Evidence map›Paper›PMID 31957047›Full record

ArticleAlcoholism, clinical and experimental research2020

Density and Dichotomous Family History Measures of Alcohol Use Disorder as Predictors of Behavioral and Neural Phenotypes: A Comparative Study Across Gender and Race/Ethnicity.

Gayathri Pandey, Michael J Seay, Jacquelyn L Meyers, David B Chorlian, Ashwini K Pandey, Chella Kamarajan, Morton Ehrenberg, Daniel Pitti, Sivan Kinreich, Stacey Subbie-Saenz de Viteri and 11 more

Abstract readComparative Study
In one paragraph

Article in Alcoholism, clinical and experimental research, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
15citing papers in PubMed, 1 pooled it
–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

15 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
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  14. Brain Structure and Function in Recovery.Alcohol research : current reviews · 2020
    Review
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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

21 authors.

Gayathri PandeyFrom the, Department of Psychiatry and Behavioral Sciences, (GP, JLM, DBC, AKP, CK, ME, DP, S Kinreich, SS-SV, BP), Downstate Medical Center, State University of New York, Brooklyn, New York.ORCID 0000-0003-0889-3117
Michael J SeayDepartment of Psychology, (MJS), University of California, Los Angeles, California.
Jacquelyn L MeyersFrom the, Department of Psychiatry and Behavioral Sciences, (GP, JLM, DBC, AKP, CK, ME, DP, S Kinreich, SS-SV, BP), Downstate Medical Center, State University of New York, Brooklyn, New York.
David B ChorlianFrom the, Department of Psychiatry and Behavioral Sciences, (GP, JLM, DBC, AKP, CK, ME, DP, S Kinreich, SS-SV, BP), Downstate Medical Center, State University of New York, Brooklyn, New York.
Ashwini K PandeyFrom the, Department of Psychiatry and Behavioral Sciences, (GP, JLM, DBC, AKP, CK, ME, DP, S Kinreich, SS-SV, BP), Downstate Medical Center, State University of New York, Brooklyn, New York.ORCID 0000-0002-2688-7901
Chella KamarajanFrom the, Department of Psychiatry and Behavioral Sciences, (GP, JLM, DBC, AKP, CK, ME, DP, S Kinreich, SS-SV, BP), Downstate Medical Center, State University of New York, Brooklyn, New York.ORCID 0000-0003-2291-6880
Morton EhrenbergFrom the, Department of Psychiatry and Behavioral Sciences, (GP, JLM, DBC, AKP, CK, ME, DP, S Kinreich, SS-SV, BP), Downstate Medical Center, State University of New York, Brooklyn, New York.
Daniel PittiFrom the, Department of Psychiatry and Behavioral Sciences, (GP, JLM, DBC, AKP, CK, ME, DP, S Kinreich, SS-SV, BP), Downstate Medical Center, State University of New York, Brooklyn, New York.
Sivan KinreichFrom the, Department of Psychiatry and Behavioral Sciences, (GP, JLM, DBC, AKP, CK, ME, DP, S Kinreich, SS-SV, BP), Downstate Medical Center, State University of New York, Brooklyn, New York.
Stacey Subbie-Saenz de ViteriFrom the, Department of Psychiatry and Behavioral Sciences, (GP, JLM, DBC, AKP, CK, ME, DP, S Kinreich, SS-SV, BP), Downstate Medical Center, State University of New York, Brooklyn, New York.
Laura AcionIowa Consortium for Substance Abuse Research and Evaluation, (LA), University of Iowa, Iowa City, Iowa.
Andrey AnokhinDepartment of Psychiatry, (AA, VVM, KKB), Washington University School of Medicine in St. Louis, St. Louis, Missouri.
Lance BauerDepartment of Psychiatry, (LB, GC, VH), University of Connecticut School of Medicine, Farmington, Connecticut.ORCID 0000-0002-6034-1611
Grace ChanDepartment of Psychiatry, (LB, GC, VH), University of Connecticut School of Medicine, Farmington, Connecticut.ORCID 0000-0002-1257-6889
Howard EdenbergDepartment of Biochemistry and Molecular Biology, (HE), Indiana University School of Medicine, Indianapolis, Indiana.ORCID 0000-0003-0344-9690
Victor HesselbrockDepartment of Psychiatry, (LB, GC, VH), University of Connecticut School of Medicine, Farmington, Connecticut.ORCID 0000-0002-0495-8641
Samuel KupermanDepartment of Psychiatry, (S Kuperman), University of Iowa Carver College of Medicine, Iowa City, Iowa.
Vivia V McCutcheonDepartment of Psychiatry, (AA, VVM, KKB), Washington University School of Medicine in St. Louis, St. Louis, Missouri.
Kathleen K BucholzDepartment of Psychiatry, (AA, VVM, KKB), Washington University School of Medicine in St. Louis, St. Louis, Missouri.
Marc SchuckitDepartment of Psychiatry, (MS), University of California San Diego, La Jolla, California.ORCID 0000-0002-2323-7858
Bernice PorjeszFrom the, Department of Psychiatry and Behavioral Sciences, (GP, JLM, DBC, AKP, CK, ME, DP, S Kinreich, SS-SV, BP), Downstate Medical Center, State University of New York, Brooklyn, New York.

Funding

Subject CollectionU10AA008401 · NIAAA · SUNY DOWNSTATE MEDICAL CENTER · PI JESSICA E SALVATORE · 1989 to 2026
$162.7M
National Centralized Repository for Alzheimer's Disease and Related Dementias (NCRAD)U24AG021886 · NIA · INDIANA UNIV-PURDUE UNIV AT INDIANAPOLIS · PI TATIANA M. FOROUD · 2002 to 2026
$119.8M
NIAAA NIH HHS U10 AA008401NIA NIH HHS U24 AG021886
6 · The paper itself

Abstract

backgroundFamily history (FH) is an important risk factor for the development of alcohol use disorder (AUD). A variety of dichotomous and density measures of FH have been used to predict alcohol outcomes; yet, a systematic comparison of these FH measures is lacking. We compared 4 density and 4 commonly used dichotomous FH measures and examined variations by gender and race/ethnicity in their associations with age of onset of regular drinking, parietal P3 amplitude to visual target, and likelihood of developing AUD.

methodsData from the Collaborative Study on the Genetics of Alcoholism (COGA) were utilized to compute the density and dichotomous measures. Only subjects and their family members with DSM-5 AUD diagnostic information obtained through direct interviews using the Semi-Structured Assessment for the Genetics of Alcoholism (SSAGA) were included in the study. Area under receiver operating characteristic curves were used to compare the diagnostic accuracy of FH measures at classifying DSM-5 AUD diagnosis. Logistic and linear regression models were used to examine associations of FH measures with alcohol outcomes.

resultsDensity measures had greater diagnostic accuracy at classifying AUD diagnosis, whereas dichotomous measures presented diagnostic accuracy closer to random chance. Both dichotomous and density measures were significantly associated with likelihood of AUD, early onset of regular drinking, and low parietal P3 amplitude, but density measures presented consistently more robust associations. Further, variations in these associations were observed such that among males (vs. females) and Whites (vs. Blacks), associations of alcohol outcomes with density (vs. dichotomous) measures were greater in magnitude.

conclusionsDensity (vs. dichotomous) measures seem to present more robust associations with alcohol outcomes. However, associations of dichotomous and density FH measures with different alcohol outcomes (behavioral vs. neural) varied across gender and race/ethnicity. These findings have great applicability for alcohol research examining FH of AUD.

Indexed as

Sex FactorsAlcohol DrinkingAlcoholismBlack PeopleFemaleHumansMaleMedical History TakingPhenotypeRace FactorsRisk FactorsROC CurveSensitivity and SpecificityWhite PeopleAlcohol Use DisorderEndophenotypeFamily HistoryP300Risk and Development

Identifiers

PMID31957047
PMCPMC8357185

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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.