Evidence map›Paper›PMID 27019218›Full record

SynthesisPsychological medicine2016

Meta-analysis of DSM alcohol use disorder criteria severities: structural consistency is only 'skin deep'.

S P Lane, D Steinley, K J Sher

Abstract readMeta-Analysis
In one paragraph

Synthesis in Psychological medicine, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 40 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
40citing 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

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

  1. Pooled it
  2. Pooled it
  3. Trial
  4. Article
  5. Daily Life Assessment of Seven Alcohol-Use-Disorder Symptoms.Clinical psychological science : a journal of the Association for Psychological Science · 2026
    Article
  6. Article
  7. Article
  8. Article
  9. Rasch analysis of DSM-5 alcohol use disorder in a large inpatient sample.Alcohol, clinical & experimental research · 2025
    Article
  10. Article
  11. 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
    Article
  12. Article
  13. Article
  14. Predictors of symptom course in alcohol use disorder.Alcohol, clinical & experimental research · 2023
    Article
  15. Article
  16. Article
  17. Review
  18. Article
  19. Article
  20. 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

3 authors.

S P LaneUniversity of Missouri and the Midwest Alcoholism Research Center,Columbia, MO,USA.
D SteinleyUniversity of Missouri and the Midwest Alcoholism Research Center,Columbia, MO,USA.
K J SherUniversity of Missouri and the Midwest Alcoholism Research Center,Columbia, MO,USA.

Funding

Psychology of Alcohol Use and Dependence TrainingT32AA013526 · NIAAA · UNIVERSITY OF MISSOURI-COLUMBIA · PI DENIS M MCCARTHY, KENNETH JAMES SHER · 2002 to 2026
$9.0M
Alcohol and Adult Development: Understanding Etiology and ConsequencesK05AA017242 · NIAAA · UNIVERSITY OF MISSOURI-COLUMBIA · PI SHER, KENNETH JAMES · 2007 to 2016
$2.1M
Refining the Diagnosis of Alcohol Use Disorder: A Comprehensive ApproachR01AA024133 · NIAAA · UNIVERSITY OF MISSOURI-COLUMBIA · PI SHER, KENNETH JAMES, STEINLEY, DOUGLAS L · 2015 to 2018
$2.1M
Robust person-centered longitudinal data analysis for clinical alcohol researchR01AA023248 · NIAAA · UNIVERSITY OF MISSOURI-COLUMBIA · PI STEINLEY, DOUGLAS L · 2014 to 2016
$1.1M
NIAAA NIH HHS K05 AA017242NIAAA NIH HHS R01 AA023248NIAAA NIH HHS R01 AA024133NIAAA NIH HHS T32 AA013526
6 · The paper itself

Abstract

backgroundItem response theory (IRT) analyses of alcohol use disorder (AUD) and other psychological disorders are a predominant method for assessing overall and individual criterion severity for psychiatric diagnosis. However, no investigation has established the consistency of the relative criteria severities across different samples.

methodPubMed/Medline, PsycINFO, Web of Science and ProQuest databases were queried for entries relating to alcohol use and IRT. Study data were extracted using a standardized data entry sheet. Consistency of reported criteria severities across studies was analysed using generalizability theory to estimate generalized intraclass correlations (ICCs).

resultsA total of 451 citations were screened and 34 papers (30 unique samples) included in the research synthesis. The AUD criteria set exhibited low consistency in the ordering of criteria using both traditional [ICC = 0.16, 95% confidence interval (CI) 0.06-0.56] and generalized (ICC = 0.18, 95% CI 0.15-0.21) approaches. These results were partially accounted for by previously studied factors such as age and type of sample (e.g. clinical v. community), but the largest source of unreliability was the diagnostic instrument employed.

conclusionsDespite the robust finding of unidimensional structure of AUDs, inconsistency in the relative severities across studies suggests low replicability, challenging the generalizability of findings from any given study. Explicit modeling of well-studied factors like age and sample type is essential and increases the generalizability of findings. Moreover, while the development of structured diagnostic interviews is considered a landmark contribution toward improving psychiatric research, variability across instruments has not been fully appreciated and is substantial.

Indexed as

AlcoholismAlcohol-Related DisordersDiagnostic and Statistical Manual of Mental DisordersHumansReproducibility of ResultsSeverity of Illness IndexAlcohol use disordergeneralizability theoryitem response theorymeta-analysesseverity

Identifiers

PMID27019218
PMCPMC4894493

What OpenQuestion holds

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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.