Evidence map›Paper›PMID 35439202›Full record

ArticleCancer nursing

Distinct Worst Pain Profiles in Oncology Outpatients Undergoing Chemotherapy.

Joosun Shin, Kate Oppegaard, Alejandra Calvo-Schimmel, Carolyn Harris, Bruce A Cooper, Steven M Paul, Yvette P Conley, Marilyn J Hammer, Frances Cartwright, Kord M Kober and 2 more

Open access · greenAbstract read
In one paragraph

Article in Cancer nursing. 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
2.5field-weighted citation impact, top 10% 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

6 citing papers in PubMed, 11 citations in OpenAlex.

  1. Article
  2. Risk factors associated with the co-occurrence of severe pain and sleep disturbance in oncology outpatients receiving chemotherapy.Supportive care in cancer : official journal of the Multinational Association of Supportive Care in Cancer · 2025
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  4. Review
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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

12 authors at 1 institution in 1 country.

Joosun ShinAuthor Affiliations: School of Nursing, University of California, San Francisco (Mss Shin, Oppegaard, and Harris and Drs Calvo-Schimmel, Cooper, Paul, Kober, and Miaskowski); School of Nursing, University of Pittsburgh, Pennsylvania (Dr Conley); Dana Farber Cancer Institute, Boston, Massachusetts (Dr Hammer); Mount Sinai Medical Center, New York (Dr Cartwright); and School of Medicine, University of California, San Francisco (Drs Levine and Miaskowski).
Kate Oppegaard
Alejandra Calvo-Schimmel
Carolyn Harris
Bruce A Cooper
Steven M Paul
Yvette P Conley
Marilyn J Hammer
Frances Cartwright
Kord M Kober
Jon D Levine
Christine Miaskowski
University of California System · 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

backgroundWhile pain is a significant problem for oncology patients, little is known about interindividual variability in pain characteristics.

objectiveThe aims of this study were to identify subgroups of patients with distinct worst pain severity profiles and evaluate for differences among these subgroups in demographic, clinical, and pain characteristics and stress and symptom scores.

methodsPatients (n = 934) completed questionnaires 6 times over 2 chemotherapy cycles. Worst pain intensity was assessed using a 0- to 10-point numeric rating scale. Brief Pain Inventory was used to assess various pain characteristics. Latent profile analysis was used to identify subgroups of patients with distinct pain profiles.

resultsThree worst pain profiles were identified (low [17.5%], moderate [39.9%], severe [42.6%]). Compared with the other 2 classes, severe class was more likely to be single and unemployed and had a lower annual household income, a higher body mass index, a higher level of comorbidity, and a poorer functional status. Severe class was more likely to have both cancer and noncancer pain, a higher number of pain locations, higher frequency and duration of pain, worse pain quality scores, and higher pain interference scores. Compared with the other 2 classes, severe class reported lower satisfaction with pain management and higher global, disease-specific, and cumulative life stress, as well as higher anxiety, depression, fatigue, sleep disturbance, and cognitive dysfunction scores.

conclusionsUnrelieved pain is a significant problem for more than 80% of outpatients. IMPLICATIONS FOR PRACTICE: Clinicians need to perform comprehensive pain assessments; prescribe pharmacologic and nonpharmacologic interventions; and initiate referrals for pain management and psychological services.

Indexed as

NeoplasmsOutpatientsComorbidityFatigueHumansPainQuality of LifeSurveys and Questionnaires

Identifiers

PMID35439202
PMCPMC9554042
OpenAlexW4224290349

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.