Evidence map›Paper›PMID 30690168›Full record

ArticleThe journal of pain2019

Development of the Revised Opioid Risk Tool to Predict Opioid Use Disorder in Patients with Chronic Nonmalignant Pain.

Martin D Cheatle, Peggy A Compton, Lara Dhingra, Thomas E Wasser, Charles P O'Brien

Open access · greenAbstract readValidation Study
In one paragraph

Article in The journal of pain, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 47 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
47citing papers in PubMed, 1 pooled it
12.2field-weighted citation impact, top 1% 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

47 citing papers in PubMed, 1 synthesis or guideline pooled it, 116 citations in OpenAlex.

  1. Guideline
  2. Trial
  3. Article
  4. Observational
  5. Substance use monitoring in supportive oncology: surveillance is not a clinical outcome, and policing is not a therapeutic framework.Supportive care in cancer : official journal of the Multinational Association of Supportive Care in Cancer · 2026
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  12. Article
  13. Women With Gynecologic Cancers: Screening for Substance Use Disorders Is Key.Journal of the advanced practitioner in oncology · 2025
    Article
  14. Article
  15. Article
  16. Article
  17. Review
  18. 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

5 authors at 2 institutions in 1 country.

Martin D CheatleDepartment of Psychiatry, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania. Electronic address: cheatle@pennmedicine.upenn.edu.
Peggy A ComptonDepartment of Family and Community Health, School of Nursing, University of Pennsylvania, Philadelphia, Pennsylvania.
Lara DhingraMJHS Institute for Innovation in Palliative Care, New York, New York; Albert Einstein College of Medicine, Bronx, New York.
Thomas E WasserConsult-Stat: Complete Statistical Services, Macungie, Pennsylvania.
Charles P O'BrienDepartment of Psychiatry, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania.
University of Pennsylvania · USAlbert Einstein College of Medicine · US

Funding

Clinical and Genetic Characteristics of Opioid Addiction in Chronic PainR01DA032776 · NIDA · UNIVERSITY OF PENNSYLVANIA · PI CHEATLE, MARTIN D · 2012 to 2016
$2.9M
Effect of opioid taper on pain responses in patients with chronic painR21DA046364 · NIDA · UNIVERSITY OF PENNSYLVANIA · PI COMPTON, PEGGY A · 2019 to 2020
$443k
NIDA NIH HHS R01 DA032776NIDA NIH HHS R21 DA046364
6 · The paper itself

Abstract

The Opioid Risk Tool (ORT) is a commonly used measure of risk of aberrant drug-related behaviors in patients with chronic pain prescribed opioid therapy. In this study, the discriminant predictive validity of the ORT was evaluated in a unique cohort of patients with chronic nonmalignant pain (CNMP) on long-term opioid therapy who displayed no evidence of developing an opioid use disorder (OUD) and a sample of patients with CNMP who developed an OUD after commencing opioid therapy. Results revealed that the original ORT was able to discriminate between patients with and without OUDs (odds ratio = 1.624; 95% confidence interval [CI] = 1.539-1.715, P < .001). A weighted ORT eliminating the gender-specific history of preadolescent sexual abuse item revealed comparable results (odds ratio = 1.648, 95% CI = 1.539-1.742, P < .001). A revised unweighted ORT removing the history of preadolescent sexual abuse item was notably superior in predicting the development of OUD in patients with CNMP on long-term opioid therapy (odds ratio = 3.085; 95% CI = 2.725-3.493; P < .001) with high specificity (.851; 95% CI = .811-.885), sensitivity (.854; 95% CI = .799-.898), positive predictive value (.757; 95% CI = .709-.799), and negative predictive value (.914; 95% CI = .885-.937). Perspective: The revised ORT is the first tool developed on a unique cohort to predict the risk of developing an OUD in patients with CNMP receiving opioid therapy, as opposed to aberrant drug-related behaviors that can reflect a number of other issues. The revised ORT has clinical usefulness in providing clinicians a simple, validated method to rapidly screen for the risk of developing OUD in patients on or being considered for opioid therapy.

Indexed as

Opioid-Related DisordersAdultChronic PainFemaleHumansMaleMiddle AgedPsychometricsRisk AssessmentRisk FactorsSurveys and Questionnaireschronic nonmalignant painlong-term opioid therapyOpioid Risk Toolopioid use disorder

Identifiers

PMID30690168
PMCPMC6768552
OpenAlexW2914151791

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.