Evidence map›Paper›PMID 36367075›Full record

Trial reportAddiction (Abingdon, England)2023

Diagnostic accuracy for self-reported methamphetamine use versus oral fluid test as the reference standard in a methamphetamine-dependent intervention trial population.

Gregory Carter, Matthew J Spittal, Linda Glowacki, Dimitri Gerostamoulos, Paul Dietze, Barbara Sinclair, Shalini Arunogiri, Michael Berk, Dan I Lubman, Victoria Manning and 6 more

Open access · greenAbstract readRandomized Controlled Trial
In one paragraph

Trial report in Addiction (Abingdon, England), 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
1.1field-weighted citation impact, top 25% 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

5 citing papers in PubMed, 7 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

16 authors at 8 institutions in 1 country.

Gregory CarterCollege of Health, Medicine and Wellbeing, School of Medicine and Public Health, University of Newcastle, Callaghan, Australia.ORCID 0000-0001-8180-1798
Matthew J SpittalMelbourne School of Population and Global Health, University of Melbourne, Australia.
Linda GlowackiVictorian Institute of Forensic Medicine, Southbank, Victoria, Australia.
Dimitri GerostamoulosVictorian Institute of Forensic Medicine, Southbank, Victoria, Australia.
Paul DietzeBehaviours and Health Risks Program, Burnet Institute, Melbourne, Australia.
Barbara SinclairGraduate School of Medicine, University of Wollongong, Australia.
Shalini ArunogiriMonash Addiction Research Centre, Eastern Health Clinical School, Faculty of Medicine, Nursing and Health Sciences, Monash University, Australia.
Michael BerkDeakin University, IMPACT - the Institute for Mental and Physical Health and Clinical Translation, School of Medicine, Barwon Health, Geelong, Australia.
Dan I LubmanTurning Point, Eastern Health, Richmond, Australia.ORCID 0000-0002-6747-1937
Victoria ManningMonash Addiction Research Centre, Eastern Health Clinical School, Faculty of Medicine, Nursing and Health Sciences, Monash University, Australia.
Peter HiggsBehaviours and Health Risks Program, Burnet Institute, Melbourne, Australia.
Brendan QuinnBehaviours and Health Risks Program, Burnet Institute, Melbourne, Australia.
Amanda BakerCollege of Health, Medicine and Wellbeing, School of Medicine and Public Health, University of Newcastle, Callaghan, Australia.
Olivia M DeanDeakin University, IMPACT - the Institute for Mental and Physical Health and Clinical Translation, School of Medicine, Barwon Health, Geelong, Australia.
Alyna TurnerDeakin University, IMPACT - the Institute for Mental and Physical Health and Clinical Translation, School of Medicine, Barwon Health, Geelong, Australia.
Rebecca McKetinNational Drug and Alcohol Research Centre, UNSW, Sydney, Australia.ORCID 0000-0003-2833-4830
Barwon Health · AUBurnet Institute · AUEastern Health · AUUniversity of Newcastle Australia · AUVictorian Institute of Forensic Medicine · AUThe University of Melbourne · AUUniversity of Wollongong · AUUNSW Sydney · AU

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

aimsTreatment of methamphetamine dependence requires monitoring of recent use or abstinence. Self-report is commonly used for routine monitoring, but the accuracy of self-report is not established. For the treating clinician, the key accuracy statistic is the negative predictive value (NPV). The study aim was to estimate the NPV of self-reported non-use of methamphetamine compared with an oral fluid reference standard. DESIGN, SETTING AND

participantsThis study was a secondary (subgroup) analysis from a randomized controlled pharmacotherapy trial. Three Australian outpatient addiction services took part. Particpants were 139 people dependent on methamphetamine. MEASUREMENTS: Weekly oral fluid samples over 12 weeks to determine methamphetamine (and amphetamine) concentrations were used as the reference standard. Self-report of any methamphetamine use in the previous 7 days by the time-line follow-back method was the index test. Standard diagnostic accuracy statistics were calculated for all available paired episodes (n = 1134). Three NPV values were calculated: unadjusted NPV and NPV adjusted for clustering of observations through logistic regression and generalized estimating equation (GEE). We also calculated the NPVs for a range of prevalence rates of methamphetamine use, for the calculated levels of sensitivity and specificity.

findingsSensitivity was 96.4% [95% confidence interval (CI) = 95-97.5], specificity was 63.7% (95% CI = 57.3-69.8) and positive predictive value (PPV) was 90.8% (95% CI = 88.8-92.6). The unadjusted NPV was 82.7% (95% CI = 76.5-87.9), adjusted NPV by logistic regression 82.7% (95% CI = 73.9-91.5) and GEE 76.8% (95% CI = 66.8-86.8). At a methamphetamine use prevalence of 5%, the estimated NPV would be 99.7% (95% CI = 99.6-99.9) and at 95% prevalence, 48.2% (95% CI = 39.6-57.0).

conclusionsSelf-report of no recent methamphetamine use appears to be sufficiently accurate to be clinically useful at the expected prevalence rates of methamphetamine use in clinical treatment settings. If generalizable to clinical settings, where these tests are routinely conducted, this may permit a reduction in the frequency and cost of oral fluid assays.

Indexed as

MethamphetamineAmphetamineAustraliaHumansReference StandardsSelf ReportSensitivity and SpecificityAmphetamineMethamphetamineAddictionclinical trialdiagnostic accuracymethamphetamineoral fluidpsychiatrysalivaself-reportsubstance use disorders

Identifiers

PMID36367075
PMCPMC10952224
OpenAlexW4308770324

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.