were also associated only with severe AUD and participants with social (aOR = 1.87), physical (aOR = 1.62), or mental (aOR = 1.84) impairment had a greater likelihood of severe AUD than the no-AUD group. Many alcohol-related, psychiatric, and functioning validators were associated with greater odds of severe AUD than mild or moderate AUD.

conclusionThis study supports the criterion validity of the DSM-5 tri-categorical measure of AUD. Specifically, results fully supported the validity of severe AUD by its associations with all predictors, whereas the validity of mild and moderate AUD was supported only by alcohol use predictor variables. Findings suggest the value of using severity-specific interventions utilizing the DSM-5 AUD.

Indexed as

Severity of Illness IndexAdolescentAdultAgedAlcoholismAlcohol-Related DisordersBinge DrinkingComorbidityCravingFemaleHumansMaleMental DisordersMiddle AgedSocioeconomic FactorsSubstance-Related Disordersalcohol usealcohol use disorderAUDfunctional impairmentmental health

Identifiers

PMID34581461
PMCPMC8602758
OpenAlexW3204888389

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.