Evidence map›Paper›PMID 32114329›Full record

ArticleDrug and alcohol dependence2020

Comparison of timeline follow-back self-report and oral fluid testing to detect substance use in adult primary care patients.

Courtney D Nordeck, Jan Gryczynski, Kevin E O'Grady, Kathryn Polak, Dace S Svikis, Jennifer McNeely, Li-Tzy Wu, Robert P Schwartz

Abstract readComparative Study
In one paragraph

Article in Drug and alcohol dependence, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing 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

9 citing papers in PubMed.

  1. Trial
  2. Article
  3. Article
  4. Article
  5. Review
  6. Article
  7. Article
  8. Article
  9. 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

8 authors.

Courtney D NordeckFriends Research Institute, Inc., Baltimore, MD, USA. Electronic address: cnordeck@friendsresearch.org.
Jan GryczynskiFriends Research Institute, Inc., Baltimore, MD, USA.
Kevin E O'GradyUniversity of Maryland, College Park, MD, USA.
Kathryn PolakVirginia Commonwealth University, Richmond, VA, USA.
Dace S SvikisVirginia Commonwealth University, Richmond, VA, USA.
Jennifer McNeelyNew York University School of Medicine, New York, NY, USA.
Li-Tzy WuDuke University School of Medicine, Durham, NC, USA.
Robert P SchwartzFriends Research Institute, Inc., Baltimore, MD, USA.

Funding

Project-003UG1DA013035 · NIDA · NEW YORK UNIVERSITY SCHOOL OF MEDICINE · PI Aimee N Campbell, Jennifer McNeely · 2015 to 2026
$130.3M
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 Integrated Care Research CollaborativeUG1DA013034 · NIDA · JOHNS HOPKINS UNIVERSITY · PI SCHWARTZ, ROBERT P, STITZER, MAXINE L · 2015 to 2019
$11.0M
Project-003UG1DA040317 · NIDA · DUKE UNIVERSITY · PI WU, LI-TZY · 2015 to 2019
$9.0M
NIDA NIH HHS U10 DA013727NIDA NIH HHS UG1 DA013034NIDA NIH HHS UG1 DA013035NIDA NIH HHS UG1 DA040317
6 · The paper itself

Abstract

backgroundTimeline Follow-back (TLFB) interviews using self-report are often used to assess substance use. Oral fluid testing (OFT) offers an objective measure of substance use. There are limited data on the agreement between TLFB and OFT.

methodsIn this secondary analysis from a multisite study in five primary care sites, self-reported TLFB and OFT data collected under confidential conditions were compared to assess concordance (N=1799). OFT samples were analyzed for marijuana, heroin, cocaine, and non-medical use of prescription opioids. Demographic differences in discordance relative to TLFB and OFT concordant results for marijuana, the only substance with an adequate sample size in this analysis, were examined using multinomial logistic regression.

resultsOverall concordance rates between TLFB and OFT were 94.9 % or higher for each substance, driven by large subgroups with no use. Among participants with discordant use, marijuana was the only substance with lower detection on OFT than self-report (27.6 % OFT-positive only vs 32.2 % TLFB-positive only), whereas cocaine (65.6 % vs 8.6 %), prescription opioids (90.4 % vs 6.0 %), and heroin (40.7 % vs 26.0 %) all had higher detection via OFT than TLFB. Participants who reported marijuana use but had a negative OFT were more likely to be younger, Hispanic, and White compared to those with TLFB and OFT concordant positive results.

conclusionsTLFB and OFT show disparate detection of different substances. Researchers should consider the implications of using either self-report or oral fluid testing in isolation, depending on the substance and collection setting. Triangulating multiple sources of information may improve detection of drug use.

Indexed as

Self ReportAdultFemaleHealth SurveysHumansMaleMiddle AgedMouth MucosaPrimary Health CareSubstance Abuse DetectionSubstance-Related DisordersConcordanceDiscordanceIllicit drug useOral fluid testingPrimary careSelf-ReportTimeline follow-back

Identifiers

PMID32114329
PMCPMC7360056

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.