Evidence map›Paper›PMID 28107598›Full record

ArticleAddiction (Abingdon, England)2017

Dropout in clinical trials of pharmacological treatment for methamphetamine dependence: the role of initial abstinence.

Ryan Cook, Brendan Quinn, Keith Heinzerling, Steve Shoptaw

Abstract read
In one paragraph

Article in Addiction (Abingdon, England), 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.

0numbers the graph read from it
0cells of the map it votes in
15citing papers in PubMed
2.2field-weighted citation impact, top 12% 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

15 citing papers in PubMed, 27 citations in OpenAlex.

  1. Trial
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  5. Observational
  6. Methamphetamine dependence in Australia-why is 'ice' (crystal meth) so addictive?Psychiatry, psychology, and law : an interdisciplinary journal of the Australian and New Zealand Association of Psychiatry, Psychology and Law · 2024
    Article
  7. Article
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  10. Review
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  15. Effect of Bile Duct Ligation-induced Liver Dysfunction on Methamphetamine Pharmacokinetics and Locomotor Activity in Rats.Journal of pharmacy & pharmaceutical sciences : a publication of the Canadian Society for Pharmaceutical Sciences, Societe canadienne des sciences pharmaceutiques · 2019
    Article
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

4 authors at 1 institution in 2 countries.

Ryan CookDepartment of Epidemiology, Los Angeles Fielding School of Public Health, University of California, Los Angeles, CA, USA.
Brendan QuinnDepartments of Family Medicine and Psychiatry and Biobehavioral Science, Los Angeles David Geffen School of Medicine, University of California, Los Angeles, CA, USA.
Keith HeinzerlingDepartments of Family Medicine and Psychiatry and Biobehavioral Science, Los Angeles David Geffen School of Medicine, University of California, Los Angeles, CA, USA.
Steve ShoptawDepartments of Family Medicine and Psychiatry and Biobehavioral Science, Los Angeles David Geffen School of Medicine, University of California, Los Angeles, CA, USA.
Neurobehavioral Systems · US

Funding

UCLA Medication Development Unit for Stimulant AbuseP50DA018185 · NIDA · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI SHOPTAW, STEVEN J · 2004 to 2009
$5.8M
Pharmacogenomics and Medication Development for Methamphetamine DependenceK23DA023558 · NIDA · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI HEINZERLING, KEITH GREGORY · 2008 to 2012
$848k
NIDA NIH HHS K23 DA023558NIDA NIH HHS P50 DA018185
6 · The paper itself

Abstract

BACKGROUND AND

aimsHigh rates of loss to follow-up represent a significant challenge to clinical trials of pharmacological treatments for methamphetamine (MA) use disorder. We aimed to estimate and test the relationship between achieving and maintaining abstinence in the initial weeks of study participation and subsequent retention in such trials, hypothesizing that participants able to achieve early abstinence would be less likely to drop out.

designData from four randomized controlled trials (RCTs) of pharmacological treatments for MA use disorder were pooled and analyzed using a random-effects approach.

settingAll trials were conducted in the greater Los Angeles, CA, USA area.

participantsA total of 440 participants were included; trials were conducted between 2004 and 2014. MEASUREMENTS: Participants' ability to achieve a brief period of initial abstinence was measured as the number of MA-negative urine screens completed in the first 2 weeks of the trials. Outcomes were the likelihood of dropout, i.e. missing two consecutive weeks of scheduled urine drug screens, and the number of days participants were retained in the trials.

findingsStudy participants achieved an average of three (of six possible) negative urine screens during the first 2 weeks of the trials, 51% dropped out and the average number of days retained was 60 (of 90 maximum). Each additional negative urine screen achieved during the first 2 weeks of the study reduced multiplicatively the odds of dropout by 41% [odds ratio (OR) = 0.59, 95% confidence interval (CI) = 0.53, 0.66]. Abstinence was also a significant predictor of retention time; the hazard ratio for non-completion was 0.75 per additional negative urine screen (95% CI = 0.71, 0.80).

conclusionsParticipants in randomized controlled trials of pharmacological treatments for methamphetamine use disorder who are able to achieve a brief period of early abstinence are retained longer in the trials and are less likely to drop out overall.

Indexed as

Amphetamine-Related DisordersLost to Follow-UpPatient DropoutsAdultFemaleHumansLos AngelesMaleMethamphetamineRandomized Controlled Trials as TopicMethamphetamineAbstinenceclinical trialsdropoutmethamphetaminepharmacotherapyretention

Identifiers

PMID28107598
PMCPMC5984202
OpenAlexW2579674377

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.