Evidence map›Paper›PMID 21501933›Full record

ArticleDrug and alcohol dependence2011

Use of item response theory and latent class analysis to link poly-substance use disorders with addiction severity, HIV risk, and quality of life among opioid-dependent patients in the Clinical Trials Network.

Li-Tzy Wu, Walter Ling, Bruce Burchett, Dan G Blazer, Chongming Yang, Jeng-Jong Pan, Bryce B Reeve, George E Woody

Open access · greenAbstract read
In one paragraph

Article in Drug and alcohol dependence, 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 29 papers.

0numbers the graph read from it
0cells of the map it votes in
29citing papers in PubMed
2.2field-weighted citation impact, top 13% of its field
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

29 citing papers in PubMed, 43 citations in OpenAlex.

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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

8 authors at 7 institutions in 1 country.

Li-Tzy WuDepartment of Psychiatry and Behavioral Sciences, School of Medicine, Duke University Medical Center, Box 3419, Durham, NC 27710, USA. litzy.wu@duke.edu
Walter Ling
Bruce Burchett
Dan G Blazer
Chongming Yang
Jeng-Jong Pan
Bryce B Reeve
George E Woody
Duke University · USDuke University Hospital · USSocial Science Research Council · USUnited States Department of Veterans Affairs · USUniversity of California, Los Angeles · USUniversity of North Carolina at Chapel Hill · USUniversity of Pennsylvania · US

Funding

The National Drug Abuse Treatment Clinical Trials NetworkU10DA013045 · NIDA · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI LING, WALTER NMN · 1999 to 2015
$52.6M
Southern Consortium Node of the Clinical Trials NetworkU10DA013727 · NIDA · MEDICAL UNIVERSITY OF SOUTH CAROLINA · PI BRADY, KATHLEEN T. · 2000 to 2015
$34.4M
Delaware Valley Node of the Clinical Trials NetworkU10DA013043 · NIDA · UNIVERSITY OF PENNSYLVANIA · PI WOODY, GEORGE EDWARD · 1999 to 2015
$25.8M
Evolution of Psychopathology in the PopulationR01DA026652 · NIDA · JOHNS HOPKINS UNIVERSITY · PI EATON, WILLIAM W · 2009 to 2013
$2.4M
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
Classification of Substance Use Severity and Treatment Outcomes: NIDA CTN StudiesR33DA027503 · NIDA · DUKE UNIVERSITY · PI WU, LI-TZY · 2010 to 2012
$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 HHSN271200522071CNIDA NIH HHS K05 DA017009NIDA NIH HHS K05DA017009NIDA NIH HHS R01 DA019623NIDA NIH HHS R01DA019623NIDA NIH HHS R01 DA019901NIDA NIH HHS R01DA019901NIDA NIH HHS R01 DA026652NIDA NIH HHS R01DA026652NIDA NIH HHS R21 DA027503NIDA NIH HHS R21DA027503NIDA NIH HHS R33 DA027503NIDA NIH HHS R33DA027503NIDA NIH HHS U10 DA013043NIDA NIH HHS U10DA013043NIDA NIH HHS U10 DA013045NIDA NIH HHS U10 DA013727
6 · The paper itself

Abstract

backgroundThis study applied item response theory (IRT) and latent class analysis (LCA) procedures to examine the dimensionality and heterogeneity of comorbid substance use disorders (SUDs) and explored their utility for standard clinical assessments, including the Addiction Severity Index (ASI), HIV Risk Behavior Scale (HRBS), and SF-36 quality-of-life measures.

methodsThe sample included 343 opioid-dependent patients enrolled in two national multisite studies of the U.S. National Drug Abuse Treatment Clinical Trials Network (CTN001-002). Patients were recruited from inpatient and outpatient addiction treatment settings at 12 programs. Data were analyzed by factor analysis, IRT, LCA, and latent regression procedures.

resultsA two-class LCA model fit dichotomous SUD data empirically better than one-parameter and two-parameter IRT models. LCA distinguished 10% of severe comorbid opioid-dependent individuals who had high rates of all SUDs examined-especially amphetamine and sedative abuse/dependence-from the remaining 90% who had SUDs other than amphetamine and sedative abuse/dependence (entropy=0.99). Item-level results from both one-parameter and two-parameter IRT models also found that amphetamine and sedative abuse/dependence tapped the more severe end of the latent poly-SUD trait. Regardless of whether SUDs were defined as a continuous trait or categorically, individuals characterized by a high level of poly-SUD demonstrated more psychiatric problems and HIV risk behaviors.

conclusionsA combined application of categorical and dimensional latent approaches may improve the understanding of comorbid SUDs and their associations with other clinical indicators. Abuse of sedatives and methamphetamine may serve as a useful marker for identifying subsets of opioid-dependent individuals with needs for more intensive interventions.

Indexed as

Severity of Illness IndexAdultFemaleHIV InfectionsHumansMaleMiddle AgedOpioid-Related DisordersQuality of LifeRiskRisk-TakingSubstance-Related Disorders

Identifiers

PMID21501933
PMCPMC3170493
OpenAlexW2016949421

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.