Evidence map›Paper›PMID 32945786›Full record

ArticleClinical journal of oncology nursing2020

Characterizing Pain Experiences: African American Patients With Multiple Myeloma Taking Around-the-Clock Opioids.

Sarah M Belcher, Deborah Watkins Bruner, Craig C Hofmeister, Jaime Kweon, Salimah H Meghani, Katherine A Yeager

Abstract read
In one paragraph

Article in Clinical journal of oncology nursing, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
–field-weighted citation impact
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

6 citing papers in PubMed.

  1. Psychometric evaluation of the PROMISJournal of patient-reported outcomes · 2026
    Observational
  2. Review
  3. Review
  4. Review
  5. Use of complementary and integrative health in cancer pain management among patients undergoing cancer treatments: a qualitative descriptive study.Supportive care in cancer : official journal of the Multinational Association of Supportive Care in Cancer · 2022
    Article
  6. Article
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

6 authors.

Sarah M BelcherUniversity of Pittsburgh.
Deborah Watkins BrunerEmory University.
Craig C HofmeisterEmory University.
Jaime KweonCommunity Health Services.
Salimah H MeghaniUniversity of Pennsylvania.
Katherine A YeagerEmory University.

Funding

Adherence in African Americans Being Treated for Cancer Pain K01NR014673 · NINR · EMORY UNIVERSITY · PI YEAGER, KATHERINE AYLWARD · 2013 to 2015
$275k
NINR NIH HHS K01 NR014673
6 · The paper itself

Abstract

backgroundDespite known disparities by race, studies to date have not focused on pain characterization among African American patients with multiple myeloma.

objectivesThis study aimed to characterize the pain experience, beliefs about pain and pain control, and additional symptoms among African American patients with multiple myeloma taking around-the-clock opioids.

methodsThis study employed secondary analysis of baseline data from a completed longitudinal study of opioid adherence. Descriptive statistics were used to characterize the sample, pain experience, beliefs regarding pain and pain control, and related symptoms.

findingsParticipants (N = 34) experienced everyday pain and additional symptoms, and half experienced depression. Pain management barriers included dislike of pills, fear of addiction, and bothersome side effects from pain and medication. Additional larger studies can incorporate multilevel factors contributing to high symptom burden.

Indexed as

Analgesics, OpioidMultiple MyelomaBlack or African AmericanHumansLongitudinal StudiesPainAnalgesics, OpioidAfrican Americancancermultiple myelomaopioidspainsupportive care

Identifiers

PMID32945786
PMCPMC10432153

What OpenQuestion holds

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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.