Evidence map›Paper›PMID 33773068›Full record

ArticlePM & R : the journal of injury, function, and rehabilitation2022

Opioid use and social disadvantage in patients with chronic musculoskeletal pain.

Abby L Cheng, Brian K Brady, Ethan C Bradley, Ryan P Calfee, Lisa M Klesges, Graham A Colditz, Heidi Prather

Open access · greenAbstract read
In one paragraph

Article in PM & R : the journal of injury, function, and rehabilitation, 2022. 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
1.4field-weighted citation impact, top 19% 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, 8 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 1 institution in 1 country.

Abby L ChengDivision of Physical Medicine and Rehabilitation, Department of Orthopaedic Surgery, Washington University in St. Louis School of Medicine, St. Louis, Missouri, USA.ORCID 0000-0002-8166-0806
Brian K BradyWashington University in St. Louis School of Medicine, St. Louis, Missouri, USA.
Ethan C BradleyThe Brown School of Social Work, Washington University in St. Louis, St. Louis, Missouri, USA.
Ryan P CalfeeDivision of Hand and Microsurgery, Department of Orthopaedic Surgery, Washington University in St. Louis School of Medicine, St. Louis, Missouri, USA.
Lisa M KlesgesDivision of Public Health Sciences, Department of Surgery, Washington University in St. Louis School of Medicine, St. Louis, Missouri, USA.
Graham A ColditzDivision of Public Health Sciences, Department of Surgery, Washington University in St. Louis School of Medicine, St. Louis, Missouri, USA.
Heidi PratherDivision of Physical Medicine and Rehabilitation, Department of Orthopaedic Surgery, Washington University in St. Louis School of Medicine, St. Louis, Missouri, USA.
Washington University in St. Louis · US

Funding

Predicting patient-reported outcomes in patients with pre-arthritic hip disordersK23AR074520 · NIAMS · WASHINGTON UNIVERSITY · PI CHENG, ABBY LING-LEE · 2019 to 2023
$881k
NIAMS NIH HHS K23 AR074520
6 · The paper itself

Abstract

backgroundHistorically, marginalized patients were prescribed less opioid medication than affluent, white patients. However, because of persistent differential access to nonopioid pain treatments, this direction of disparity in opioid prescribing may have reversed.

objectiveTo compare social disadvantage and health in patients with chronic pain who were managed with versus without chronic opioid therapy. It was hypothesized that patients routinely prescribed opioids would be more likely to live in socially disadvantaged communities and report worse health.

designCross-sectional analysis of a retrospective cohort defined from medical records from 2000 to 2019.

settingSingle tertiary safety net medical center. PATIENTS: Adult patients with chronic musculoskeletal pain who were managed longitudinally by a physiatric group practice from at least 2011 to 2015 (n = 1173), subgrouped by chronic (≥4 years) adherent opioid usage (n = 356) versus no chronic opioid usage (n = 817).

interventionNot applicable.

main outcome measuresThe primary outcome was the unadjusted between-group difference in social disadvantage, defined by living in the worst national quartile of the Area Deprivation Index (ADI). An adjusted effect size was also calculated using logistic regression, with age, sex, race, and Patient-Reported Outcomes Measurement Information System (PROMIS) Pain Interference and Physical Function scores as covariates. Secondary outcomes included adjusted differences in health by chronic opioid use (measured by PROMIS).

resultsPatients managed with chronic opioid therapy were more likely to live in a zip code within the most socially disadvantaged national quartile (34.9%; 95% confidence interval [CI] 29.9-39.9%; vs. 24.9%; 95% CI 21.9-28.0%; P < .001), and social disadvantage was independently associated with chronic opioid use (odds ratio [OR] 1.01 per ADI percentile [1.01-1.02]). Opioid use was also associated with meaningfully worse PROMIS Depression (3.8 points [2.4-5.1]), Anxiety (3.0 [1.4-4.5]), and Pain Interference (2.6 [1.7-3.5]) scores.

conclusionsPatients prescribed chronic opioid treatment were more likely to live in socially disadvantaged neighborhoods, and chronic opioid use was independently associated with worse behavioral health. Improving access to multidisciplinary, nonopioid treatments for chronic pain may be key to successfully overcoming the opioid crisis.

Indexed as

Chronic PainMusculoskeletal PainAdultAnalgesics, OpioidCross-Sectional StudiesHumansPatient Reported Outcome MeasuresPractice Patterns, Physicians'Retrospective StudiesAnalgesics, Opioid

Identifiers

PMID33773068
PMCPMC8464618
OpenAlexW3150481123

What OpenQuestion holds

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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.