Evidence map›Paper›PMID 23347196›Full record

ArticleAlcoholism, clinical and experimental research2013

Assessment of a modified DSM-5 diagnosis of alcohol use disorder in a genetically informative population.

Alexis C Edwards, Nathan A Gillespie, Steven H Aggen, Kenneth S Kendler

Abstract readTwin Study
In one paragraph

Article in Alcoholism, clinical and experimental research, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
17citing papers in PubMed, 2 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

17 citing papers in PubMed, 2 syntheses or guidelines pooled it.

  1. Pooled it
  2. Pooled it
  3. Article
  4. Article
  5. Article
  6. Review
  7. Article
  8. Article
  9. Article
  10. Review
  11. Article
  12. Article
  13. Review
  14. Article
  15. Review
  16. Article
  17. 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

4 authors.

Alexis C EdwardsVirginia Institute for Psychiatric and Behavioral Genetics, Department of Psychiatry, Virginia Commonwealth University, Richmond, Virginia 23298-0126, USA. aedwards5@vcu.edu
Nathan A Gillespie
Steven H Aggen
Kenneth S Kendler

Funding

An Alcohol Affected Sib Pair Study of Alcohol DependenceR37AA011408 · NIAAA · VIRGINIA COMMONWEALTH UNIVERSITY · PI KENDLER, KENNETH SEEDMAN · 2007 to 2016
$6.5M
Project 3: Cross Species Characterization of Gene Networks in Acute ResponsesP20AA017828 · NIAAA · VIRGINIA COMMONWEALTH UNIVERSITY · PI ZHAO, ZHONGMING · 2009 to 2012
$2.2M
Genetic & environmental pathways to drug use, abuse & dependenceR00DA023549 · NIDA · VIRGINIA COMMONWEALTH UNIVERSITY · PI GILLESPIE, NATHAN ALEXANDER · 2010 to 2012
$717k
Genetic influences on developmental heterogeneity of alcohol use disorderK01AA021399 · NIAAA · VIRGINIA COMMONWEALTH UNIVERSITY · PI EDWARDS, ALEXIS C · 2012 to 2016
$707k
Genetic & environmental pathways to drug use, abuse & dependenceK99DA023549 · NIDA · VIRGINIA COMMONWEALTH UNIVERSITY · PI GILLESPIE, NATHAN ALEXANDER · 2008 to 2009
$166k
Genetic Influences on the Overlap Between Internalizing and Alcohol ProblemsF32AA019849 · NIAAA · VIRGINIA COMMONWEALTH UNIVERSITY · PI EDWARDS, ALEXIS C · 2010 to 2011
$106k
NIAAA NIH HHS F32 AA019849NIAAA NIH HHS F32AA019849NIAAA NIH HHS K01 AA021399NIAAA NIH HHS P20 AA017828NIAAA NIH HHS P20AA017828NIAAA NIH HHS R37 AA011408NIAAA NIH HHS R37AA011408NIDA NIH HHS K99 DA023549NIDA NIH HHS R00 DA023549NIDA NIH HHS R00DA023549
6 · The paper itself

Abstract

backgroundProposed changes to the upcoming DSM-5 include the following: (i) combining criteria for DSM-IV alcohol abuse (AA) and alcohol dependence (AD) into 1 diagnostic category (alcohol use disorder [AUD]); (ii) exclusion of the "legal problems" (LP) criterion; and (iii) addition of a "craving" criterion. Few published studies empirically assess the potential consequences of the proposed changes.

methodsUsing a population-based sample of twins assessed for lifetime AA/AD diagnoses, we explored phenotypic differences across DSM-IV and a modified DSM-5 diagnoses without craving because of its unavailability in the data set. We used factor analysis and item response theory (IRT) to evaluate the potential consequences of excluding the LP criterion from AUD and used twin modeling to examine genetic differences between DSM-IV and the modified DSM-5 diagnoses.

resultsThe prevalence of AUD was slightly higher than that of DSM-IV diagnoses. Individuals meeting DSM-IV or DSM-5 criteria, but not both, exhibit fewer comorbid diagnoses than those meeting both sets of criteria. Individuals meeting only DSM-5 criteria were slightly less severely affected than those meeting only DSM-IV criteria. Factor analysis indicated that the LP criterion loading is the lowest of all symptoms; IRT analysis suggested that this criterion has low discriminatory power. The genetic correlation between DSM-IV and DSM-5 diagnoses was slightly but significantly lower than unity.

conclusionsThe proposed DSM-5 AUD criteria are unlikely to result in significant changes in prevalence of diagnosed alcohol problems. However, it is unclear whether the new criteria represent a more valid diagnosis: new cases are no more severely affected than DSM-IV-only cases. Given the psychometric properties of LP, its exclusion should not negatively impact diagnostic validity. Similarly, the stable heritability across DSM-IV and DSM-5 diagnoses suggests that the proposed changes will not have substantial negative consequences in terms of familial influences, a key validator. These results provide equivocal empirical support for the proposed DSM-5 changes for AUDs.

Indexed as

Diagnostic and Statistical Manual of Mental DisordersModels, GeneticAlcohol-Related DisordersFemaleHumansMalePopulation SurveillanceYoung Adult

Identifiers

PMID23347196
PMCPMC3586296

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.