Evidence map›Paper›PMID 38268502›Full record

ArticleJNCI cancer spectrum2024

Trajectories and predictors of high-occurrence pain flares in ambulatory cancer patients on opioids.

Salimah H Meghani, Ryan Quinn, Andrew Robinson, Jesse Chittams, Neha Vapiwala, Mary Naylor, Martin Cheatle, George J Knafl

Open access · goldAbstract read
In one paragraph

Article in JNCI cancer spectrum, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
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0citing papers in PubMed
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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

0 citing papers in PubMed, 0 citations in OpenAlex.

No citing paper in PubMed yet.

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 at 2 institutions in 1 country.

Salimah H MeghaniDepartment of Biobehavioral Health Sciences; NewCourtland Center for Transitions and Health, University of Pennsylvania, Philadelphia, PA, USA.ORCID 0000-0002-5866-8279
Ryan QuinnDepartment of Biobehavioral Health Sciences; NewCourtland Center for Transitions and Health, University of Pennsylvania, Philadelphia, PA, USA.
Andrew RobinsonDepartment of Biobehavioral Health Sciences; NewCourtland Center for Transitions and Health, University of Pennsylvania, Philadelphia, PA, USA.
Jesse ChittamsDepartment of Biobehavioral Health Sciences; NewCourtland Center for Transitions and Health, University of Pennsylvania, Philadelphia, PA, USA.
Neha VapiwalaAbramson Cancer Center, University of Pennsylvania, Philadelphia, PA, USA.
Mary NaylorDepartment of Biobehavioral Health Sciences; NewCourtland Center for Transitions and Health, University of Pennsylvania, Philadelphia, PA, USA.
Martin CheatlePerelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA.ORCID 0000-0002-6793-6474
George J KnaflSchool of Nursing, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA.
University of Pennsylvania · USUniversity of North Carolina at Chapel Hill · US

Funding

The Role of Opioid Adherence Profiles in Cancer Pain Self-Management and OutcomesR01NR017853 · NINR · UNIVERSITY OF PENNSYLVANIA · PI MEGHANI, SALIMAH H. · 2019 to 2023
$2.7M
NIH HHSNINR NIH HHS R01 NR017853
6 · The paper itself

Abstract

backgroundPain flares have a substantive impact on the quality of life and well-being of patients with cancer. We identified longitudinal trajectories (clusters) of cancer pain flares in ambulatory patients and sociodemographic and clinical predictors of these trajectories.

methodsIn a prospective cohort study using ecological momentary assessment (mEMA), we collected patient-reported daily pain flare ratings data over 5 months and identified predictors and correlates using validated measures.

resultsThe mean age of the sample (N = 270) was 60.9 years (SD = 11.2), 64.8% were female, and 32.6% self-identified as African American. Four pain flare clusters were identified. The "high-occurrence" cluster (23% of patients) experienced 5.5 (SD = 5.47) daily flares, whereas low-moderate clusters (77%) reported 2.4 (SD = 2.74) daily flares (P < .000). Those in the high-occurrence cluster reported higher pain scores (P = .000), increased pain-related interference (P = .000), depressive symptoms (P = .023), lower quality of life (P = .001), and reduced pain self-efficacy (P = .006). Notably, 67.2% of those prescribed opioids as needed (PRN only) were in the high-occurrence pain flare cluster, compared with 27.9% with PRN and around-the-clock opioid prescriptions (P = .024). Individual predictors of high-occurrence pain flares were income below $30 000, unemployment, being African American, lower education level, Medicaid insurance, current opioid misuse (COMM), baseline inpatient hospital stay duration, and PRN-only opioid regimen. In the multiple predictor model, lower education level, unemployment, COMM score, extended inpatient duration, and PRN-only opioid regimen remained significant.

conclusionIn ambulatory patients with cancer, high occurrence of pain flares may be mitigated by attention to opioid prescription factors and addressing social determinants of health needs of underserved patients.

Indexed as

Analgesics, OpioidNeoplasmsFemaleHumansMaleMiddle AgedPainProspective StudiesQuality of LifeSymptom Flare UpUnited StatesAnalgesics, Opioid

Identifiers

PMID38268502
PMCPMC10880071
OpenAlexW4391212725

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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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.