Evidence map›Paper›PMID 34298161›Full record

ArticleThe journal of pain2022

Worst Pain Severity Profiles of Oncology Patients Are Associated With Significant Stress and Multiple Co-Occurring Symptoms.

Joosun Shin, Carolyn Harris, Kate Oppegaard, Kord M Kober, Steven M Paul, Bruce A Cooper, Marilyn Hammer, Yvette Conley, Jon D Levine, Christine Miaskowski

Open access · greenAbstract read
In one paragraph

Article in The journal of pain, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
16citing papers in PubMed, 1 pooled it
1.2field-weighted citation impact, top 18% 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

16 citing papers in PubMed, 1 synthesis or guideline pooled it, 22 citations in OpenAlex.

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  12. Impact of worst pain severity and morning fatigue profiles on oncology outpatients' symptom burden and quality of life.Supportive care in cancer : official journal of the Multinational Association of Supportive Care in Cancer · 2022
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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

10 authors at 3 institutions in 1 country.

Joosun ShinSchool of Nursing, University of California, San Francisco, California.
Carolyn HarrisSchool of Nursing, University of California, San Francisco, California.
Kate OppegaardSchool of Nursing, University of California, San Francisco, California.
Kord M KoberSchool of Nursing, University of California, San Francisco, California.
Steven M PaulSchool of Nursing, University of California, San Francisco, California.
Bruce A CooperSchool of Nursing, University of California, San Francisco, California.
Marilyn HammerDana Farber Cancer Institute, Boston, Massachusetts.
Yvette ConleySchool of Nursing, University of Pittsburgh, Pittsburgh, Pennsylvania.
Jon D LevineSchool of Medicine, University of California, San Francisco, California.
Christine MiaskowskiSchool of Nursing, University of California, San Francisco, California; School of Medicine, University of California, San Francisco, California. Electronic address: chris.miaskowski@ucsf.edu.
University of California, San Francisco · USDana-Farber Cancer Institute · USUniversity of Pittsburgh · US

Funding

Symptoms Clusters in Oncology Patients Receiving ChemotherapyR01CA134900 · NCI · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI AOUIZERAT, BRADLEY E, MIASKOWSKI, CHRISTINE A. · 2009 to 2014
$5.9M
Biobehavioral Research Training Program in Symptom ScienceT32NR016920 · NINR · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI MIASKOWSKI, CHRISTINE A., WEISS, SANDRA JEAN · 2017 to 2021
$2.4M
NCI NIH HHS R01 CA134900NINR NIH HHS T32 NR016920
6 · The paper itself

Abstract

Little is known about the associations between pain, stress, and co-occurring symptoms in oncology patients. Purpose was to identify subgroups of patients with distinct worst pain profiles and evaluate for differences among the subgroups in demographic and clinical characteristics, as well as stress and symptom scores. Oncology outpatients (n = 1305) completed questionnaires prior to their second or third chemotherapy cycle. Worst pain intensity was assessed 6 times over 2 chemotherapy cycles using a 0 to 10 numeric rating scale. The 371 patients (28.4%) who had ≤1 occurrence of pain over the 6 assessments were classified as the None class. For the remaining 934 patients whose data were entered into the latent profile analysis, 3 distinct worst pain profiles were identified (ie Mild [12.5%], Moderate [28.6%], Severe [30.5%]). Compared to None class, Severe class had fewer years of education and a lower annual income; were less likely to be employed and married; less likely to exercise on a regular basis, had a higher comorbidity burden, and a worse functional status. Compared to None class, Severe class reported higher levels of general, disease-specific, and cumulative life stress and lower levels of resilience, as well as higher levels of depressive symptoms, anxiety, fatigue, sleep disturbance, and cognitive dysfunction. This study is the first to identify distinct worst pain profiles in a large sample of oncology patients receiving chemotherapy and associated risk factors. PERSPECTIVE: Unrelieved pain remains a significant problem for oncology patients receiving chemotherapy. High levels of stress and co-occurring symptoms contribute to a more severe pain profile in these patients.

Indexed as

NeoplasmsResilience, PsychologicalAdultAgedAnxietyCancer PainCognitive DysfunctionComorbidityDepressionFatigueFunctional StatusHumansMaleMiddle AgedPatient AcuitySleep Wake DisordersPain, StressResilience, Cancer, Fatigue, Sleep disturbance, Anxiety, Latent profile analysis

Identifiers

PMID34298161
PMCPMC10788964
OpenAlexW3183712164

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.