Evidence map›Paper›PMID 27302873›Full record

ArticleJournal of psychiatric research2016

Exploring the latent trait of opioid use disorder criteria among frequent nonmedical prescription opioid users.

João Mauricio Castaldelli-Maia, Laura H Andrade, Katherine M Keyes, Magdalena Cerdá, Daniel J Pilowsky, Silvia S Martins

Abstract read
In one paragraph

Article in Journal of psychiatric research, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing 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

7 citing papers in PubMed.

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  7. An Item Response Theory Analysis ofFrontiers in psychology · 2019
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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.

João Mauricio Castaldelli-MaiaSection of Psychiatric Epidemiology - LIM 23, Department and Institute of Psychiatry, University of São Paulo Medical School, São Paulo, 05403, Brazil; Interdisciplinary Group of Studies on Alcohol and Drugs, Department and Institute of Psychiatry, University of São Paulo Medical School, São Paulo, 05403, Brazil; Department of Neuroscience, Medical School, Fundação do ABC, Santo André, SP, 09060, Brazil.
Laura H AndradeSection of Psychiatric Epidemiology - LIM 23, Department and Institute of Psychiatry, University of São Paulo Medical School, São Paulo, 05403, Brazil.
Katherine M KeyesDepartment of Epidemiology, Columbia University Mailman School of Public Health, New York, NY, 10032, USA.
Magdalena CerdáDepartment of Emergency Medicine and Violence Prevention Program, University of California, Davis, USA.
Daniel J PilowskyDepartment of Epidemiology, Columbia University Mailman School of Public Health, New York, NY, 10032, USA; New York State Psychiatric Institute, New York, NY, USA.
Silvia S MartinsDepartment of Epidemiology, Columbia University Mailman School of Public Health, New York, NY, 10032, USA. Electronic address: ssm2183@cumc.columbia.edu.

Funding

Predictors of Pathological Gambling among African-American Young AdultsR01HD060072 · NICHD · JOHNS HOPKINS UNIVERSITY · PI CANINO, GLORISA J, DUARTE, CRISTIANE S. · 2009 to 2018
$3.9M
State medical marijuana laws and NSDUH marijuana use and consequences since 2004R01DA037866 · NIDA · COLUMBIA UNIVERSITY HEALTH SCIENCES · PI MARTINS, SILVIA SABOIA · 2014 to 2018
$2.3M
Race, alcohol consumption and vehicle crashes: an epidemiologic paradoxK01AA021511 · NIAAA · COLUMBIA UNIVERSITY HEALTH SCIENCES · PI KEYES, KATHERINE M. · 2013 to 2017
$904k
Trajectories of Substance Use and Comorbid Mental IllnessK01DA030449 · NIDA · UNIVERSITY OF CALIFORNIA AT DAVIS · PI CERDA, MAGDALENA · 2011 to 2015
$897k
NIAAA NIH HHS K01 AA021511NICHD NIH HHS R01 HD060072NIDA NIH HHS K01 DA030449NIDA NIH HHS R01 DA037866
6 · The paper itself

Abstract

backgroundThere is a need to explore the dimensional and categorical phenotypes of criteria of opioid use disorder among frequent nonmedical users of prescription opioids (NMUPO) users.

methodsWe used pooled data of 2011-2012 National Survey on Drug Use and Health to examine reliability and phenotypic variability in the diagnosis of OUD secondary to NMUPO in a nationally-representative sample of 18+ years-old frequent past-year NMUPO users (120+ days, n = 806). Through exploratory factor analysis (EFA) and latent class analysis (LCA), we examined 10 past-year OUD criteria. We examined associations between the latent classes and sociodemographic/psychiatric/NMUPO correlates.

resultsOUD criteria were unidimensional, and a three-class model was the overall best fitting solution for characterizing individuals into phenotypes along this unidimensional continuum: a "non-symptomatic class" (40.7%), "Tolerance-Time spent class" (29.0%) with high probability of endorsing Tolerance/Time Spent criteria, and a "High-moderate symptomatic class" (30.1%). The last class was significantly associated with being male, having insurance and obtaining prescription opioids (PO) nonmedically via "doctor shopping" as compared to the non-symptomatic class. "Tolerance-Time spent class" was significantly associated with being younger (18-25 years) and obtaining PO nonmedically from family/friends as compared to the non-symptomatic class.

conclusionThis study revealed the different characteristics and routes of access to PO of different classes of frequent NMUPO users. It is possible that these groups may respond to different interventions, however such conclusions would require a clinical study.

Indexed as

Analgesics, OpioidAdolescentAdultAge FactorsChildFactor Analysis, StatisticalFemaleHealth SurveysHumansMaleOpioid-Related DisordersPrescription Drug MisusePsychiatric Status Rating ScalesSurveys and QuestionnairesYoung AdultAnalgesics, OpioidDoctor shoppingNMUPOPrescription opioidsTime spentTolerance

Identifiers

PMID27302873
PMCPMC4980160

What OpenQuestion holds

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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.