Evidence map›Paper›PMID 28478849›Full record

ArticleEuropean journal of oncology nursing : the official journal of European Oncology Nursing Society2017

Differences in symptom clusters identified using symptom occurrence rates versus severity ratings in patients with breast cancer undergoing chemotherapy.

Carmen Ward Sullivan, Heather Leutwyler, Laura B Dunn, Bruce A Cooper, Steven M Paul, Yvette P Conley, Jon D Levine, Christine A Miaskowski

Abstract read
In one paragraph

Article in European journal of oncology nursing : the official journal of European Oncology Nursing Society, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 28 papers, 4 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
28citing papers in PubMed, 4 pooled it
1.5field-weighted citation impact, top 16% 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

28 citing papers in PubMed, 4 syntheses or guidelines pooled it, 40 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
  3. Pooled it
  4. Pooled it
  5. Trial
  6. Music, heart rate variability, and symptom clusters: a comparative study.Supportive care in cancer : official journal of the Multinational Association of Supportive Care in Cancer · 2020
    Trial
  7. Anxiety in breast cancer research (1982-2024): a bibliometric analysis.Clinical & translational oncology : official publication of the Federation of Spanish Oncology Societies and of the National Cancer Institute of Mexico · 2026
    Article
  8. Using confirmatory factor analysis to identify symptom clusters in individuals with acquired disabilities.Quality of life research : an international journal of quality of life aspects of treatment, care and rehabilitation · 2026
    Article
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  19. Symptom clusters in outpatients with cancer using different dimensions of the symptom experience.Supportive care in cancer : official journal of the Multinational Association of Supportive Care in Cancer · 2022
    Article
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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

8 authors at 1 institution in 1 country.

Carmen Ward SullivanDepartment of Physiological Nursing, School of Nursing, University of California at San Francisco, San Francisco, CA, United States.
Heather LeutwylerDepartment of Physiological Nursing, School of Nursing, University of California at San Francisco, San Francisco, CA, United States.
Laura B DunnDepartment of Physiological Nursing, School of Nursing, University of California at San Francisco, San Francisco, CA, United States.
Bruce A CooperDepartment of Physiological Nursing, School of Nursing, University of California at San Francisco, San Francisco, CA, United States.
Steven M PaulDepartment of Physiological Nursing, School of Nursing, University of California at San Francisco, San Francisco, CA, United States.
Yvette P ConleyDepartment of Physiological Nursing, School of Nursing, University of California at San Francisco, San Francisco, CA, United States.
Jon D LevineDepartment of Physiological Nursing, School of Nursing, University of California at San Francisco, San Francisco, CA, United States.
Christine A MiaskowskiDepartment of Physiological Nursing, School of Nursing, University of California at San Francisco, San Francisco, CA, United States. Electronic address: chris.miaskowski@ucsf.edu.
University of California, San Francisco · US

Funding

VARC CoreP30AG044281 · NIA · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI Alexander Keliimoeanu Smith · 2013 to 2026
$19.9M
NURSING RESEARCH TRAINING IN SYMPTOM MANAGEMENTT32NR007088 · NINR · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI LEE, KATHRYN · 1996 to 2015
$7.5M
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
Advancing the Science of Symptom Management in Oncology PatientsK05CA168960 · NCI · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI MIASKOWSKI, CHRISTINE A. · 2013 to 2017
$453k
NCI NIH HHS K05 CA168960NCI NIH HHS R01 CA134900NIA NIH HHS P30 AG044281NINR NIH HHS T32 NR007088
6 · The paper itself

Abstract

purposeOne of the unanswered questions in symptom clusters research is whether the number and types of symptom clusters vary based on the dimension of the symptom experience used to create the clusters. Given that patients with breast cancer receiving chemotherapy (CTX), report between 10 and 32 concurrent symptoms and studies of symptom clusters in these patients are limited, the purpose of this study, in breast cancer patients undergoing CTX (n = 515), was to identify whether the number and types of symptom clusters differed based on whether symptom occurrence rates or symptom severity ratings were used to create the clusters.

methodsA modified version of the Memorial Symptom Assessment Scale was used to assess for the occurrence and severity of 38 symptoms, one week after the administration of CTX. Exploratory factor analysis was used to extract the symptom clusters.

resultsBoth the number and types of symptom clusters were similar using symptom occurrence rates or symptom severity ratings. Five symptom clusters were identified using symptom occurrence rates (i.e., psychological, hormonal, nutritional, gastrointestinal, epithelial). Six symptom clusters (i.e., psychological, hormonal, nutritional, gastrointestinal, epithelial, chemotherapy neuropathy) were identified using symptom severity ratings. Across the two dimensions, the specific symptoms within each of the symptom clusters were similar.

conclusionsIdentification of symptom clusters in patients with breast cancer may be useful in guiding symptom management interventions. Future studies are warranted to determine if symptom clusters remain stable over a cycle of CTX in patients with breast cancer.

Indexed as

SyndromeAdultAgedAged, 80 and overAntineoplastic AgentsBreast NeoplasmsFactor Analysis, StatisticalFemaleHumansLongitudinal StudiesMiddle AgedQuality of LifeSeverity of Illness IndexAntineoplastic AgentsBreast cancerChemotherapyExploratory factor analysisSymptom clustersSymptom occurrenceSymptomsSymptom severity

Identifiers

PMID28478849
PMCPMC5494962
OpenAlexW2608445337

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.