Evidence map›Paper›PMID 24628774›Full record

ArticleThe American journal on addictions

Cognitive performance profiles by latent classes of drug use.

P Truman Harrell, Brent Edward E Mancha, Silvia S Martins, Pia M Mauro, Julie H Kuo, Michael Scherer, Karen I Bolla, William W Latimer

Open access · greenAbstract read
In one paragraph

Article in The American journal on addictions. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed, 1 pooled it
0.5field-weighted citation impact, top 35% 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

6 citing papers in PubMed, 1 synthesis or guideline pooled it, 15 citations in OpenAlex.

  1. Pooled it
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  3. Article
  4. Article
  5. 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

8 authors at 5 institutions in 1 country.

P Truman HarrellDepartment of Health Outcomes and Behavior, Moffitt Cancer Center, Tampa, Florida.
Brent Edward E Mancha
Silvia S Martins
Pia M Mauro
Julie H Kuo
Michael Scherer
Karen I Bolla
William W Latimer
Johns Hopkins University · USUniversity of Florida Health · USBloomberg (United States) · USColumbia University · USMoffitt Cancer Center · US

Funding

NIDA Epidemiology Training Program: Johns Hopkins UniversityT32DA007292 · NIDA · JOHNS HOPKINS UNIVERSITY · PI RENEE M. JOHNSON, Brion S Maher · 1993 to 2026
$17.7M
EPIDEMIOLOGY AND BIOSTATISTICS OF AGINGT32AG000247 · NIA · JOHNS HOPKINS UNIVERSITY · PI Karen J. Bandeen-Roche · 1996 to 2026
$13.2M
Randomized Trial of IFCBT-HIVPI to Prevent HIV Among Non-Injection Drug UsersR01DA014498 · NIDA · UNIVERSITY OF FLORIDA · PI LATIMER, WILLIAM W · 2001 to 2013
$5.6M
Behavioral Oncology Education & Career DevelopmentR25CA090314 · NCI · H. LEE MOFFITT CANCER CTR &RES INST · PI BRANDON, THOMAS H · 2003 to 2018
$4.0M
NCI NIH HHS R25 CA090314NCI NIH HHS R25CA090314NIA NIH HHS T32 AG000247NIDA NIH HHS R01 DA014498NIDA NIH HHS R01 DA14498NIDA NIH HHS T32 DA007292
6 · The paper itself

Abstract

BACKGROUND AND

objectivesThe relationship between substance use and cognitive deficits is complex and requires innovative methods to enhance understanding. The present study is the first to use LCA to examine associations of drug use patterns with cognitive performance.

methodsCocaine/heroin users (N = 552) completed questionnaires, and cognitive measures. LCA identified classes based on past-month drug use and adjusted for probabilities of group membership when examining cognitive performance. Latent indicators were: alcohol (ALC), cigarettes (CIG), marijuana (MJ), crack smoking (CS), nasal heroin (NH), injection cocaine (IC), injection heroin (IH), and injection speedball (IS). Age and education were included as covariates in model creation.

resultsBootstrap likelihood ratio test (BLRT) supported a 5-class model. Prevalent indicators (estimated probability of over 50%) for each class are as follows: "Older Nasal Heroin/Crack Smokers" (ONH/CS, n = 166.9): ALC, CIG, NH, CS; "Older, Less Educated Polysubstance" (OLEP, n = 54.8): ALC, CIG, CS, IH, IC, and IS; "Younger Multi-Injectors" (MI, n = 128.7): ALC, CIG, MJ, IH, IC, and IS; "Less Educated Heroin Injectors" (LEHI, n = 87.4): CIG, IH; and "More Educated Nasal Heroin" users (MENH, n = ALC, CIG, NH. In general, all classes performed worse than established norms and older, less educated classes performed worse, with the exception that MENH demonstrated worse cognitive flexibility than YMI. DISCUSSION AND

conclusionsThis study demonstrated novel applications of a methodology for examining complicated relationships between polysubstance use and cognitive performance. SCIENTIFIC SIGNIFICANCE: Education and/or nasal heroin use are associated with reduced cognitive flexibility in this sample of inner city drug users.

Indexed as

AdultAge FactorsAlcohol DrinkingAmphetamine-Related DisordersBaltimoreCocaine-Related DisordersCognition DisordersDrug UsersEducational StatusFemaleHeroin DependenceHumansMaleMarijuana SmokingModels, PsychologicalNeuropsychological Tests

Identifiers

PMID24628774
PMCPMC4139416
OpenAlexW2163014728

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.