Evidence map›Paper›PMID 28496354›Full record

ArticleJournal of pain research2017

Factors associated with prescription opioid misuse in a cross-sectional cohort of patients with chronic non-cancer pain.

Jennifer M Hah, John A Sturgeon, Jennifer Zocca, Yasamin Sharifzadeh, Sean C Mackey

Open access · goldAbstract read
In one paragraph

Article in Journal of pain research, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 37 papers.

0numbers the graph read from it
0cells of the map it votes in
37citing papers in PubMed
5.2field-weighted citation impact, top 4% 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

37 citing papers in PubMed, 61 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

5 authors at 2 institutions in 1 country.

Jennifer M HahDivision of Pain Medicine.
John A SturgeonDivision of Pain Medicine.
Jennifer ZoccaDepartment of Anesthesiology, Perioperative, and Pain Medicine.
Yasamin SharifzadehStanford Systems Neuroscience and Pain Lab, Stanford University, Palo Alto, CA, USA.
Sean C MackeyDivision of Pain Medicine.
Pain and Rehabilitation Medicine · USStanford University · US

Funding

Neuroimaging and Mentoring in Translational Pain ResearchK24DA029262 · NIDA · STANFORD UNIVERSITY · PI MACKEY, SEAN C · 2010 to 2019
$1.9M
Psychological Factors Contributing to Persistent Opioid Use After SurgeryK23DA035302 · NIDA · STANFORD UNIVERSITY · PI HAH, JENNIFER · 2013 to 2017
$903k
6 · The paper itself

Abstract

objectiveTo examine demographic features, psychosocial characteristics, pain-specific behavioral factors, substance abuse history, sleep, and indicators of overall physical function as predictors of opioid misuse in patients presenting for new patient evaluation at a tertiary pain clinic.

methodsOverall, 625 patients with chronic non-cancer pain prospectively completed the Collaborative Health Outcomes Information Registry, assessing pain catastrophizing, National Institutes of Health Patient-Reported Outcomes Measurement Information System standardized measures (pain intensity, pain behavior, pain interference, physical function, sleep disturbance, sleep-related impairment, anger, depression, anxiety, and fatigue), and substance use history. Additional information regarding current opioid prescriptions and opioid misuse was examined through retrospective chart review.

resultsIn all, 41 (6.6%) patients presented with some indication of prescription opioid misuse. In the final multivariable logistic regression model, those with a history of illicit drug use (odds ratio [OR] 5.45, 95% confidence interval [CI] 2.48-11.98,

conclusionThese findings indicate the importance of considering substance use history, current opioid prescriptions, and sleep in universal screening of patients with chronic non-cancer pain for opioid misuse. Future work should target longitudinal studies to verify the causal relationships between these variables and subsequent opioid misuse.

Indexed as

mood substance usepain catastrophizingpatient-reported outcomessleep

Identifiers

PMID28496354
PMCPMC5422534
OpenAlexW2611580340

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.