Evidence map›Paper›PMID 22819723›Full record

Trial reportGeneral hospital psychiatry

Evaluating brief screeners to discriminate between drug use disorders in a sample of treatment-seeking adults.

Li-Tzy Wu, Marvin S Swartz, Jeng-Jong Pan, Bruce Burchett, Paolo Mannelli, Chongming Yang, Dan G Blazer

Open access · greenAbstract readClinical TrialMulticenter Study
In one paragraph

Trial report in General hospital psychiatry. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
0.8field-weighted citation impact, top 27% 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

8 citing papers in PubMed, 8 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

7 authors at 5 institutions in 1 country.

Li-Tzy WuDepartment of Psychiatry and Behavioral Sciences, School of Medicine, Duke University Medical Center, Durham, NC 27710, USA. litzy.wu@duke.edu
Marvin S Swartz
Jeng-Jong Pan
Bruce Burchett
Paolo Mannelli
Chongming Yang
Dan G Blazer
Duke University · USDuke Medical Center · USDuke University Hospital · USNational Institutes of Health · USSocial Science Research Council · US

Funding

Southern Consortium Node of the Clinical Trials NetworkU10DA013727 · NIDA · MEDICAL UNIVERSITY OF SOUTH CAROLINA · PI BRADY, KATHLEEN T. · 2000 to 2015
$34.4M
CLINICAL TRIALS NETWORK MID-ATLANTIC COLLABORATIVE GROUPU10DA013034 · NIDA · JOHNS HOPKINS UNIVERSITY · PI SCHWARTZ, ROBERT P, STITZER, MAXINE L · 1999 to 2015
$25.2M
Clinical Trials Network: Mid-Atlantic Integrated Care Research CollaborativeUG1DA013034 · NIDA · JOHNS HOPKINS UNIVERSITY · PI BIGELOW, GEORGE, SCHWARTZ, ROBERT P · 2015 to 2019
$11.0M
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 R01 DA019623NIDA NIH HHS R01DA019623NIDA NIH HHS R01 DA019901NIDA NIH HHS R01DA019901NIDA NIH HHS R21 DA027503NIDA NIH HHS R21DA027503NIDA NIH HHS R33 DA027503NIDA NIH HHS R33DA027503NIDA NIH HHS U10 DA013034NIDA NIH HHS U10DA013034NIDA NIH HHS U10 DA013727NIDA NIH HHS UG1 DA013034
6 · The paper itself

Abstract

objectiveThe objective was to identify a potential core set of brief screeners for the detection of individuals with a substance use disorder (SUD) in medical settings.

methodData were from two multisite studies that evaluated stimulant use outcomes of an abstinence-based contingency management intervention as an addition to usual care (National Drug Abuse Treatment Clinical Trials Network trials 006-007). The sample comprised 847 substance-using adults who were recruited from 12 outpatient substance abuse treatment settings across the United States. Alcohol and drug use disorders were assessed by the Diagnostic and Statistical Manual of Mental Disorders, Fourth Edition, Checklist. Data were analyzed by factor analysis, item response theory (IRT), sensitivity and specificity procedures.

resultsComparatively prevalent symptoms of dependence, especially inability to cut down for all substances, showed high sensitivity for detecting an SUD (low rate of false negative). IRT-defined severe (infrequent) and low discriminative items, especially withdrawal for alcohol, cannabis and cocaine, had low sensitivity in identifying cases of an SUD. IRT-defined less severe (frequent) and high discriminative items, including inability to cut down or taking larger amounts than intended for all substances and withdrawal for amphetamines and opioids, showed good-to-high values of area under the receiver operating characteristic curve in classifying cases and noncases of an SUD.

conclusionFindings suggest the feasibility of identifying psychometrically reliable substance dependence symptoms to develop a two-item screen for alcohol and drug disorders.

Indexed as

AdolescentAdultAlcohol-Related DisordersAmphetamine-Related DisordersCocaine-Related DisordersFemaleHumansMaleMarijuana AbuseMass ScreeningMiddle AgedOpioid-Related DisordersPrevalencePsychometricsROC CurveSensitivity and Specificity

Identifiers

PMID22819723
PMCPMC3504628
OpenAlexW2001328165

What OpenQuestion holds

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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.