Evidence map›Paper›PMID 27426631›Full record

ArticleAlcoholism, clinical and experimental research2016

A Cross-National Examination of Differences in Classification of Lifetime Alcohol Use Disorder Between DSM-IV and DSM-5: Findings from the World Mental Health Survey.

Tim Slade, Wai-Tat Chiu, Meyer Glantz, Ronald C Kessler, Luise Lago, Nancy Sampson, Ali Al-Hamzawi, Silvia Florescu, Jacek Moskalewicz, Sam Murphy and 5 more

Abstract readComparative Study
In one paragraph

Article in Alcoholism, clinical and experimental research, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
20citing 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

20 citing papers in PubMed, 1 synthesis or guideline 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

15 authors.

Tim SladeNational Drug and Alcohol Research Centre, UNSW Australia, Sydney, New South Wales, Australia.
Wai-Tat ChiuDepartment of Health Care Policy, Harvard Medical School, Boston, Massachusetts.
Meyer GlantzDepartment of Epidemiology, Services, and Prevention Research (DESPR), National Institute on Drug Abuse (NIDA), National Institutes of Health (NIH), Bethesda, Maryland.
Ronald C KesslerDepartment of Health Care Policy, Harvard Medical School, Boston, Massachusetts.
Luise LagoNational Drug and Alcohol Research Centre, UNSW Australia, Sydney, New South Wales, Australia.
Nancy SampsonDepartment of Health Care Policy, Harvard Medical School, Boston, Massachusetts.
Ali Al-HamzawiCollege of Medicine, Al-Qadisiya University, Diwania governorate, Iraq.
Silvia FlorescuNational School of Public Health, Management and Professional Development, Bucharest, Romania.
Jacek MoskalewiczDepartment of Studies on Alcoholism and Drug Dependence, Institute of Psychiatry and Neurology, Warsaw, Poland.
Sam MurphySchool of Psychology, University of Ulster, Belfast, Ireland.
Fernando Navarro-MateuIMIB-Arrixaca, CIBERESP-Murcia, Subdirección General de Salud Mental y Asistencia Psiquiátrica, Servicio Murciano de Salud, El Palmar, Murcia, Spain.
Yolanda Torres de GalvisCenter for Excellence on Research in Mental Health, CES University, Medellin, Colombia.
Maria Carmen VianaDepartment of Social Medicine, Federal University of Espírito Santo, Vitoria, Brazil.
Miguel XavierNova Medical School/Faculdade Ciencias Medicas-Department of Mental Health, Faculdade de Ciências Médicas, Universidade Nova de Lisboa, Lisboa, Portugal.
Louisa DegenhardtNational Drug and Alcohol Research Centre, UNSW Australia, Sydney, New South Wales, Australia.

Funding

EPIDEMIOLOGY-- NATIONAL COMORBIDITY SURVEY REPLICATIONU01MH060220 · NIMH · HARVARD UNIVERSITY (MEDICAL SCHOOL) · PI KESSLER, RONALD C · 1999 to 2010
$18.7M
Risk Factors for Psychopathology in the WHO WMH SurveysR01MH070884 · NIMH · HARVARD UNIVERSITY (MEDICAL SCHOOL) · PI KESSLER, RONALD C · 2005 to 2009
$6.0M
Social Role Disability and Mental-Physical Co-MorbidityR01MH069864 · NIMH · KAISER FOUNDATION HEALTH PLAN OF WASHINGTON · PI VON KORFF, MICHAEL R · 2004 to 2007
$2.2M
CROSS-NATIONAL STUDIES OF DRUG INVOLVEMENT: WMH2000R01DA016558 · NIDA · MICHIGAN STATE UNIVERSITY · PI ANTHONY, JAMES CHRISTOPHER · 2003 to 2008
$1.7M
Drug Dependence Epidemiology and EnviromicsK05DA015799 · NIDA · MICHIGAN STATE UNIVERSITY · PI ANTHONY, JAMES CHRISTOPHER · 2003 to 2015
$1.4M
World Mental Health Consortium Annual Meeting 2003-07R13MH066849 · NIMH · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI HEERINGA, STEVEN G · 2003 to 2007
$735k
Lebanon-Epidemiology: The NCS Replication StudyR03TW006481 · FIC · HARVARD UNIVERSITY (MEDICAL SCHOOL) · PI KESSLER, RONALD C · 2004 to 2006
$142k
FIC NIH HHS R03 TW006481NIDA NIH HHS K05 DA015799NIDA NIH HHS R01 DA016558NIMH NIH HHS R01 MH069864NIMH NIH HHS R01 MH070884NIMH NIH HHS R13 MH066849NIMH NIH HHS U01 MH060220
6 · The paper itself

Abstract

backgroundThe current study sought to examine the diagnostic overlap in DSM-IV and DSM-5 alcohol use disorder (AUD) and determine the clinical correlates of changing diagnostic status across the 2 classification systems.

methodsDSM-IV and DSM-5 definitions of AUD were compared using cross-national community survey data in 9 low-, middle-, and high-income countries. Participants were 31,367 respondents to surveys in the World Health Organization's World Mental Health Survey Initiative. The Composite International Diagnostic Interview, version 3.0, was used to derive DSM-IV and DSM-5 lifetime diagnoses of AUD. Clinical characteristics, also assessed in the surveys, included lifetime DSM-IV anxiety; mood and drug use disorders; lifetime suicidal ideation, plan, and attempt; general functional impairment; and psychological distress.

resultsCompared with DSM-IV AUD (12.3%, SE = 0.3%), the DSM-5 definition yielded slightly lower prevalence estimates (10.8%, SE = 0.2%). Almost one-third (n = 802) of all DSM-IV abuse cases switched to subthreshold according to DSM-5 and one-quarter (n = 467) of all DSM-IV diagnostic orphans switched to mild AUD according to DSM-5. New cases of DSM-5 AUD were largely similar to those who maintained their AUD across both classifications. Similarly, new DSM-5 noncases were similar to those who were subthreshold across both classifications. The exception to this was with regard to the prevalence of any lifetime drug use disorder.

conclusionsIn this large cross-national community sample, the prevalence of DSM-5 lifetime AUD was only slightly lower than the prevalence of DSM-IV lifetime AUD. Nonetheless, there was considerable diagnostic switching, with a large number of people inconsistently identified across the 2 DSM classifications.

Indexed as

Diagnostic and Statistical Manual of Mental DisordersAdolescentAdultAgedAged, 80 and overAlcohol-Related DisordersCross-Sectional StudiesFemaleGlobal HealthHealth SurveysHumansInternationalityMaleMental HealthMiddle AgedWorld Health OrganizationAlcohol Use DisorderDSM-5DSM-IVPrevalence

Identifiers

PMID27426631
PMCPMC5129606

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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.