Evidence map›Paper›PMID 26048641›Full record

ArticleDrug and alcohol dependence2015

Inter-observer reliability of DSM-5 substance use disorders.

Cécile M Denis, Joel Gelernter, Amy B Hart, Henry R Kranzler

Abstract read
In one paragraph

Article in Drug and alcohol dependence, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
18citing 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

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

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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

4 authors.

Cécile M DenisCenter for Studies of Addiction, Department of Psychiatry, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA 19104, United States.
Joel GelernterDepartments of Psychiatry (Division of Human Genetics), Neurobiology, and Genetics, Yale University School of Medicine, New Haven, CT, United States; VA Connecticut Healthcare System, West Haven, CT 06516, United States.
Amy B HartCenter for Studies of Addiction, Department of Psychiatry, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA 19104, United States.
Henry R KranzlerCenter for Studies of Addiction, Department of Psychiatry, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA 19104, United States; VISN4 MIRECC, Philadelphia VAMC, Philadelphia, PA 19104, United States. Electronic address: kranzler@mail.med.upenn.edu.

Funding

Sex-specific analysis of opioid dependence GWAS and beyondR01DA012690 · NIDA · YALE UNIVERSITY · PI GELERNTER, JOEL · 2000 to 2017
$14.0M
GENETICS OF COCAINE DEPENDENCER01DA012849 · NIDA · YALE UNIVERSITY · PI GELERNTER, JOEL · 1999 to 2010
$11.5M
Linkage Disequilibrium Studies of Alcohol DependenceR01AA011330 · NIAAA · YALE UNIVERSITY · PI GELERNTER, JOEL · 1997 to 2013
$6.4M
T32 Translational Addiction Research Fellowship ProgramT32DA028874 · NIDA · UNIVERSITY OF PENNSYLVANIA · PI Julie A Blendy, Anna Rose Childress · 2010 to 2026
$5.0M
Novel Approaches to Alcoholism Pharmacotherapy and RiskK24AA013736 · NIAAA · UNIVERSITY OF PENNSYLVANIA · PI KRANZLER, HENRY RICHARD · 2002 to 2012
$1.5M
GENETICS OF COCAINE INDUCED PSYCHOSISR01DA012422 · NIDA · YALE UNIVERSITY · PI GELERNTER, JOEL · 2000 to 2003
$1.1M
NIAAA NIH HHS AA13736NIAAA NIH HHS K24 AA013736NIAAA NIH HHS R01 AA011330NIDA NIH HHS DA028874NIDA NIH HHS DA12422NIDA NIH HHS DA12690NIDA NIH HHS DA12849NIDA NIH HHS R01 DA012422NIDA NIH HHS R01 DA012690NIDA NIH HHS R01 DA012849NIDA NIH HHS T32 DA028874
6 · The paper itself

Abstract

aimsAlthough studies have examined the impact of changes made in DSM-5 on the estimated prevalence of substance use disorder (SUD) diagnoses, there is limited evidence concerning the reliability of DSM-5 SUDs. We evaluated the inter-observer reliability of four DSM-5 SUDs in a sample in which we had previously evaluated the reliability of DSM-IV diagnoses, allowing us to compare the two systems.

methodsTwo different interviewers each assessed 173 subjects over a 2-week period using the Semi-Structured Assessment for Drug Dependence and Alcoholism (SSADDA). Using the percent agreement and kappa (κ) coefficient, we examined the reliability of DSM-5 lifetime alcohol, opioid, cocaine, and cannabis use disorders, which we compared to that of SSADDA-derived DSM-IV SUD diagnoses. We also assessed the effect of additional lifetime SUD and lifetime mood or anxiety disorder diagnoses on the reliability of the DSM-5 SUD diagnoses.

resultsReliability was good to excellent for the four disorders, with κ values ranging from 0.65 to 0.94. Agreement was consistently lower for SUDs of mild severity than for moderate or severe disorders. DSM-5 SUD diagnoses showed greater reliability than DSM-IV diagnoses of abuse or dependence or dependence only. Co-occurring SUD and lifetime mood or anxiety disorders exerted a modest effect on the reliability of the DSM-5 SUD diagnoses.

conclusionsFor alcohol, opioid, cocaine and cannabis use disorders, DSM-5 criteria and diagnoses are at least as reliable as those of DSM-IV.

Indexed as

Diagnostic and Statistical Manual of Mental DisordersObserver VariationAdultAnxiety DisordersFemaleHumansMaleMood DisordersSubstance-Related DisordersAnxiety disordeDSM-5Mood disorderReliabilitySubstance use disorder

Identifiers

PMID26048641
PMCPMC4509850

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Registered trials

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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.