Evidence map›Paper›PMID 25978823›Full record

ArticleJournal of studies on alcohol and drugs2015

Nosologic Comparisons of DSM-IV and DSM-5 Alcohol and Drug Use Disorders: Results From the National Epidemiologic Survey on Alcohol and Related Conditions-III.

Risë B Goldstein, S Patricia Chou, Sharon M Smith, Jeesun Jung, Haitao Zhang, Tulshi D Saha, Roger P Pickering, W June Ruan, Boji Huang, Bridget F Grant

Abstract readComparative Study
In one paragraph

Article in Journal of studies on alcohol and drugs, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 50 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
50citing papers in PubMed, 3 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

50 citing papers in PubMed, 3 syntheses or guidelines pooled it.

  1. Pooled it
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  3. Psychosocial interventions for cannabis use disorder.The Cochrane database of systematic reviews · 2016
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  10. 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
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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

10 authors.

Risë B GoldsteinLaboratory of Epidemiology and Biometry, Division of Intramural Clinical and Biological Research, National Institute on Alcohol Abuse and Alcoholism, National Institutes of Health, Bethesda, Maryland.
S Patricia ChouLaboratory of Epidemiology and Biometry, Division of Intramural Clinical and Biological Research, National Institute on Alcohol Abuse and Alcoholism, National Institutes of Health, Bethesda, Maryland.
Sharon M SmithLaboratory of Epidemiology and Biometry, Division of Intramural Clinical and Biological Research, National Institute on Alcohol Abuse and Alcoholism, National Institutes of Health, Bethesda, Maryland.
Jeesun JungLaboratory of Epidemiology and Biometry, Division of Intramural Clinical and Biological Research, National Institute on Alcohol Abuse and Alcoholism, National Institutes of Health, Bethesda, Maryland.
Haitao ZhangLaboratory of Epidemiology and Biometry, Division of Intramural Clinical and Biological Research, National Institute on Alcohol Abuse and Alcoholism, National Institutes of Health, Bethesda, Maryland.
Tulshi D SahaLaboratory of Epidemiology and Biometry, Division of Intramural Clinical and Biological Research, National Institute on Alcohol Abuse and Alcoholism, National Institutes of Health, Bethesda, Maryland.
Roger P PickeringLaboratory of Epidemiology and Biometry, Division of Intramural Clinical and Biological Research, National Institute on Alcohol Abuse and Alcoholism, National Institutes of Health, Bethesda, Maryland.
W June RuanLaboratory of Epidemiology and Biometry, Division of Intramural Clinical and Biological Research, National Institute on Alcohol Abuse and Alcoholism, National Institutes of Health, Bethesda, Maryland.
Boji HuangLaboratory of Epidemiology and Biometry, Division of Intramural Clinical and Biological Research, National Institute on Alcohol Abuse and Alcoholism, National Institutes of Health, Bethesda, Maryland.
Bridget F GrantLaboratory of Epidemiology and Biometry, Division of Intramural Clinical and Biological Research, National Institute on Alcohol Abuse and Alcoholism, National Institutes of Health, Bethesda, Maryland.

Funding

National Epidemiologic Survey on Alcohol and Related Conditions (NESARC) - IIIZIAAA000449 · NIAAA · NATIONAL INSTITUTE ON ALCOHOL ABUSE AND ALCOHOLISM · PI GRANT, BRIDGET F · 2009 to 2016
$16.5M
Intramural NIH HHS
6 · The paper itself

Abstract

objectiveThe purpose of this study was to examine prevalences and concordances between Diagnostic and Statistical Manual of Mental Disorders, Fourth Edition (DSM-IV), and Fifth Edition (DSM-5) substance use disorders (SUDs) in a newly completed U.S. epidemiologic survey.

methodThe National Epidemiologic Survey on Alcohol and Related Conditions-III surveyed 36,309 civilian, noninstitutionalized adults. SUDs were assessed using the Alcohol Use Disorder and Associated Disabilities Interview Schedule-5. Concordances between DSM-IV and DSM-5 disorders were assessed using kappa statistics.

resultsPrevalences of past-year substance-specific DSM-5 disorders (2+ criteria) were modestly higher than those of DSM-IV dependence and abuse combined for alcohol, sedatives/tranquilizers, opioids, and heroin, but lower for cannabis, cocaine, and stimulants. Lifetime prevalences were lower under DSM-5. Prevalences were similar between moderate to severe (4+ criteria) DSM-5 disorders and dependence, whereas prevalences of DSM-5 disorders at 3+ criteria (DSM-5 [3+]) were higher, particularly for cannabis. Past-year concordances were excellent for DSM-IV dependence and abuse combined versus any DSM-5 and DSM-IV dependence versus DSM-5 moderate to severe disorders; lifetime concordances were fair to excellent. Past-year concordances between DSM-IV and DSM-5 (3+) were generally similar to or modestly higher than those with any DSM-5 disorder; lifetime concordances were mostly lower.

conclusionsFindings are consistent with those informing the development of DSM-5. Future research should examine differences in patterns between past-year and lifetime disorders, particularly for cannabis. Other questions warranting investigation include whether different combinations of the same numbers of criteria carry different clinical or nosologic implications, whether changes innosology yield changes in treatment demand, and whether changes in characteristics of individuals with DSM-5 SUDs dictate modifications to screening and intervention.

Indexed as

Diagnostic and Statistical Manual of Mental DisordersAdolescentAlcoholismAlcohol-Related DisordersFemaleHumansMalePrevalenceSubstance-Related DisordersSurveys and QuestionnairesUnited StatesYoung Adult

Identifiers

PMID25978823
PMCPMC4440296

What OpenQuestion holds

Textmetadata
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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.