Evidence map›Paper›PMID 20459887›Full record

ArticlePsychological medicine2011

Abuse and dependence on prescription opioids in adults: a mixture categorical and dimensional approach to diagnostic classification.

L-T Wu, G E Woody, C Yang, J-J Pan, D G Blazer

Abstract read
In one paragraph

Article in Psychological medicine, 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.

0numbers the graph read from it
0cells of the map it votes in
16citing papers in PubMed
–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

16 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. The use of latent variable mixture models to identify invariant items in test construction.Quality of life research : an international journal of quality of life aspects of treatment, care and rehabilitation · 2018
    Article
  5. Article
  6. Article
  7. Review
  8. Article
  9. Depressive symptoms among adolescents and older adults in Mexico City.Social psychiatry and psychiatric epidemiology · 2014
    Article
  10. Article
  11. Review
  12. Measuring Outcome in the Treatment of Cocaine Dependence.Journal of alcoholism and drug dependence · 2013
    Article
  13. Article
  14. Article
  15. Article
  16. 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

5 authors.

L-T WuDepartment of Psychiatry and Behavioral Sciences, Duke University School of Medicine, Duke Clinical Research Institute, Durham, NC 27710, USA. litzy.wu@duke.edu
G E Woody
C Yang
J-J Pan
D G Blazer

Funding

Delaware Valley Node of the Clinical Trials NetworkU10DA013043 · NIDA · UNIVERSITY OF PENNSYLVANIA · PI WOODY, GEORGE EDWARD · 1999 to 2015
$25.8M
Treatment/Substance Use Disorders/HIV Risk ReductionK05DA017009 · NIDA · UNIVERSITY OF PENNSYLVANIA · PI WOODY, GEORGE EDWARD · 2003 to 2012
$1.3M
MDMA and Other Hallucinogen Use: Onset and Abuse/DependenceR01DA019623 · NIDA · DUKE UNIVERSITY · PI WU, LI-TZY · 2007 to 2013
$1.1M
Epdemiology of Non-Medical Prescription Anagesic UseR01DA019901 · NIDA · DUKE UNIVERSITY · PI WU, LI-TZY · 2007 to 2009
$416k
Classification of Substance Use Severity and Treatment Outcomes: NIDA CTN StudiesR21DA027503 · NIDA · DUKE UNIVERSITY · PI WU, LI-TZY · 2009 to 2009
$302k
NIDA NIH HHS K05 DA017009NIDA NIH HHS K05DA017009NIDA NIH HHS R01 DA019623NIDA NIH HHS R01DA019623NIDA NIH HHS R01 DA019901NIDA NIH HHS R01DA019901NIDA NIH HHS R21 DA027503NIDA NIH HHS R21DA027503NIDA NIH HHS U10 DA013043NIDA NIH HHS U10DA013043
6 · The paper itself

Abstract

backgroundFor the emerging DSM-V, it has been recommended that dimensional and categorical methods be used simultaneously in diagnostic classification; however, little is known about this combined approach for abuse and dependence.

methodUsing data (n=37 708) from the 2007 National Survey on Drug Use and Health (NSDUH), DSM-IV criteria for prescription opioid abuse and dependence among non-prescribed opioid users (n=3037) were examined using factor analysis (FA), latent class analysis (LCA, categorical), item response theory (IRT, dimensional), and factor mixture (hybrid) approaches.

resultsA two-class factor mixture model (FMM) combining features of categorical latent classes and dimensional IRT estimates empirically fitted more parsimoniously to abuse and dependence criteria data than models from FA, LCA and IRT procedures respectively. This mixture model included a severely affected group (7%) with a comparatively moderate to high probability (0.32-0.88) of endorsing all abuse and dependence criteria items, and a less severely affected group (93%) with a low probability (0.003-0.16) of endorsing all criteria. The two empirically defined groups differed significantly in the pattern of non-prescribed opioid use, co-morbid major depression, and substance abuse treatment use.

conclusionsA factor mixture model integrating categorical and dimensional features of classification fits better to DSM-IV criteria for prescription opioid abuse and dependence in adults than a categorical or dimensional approach. Research is needed to examine the utility of this mixture classification for substance use disorders and treatment response.

Indexed as

Prescription DrugsAdolescentAdultChi-Square DistributionDiagnostic and Statistical Manual of Mental DisordersFactor Analysis, StatisticalFemaleHumansLogistic ModelsMaleOpioid-Related DisordersPrevalenceSeverity of Illness IndexUnited StatesYoung AdultPrescription Drugs

Identifiers

PMID20459887
PMCPMC3086580

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.