Evidence map›Paper›PMID 28645137›Full record

ArticleAddiction (Abingdon, England)2018

To take or not to take: the association between perceived addiction risk, expected analgesic response and likelihood of trying novel pain relievers in self-identified chronic pain patients.

D Andrew Tompkins, Andrew S Huhn, Patrick S Johnson, Michael T Smith, Eric C Strain, Robert R Edwards, Matthew W Johnson

Open access · greenAbstract read
In one paragraph

Article in Addiction (Abingdon, England), 2018. 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
1.5field-weighted citation impact, top 16% 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, 13 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

7 authors at 3 institutions in 1 country.

D Andrew TompkinsDepartment of Psychiatry and Behavioral Sciences, Johns Hopkins University School of Medicine, Baltimore, MD, USA.ORCID http://orcid.org/0000-0002-2112-2299
Andrew S HuhnDepartment of Psychiatry and Behavioral Sciences, Johns Hopkins University School of Medicine, Baltimore, MD, USA.
Patrick S JohnsonDepartment of Psychology, California State University, Chico, Chico, CA, USA.
Michael T SmithDepartment of Psychiatry and Behavioral Sciences, Johns Hopkins University School of Medicine, Baltimore, MD, USA.
Eric C StrainDepartment of Psychiatry and Behavioral Sciences, Johns Hopkins University School of Medicine, Baltimore, MD, USA.
Robert R EdwardsDepartment of Anesthesiology, Perioperative, and Pain Medicine, Harvard Medical School, Brigham and Women's Hospital, Boston, MA, USA.
Matthew W JohnsonDepartment of Psychiatry and Behavioral Sciences, Johns Hopkins University School of Medicine, Baltimore, MD, USA.
Johns Hopkins University · USBrigham and Women's Hospital · USCalifornia State University, Chico · US

Funding

HUMAN BEHAVIORAL PHARMACOLOGY OF SUBSTANCE ABUSET32DA007209 · NIDA · JOHNS HOPKINS UNIVERSITY · PI Eric C. Strain, Elise M Weerts · 1985 to 2026
$12.9M
Mechanisms of Sleep Disruption HyperalgesiaR01DA032922 · NIDA · JOHNS HOPKINS UNIVERSITY · PI IRWIN, MICHAEL R, SMITH, MICHAEL T · 2012 to 2016
$2.7M
Mentoring of Clinical Investigators in Patient Oriented ResearchK24DA023186 · NIDA · JOHNS HOPKINS UNIVERSITY · PI STRAIN, ERIC C. · 2007 to 2016
$1.8M
Optimizing Pain Treatment while Reducing Abuse Liability in Opioid DependenceK23DA029609 · NIDA · JOHNS HOPKINS UNIVERSITY · PI TOMPKINS, DAVID ANDREW · 2012 to 2016
$929k
NIDA NIH HHS K23 DA029609NIDA NIH HHS K24 DA023186NIDA NIH HHS R01 DA032922NIDA NIH HHS T32 DA007209
6 · The paper itself

Abstract

BACKGROUND AND

aimsProbability discounting refers to the effect of outcome uncertainty on decision making. Using probability discounting, we examined the degree to which self-identified chronic pain patients (CPP) were likely to try a novel analgesic medication given increasing addiction risk. We postulated that propensity for opioid misuse, trait impulsivity and previous opioid experience would be associated positively with likelihood of risky medication use.

designThis cross-sectional on-line study determined state/trait associations with addiction-related medication decisions in CPP.

settingUS-based CPP participated via Amazon Mechanical Turk; data were collected and analyzed in Baltimore, Maryland.

participantsA total of 263 CPP (70.6% female) participated in the study from 12-13 December 2014. MEASUREMENTS: CPP responded to the Benefit versus Addiction Risk Questionnaire (BARQ) assessing likelihood of taking a hypothetical once-daily oral analgesic medication as a function of two factors: risk of addiction (0-50%) and duration of expected complete pain relief (3, 30 or 365 days). The primary outcome was the BARQ, quantified as area under the curve (AUC). Grouping of CPP at high or low risk for opioid misuse was based on the Screener and Opioid Assessment for Patients with Pain-Revised (SOAPP-R). Predictors included previous experience with opioids, as well as various measures of chronic pain and mental health.

findingsAcross hypothetical addiction risk assessed in the BARQ, the likelihood of taking a novel analgesic medication was elevated significantly in patients with high (≥18; n = 137) versus low (<18; n = 126) SOAPP-R scores [P < 0.001; 3-day: Cohen's d = 0.66, 95% confidence interval (CI) = 0.63, 0.69; 30-day: d = 0.74, 95% CI = 0.71, 0.78; 365-day: d = 0.75, 95% CI = 0.72, 0.79].

conclusionsIn the United States, self-identified chronic pain patients (CPP) at higher risk for opioid misuse were more likely to report willingness to try a novel analgesic despite increasing addiction risk than CPP with low risk of opioid misuse.

Indexed as

Attitude to HealthPerceptionRiskSubstance-Related DisordersAdultAnalgesicsAnalgesics, OpioidChronic PainCross-Sectional StudiesDecision MakingFemaleHumansMaleMiddle AgedRisk AssessmentSurveys and QuestionnairesAnalgesicsAnalgesics, OpioidAddictionanalgesic medicationsBARQchronic paindecision-makingprobability discountingSOAPP-R

Identifiers

PMID28645137
PMCPMC5725253
OpenAlexW2697402065

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.