Evidence map›Paper›PMID 33605439›Full record

ArticleAlcoholism, clinical and experimental research2021

Mapping data-driven individualized neurobehavioral phenotypes in heavy alcohol drinkers.

Kelly S DeMartini, Ralitza Gueorguieva, Godfrey Pearlson, Suchitra Krishnan-Sarin, Alan Anticevic, Lisa J Ji, John H Krystal, Stephanie S O'Malley

Abstract read
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 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed
1.5field-weighted citation impact, top 18% 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

11 citing papers in PubMed, 15 citations in OpenAlex.

  1. Review
  2. Observational
  3. Article
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  8. Observational
  9. Article
  10. Constructs derived from the addiction cycle predict alcohol use disorder treatment outcomes and recovery 3 years following treatment.Psychology of addictive behaviors : journal of the Society of Psychologists in Addictive Behaviors · 2023
    Article
  11. 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

8 authors at 2 institutions in 1 country.

Kelly S DeMartiniDepartment of Psychiatry, Yale Medical School, New Haven, CT, USA.ORCID 0000-0003-0943-2507
Ralitza GueorguievaDepartment of Psychiatry, Yale Medical School, New Haven, CT, USA.
Godfrey PearlsonDepartment of Psychiatry, Yale Medical School, New Haven, CT, USA.ORCID 0000-0002-7525-5185
Suchitra Krishnan-SarinDepartment of Psychiatry, Yale Medical School, New Haven, CT, USA.
Alan AnticevicDepartment of Psychiatry, Yale Medical School, New Haven, CT, USA.
Lisa J JiDepartment of Psychiatry, Yale Medical School, New Haven, CT, USA.
John H KrystalDepartment of Psychiatry, Yale Medical School, New Haven, CT, USA.
Stephanie S O'MalleyDepartment of Psychiatry, Yale Medical School, New Haven, CT, USA.ORCID 0000-0002-1976-2369
Yale University · USHartford Hospital · US

Funding

Translational Technologies CoreP50AA012870 · NIAAA · YALE UNIVERSITY · PI Matthew J Girgenti · 2001 to 2026
$43.7M
NIAAA NIH HHS AA012870NIAAA NIH HHS P50 AA012870
6 · The paper itself

Abstract

objectiveRecent studies have examined the factor structure and associated correlates of three neurofunctional domains, executive function, incentive salience, and negative emotionality in the development and maintenance of alcohol use disorders in clinical samples. The current study sought to replicate and extend prior work by testing this 3-factor model, utilizing both exact and similar phenotypic measures, as well as novel measures, in a non-treatment-seeking sample.

methodsSelf-report measures of alcohol addiction, impulsivity, behavior, and exposure to early-life stress were collected as part of baseline assessments for alcohol imaging and pharmacotherapy studies in 335 individuals. Confirmatory factor analysis (CFA) was used to examine model structure and fit. A multiple indicators, multiple causes (MIMIC) model identified predictors of latent factors identified by CFA.

resultsResults supported an intercorrelated model with three factors: executive function, incentive salience, and emotionality. All factors were associated with current AUD, and incentive salience was uniquely associated with past 30-day drinking frequency. MIMIC results identified multiple significant predictors of these latent factors, including history of alcohol use disorder, positive family history of alcohol dependence, earlier age of first drink, and a history of childhood emotional abuse and physical neglect.

conclusionsOur results support an intercorrelated 3-factor model of neurofunctional domains in alcohol use models, consistent with published findings. Because childhood physical neglect was a significant predictor of all latent factors, these results also highlight the significant negative impact of childhood neglect on later addiction development.

Indexed as

Impulsive BehaviorMotivationAdultAdverse Childhood ExperiencesAlcohol DrinkingDepressionFactor Analysis, StatisticalFemaleHumansMalePhenotypeYoung Adultalcoholdiagnosisneurofunctional domainsphenotypesstatistical modeling

Identifiers

PMID33605439
PMCPMC13037707
OpenAlexW3131327533

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.