Evidence map›Paper›PMID 20307798›Full record

ArticleJournal of substance abuse treatment2010

Using a latent variable approach to inform gender and racial/ethnic differences in cocaine dependence: a National Drug Abuse Treatment Clinical Trials Network study.

Li-Tzy Wu, Jeng-Jong Pan, Dan G Blazer, Betty Tai, Maxine L Stitzer, George E Woody

Open access · bronzeAbstract read
In one paragraph

Article in Journal of substance abuse treatment, 2010. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed
1.7field-weighted citation impact, top 16% 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

14 citing papers in PubMed, 18 citations in OpenAlex.

  1. Trial
  2. The cultural equivalence of measurement in substance use research.Experimental and clinical psychopharmacology · 2021
    Review
  3. A systematic scoping review of research on Black participants in the National Drug Abuse Treatment Clinical Trials Network.Psychology of addictive behaviors : journal of the Society of Psychologists in Addictive Behaviors · 2020
    Article
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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

6 authors at 6 institutions in 1 country.

Li-Tzy WuDepartment of Psychiatry and Behavioral Sciences, School of Medicine, Duke University Medical Center, Duke Clinical Research Institute, Durham, NC 27710, USA. litzy.wu@duke.edu
Jeng-Jong Pan
Dan G Blazer
Betty Tai
Maxine L Stitzer
George E Woody
Clinical Research Institute · USDuke University · USJohns Hopkins University · USNational Institute on Drug Abuse · USTreatment Research Institute · USUnited States Department of Veterans Affairs · US

Funding

Delaware Valley Node of the Clinical Trials NetworkU10DA013043 · NIDA · UNIVERSITY OF PENNSYLVANIA · PI WOODY, GEORGE EDWARD · 1999 to 2015
$25.8M
CLINICAL TRIALS NETWORK MID-ATLANTIC COLLABORATIVE GROUPU10DA013034 · NIDA · JOHNS HOPKINS UNIVERSITY · PI SCHWARTZ, ROBERT P, STITZER, MAXINE L · 1999 to 2015
$25.2M
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 5U10DA013034NIDA 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 R21 DA 027503NIDA NIH HHS R21 DA027503NIDA NIH HHS R21DA027503NIDA NIH HHS R33 DA027503NIDA NIH HHS U10 DA013034NIDA NIH HHS U10 DA013043NIDA NIH HHS U10DA013043
6 · The paper itself

Abstract

This study applies a latent variable approach to examine gender and racial/ethnic differences in cocaine dependence, to determine the presence of differential item functioning (DIF) or item-response bias to diagnostic questions of cocaine dependence, and to explore the effects of DIF on the predictor analysis of cocaine dependence. The analysis sample included 682 cocaine users enrolled in two national multisite studies of the National Drug Abuse Treatment Clinical Trials Network (CTN). Participants were recruited from 14 community-based substance abuse treatment programs associated with the CTN, including 6 methadone and 8 outpatient nonmethadone programs. Factor and multiple indicators-multiple causes (MIMIC) procedures evaluated the latent continuum of cocaine dependence and its correlates. MIMIC analysis showed that men exhibited lower odds of cocaine dependence than women (regression coefficient, beta = -0.34), controlling for the effects of DIF, years of cocaine use, addiction treatment history, comorbid drug dependence diagnoses, and treatment setting. There were no racial/ethnic differences in cocaine dependence; however, DIF by race/ethnicity was noted. Within the context of multiple community-based addiction treatment settings, women were more likely than men to exhibit cocaine dependence. Addiction treatment research needs to further evaluate gender-related differences in drug dependence in treatment entry and to investigate how these differences may affect study participation, retention, and treatment response to better serve this population.

Indexed as

Clinical Trials as TopicAdultBiasCocaine-Related DisordersCommunity Health ServicesData CollectionData Interpretation, StatisticalEthnicityFemaleHumansMaleMethadoneNarcoticsNational Institute on Drug Abuse (U.S.)Racial GroupsSex FactorsMethadoneNarcoticsClinical trials networkCocaine dependenceCTN Data ShareDifferential item functioningMultiple indicators–multiple causes model

Identifiers

PMID20307798
PMCPMC2844882
OpenAlexW2006434338

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.