Evidence map›Paper›PMID 35543816›Full record

ArticleSupportive care in cancer : official journal of the Multinational Association of Supportive Care in Cancer2022

Symptom clusters in outpatients with cancer using different dimensions of the symptom experience.

Carolyn S Harris, Kord M Kober, Bruce Cooper, Yvette P Conley, Anand A Dhruva, Marilyn J Hammer, Steven Paul, Jon D Levine, Christine A Miaskowski

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Article in Supportive care in cancer : official journal of the Multinational Association of Supportive Care in Cancer, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 22 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
22citing papers in PubMed, 1 pooled it
–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

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

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  12. Symptom cluster among cancer survivors from a nationally representative survey: a network analysis.Supportive care in cancer : official journal of the Multinational Association of Supportive Care in Cancer · 2024
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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

9 authors.

Carolyn S HarrisSchool of Nursing, University of California, 2 Koret Way - N631Y, San Francisco, CA, 94143-0610, USA.
Kord M KoberSchool of Nursing, University of California, 2 Koret Way - N631Y, San Francisco, CA, 94143-0610, USA.
Bruce CooperSchool of Nursing, University of California, 2 Koret Way - N631Y, San Francisco, CA, 94143-0610, USA.
Yvette P ConleySchool of Nursing, University of Pittsburgh, Pittsburgh, PA, USA.
Anand A DhruvaSchool of Medicine, University of California, San Francisco, CA, USA.
Marilyn J HammerDana-Farber Cancer Institute, Boston, MA, USA.
Steven PaulSchool of Nursing, University of California, 2 Koret Way - N631Y, San Francisco, CA, 94143-0610, USA.
Jon D LevineSchool of Medicine, University of California, San Francisco, CA, USA.
Christine A MiaskowskiSchool of Nursing, University of California, 2 Koret Way - N631Y, San Francisco, CA, 94143-0610, USA. chris.miaskowski@ucsf.edu.ORCID http://orcid.org/0000-0001-5170-2027

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
American Cancer Society 134336-DSCN-20-073-01-SCNNCI NIH HHS CA134900NCI NIH HHS R01 CA134900NINR NIH HHS T32 NR016920NINR NIH HHS T32NR016920
6 · The paper itself

Abstract

purposeRelatively few studies have evaluated for symptom clusters across multiple dimensions. It is unknown whether the symptom dimension used to create symptom clusters influences the number and types of clusters that are identified. Study purposes were to describe ratings of occurrence, severity, and distress for 38 symptoms in a heterogeneous sample of oncology patients (n = 1329) undergoing chemotherapy; identify and compare the number and types of symptom clusters based on three dimensions (i.e., occurrence, severity, and distress); and identify common and distinct clusters.

methodsA modified version of the Memorial Symptom Assessment Scale was used to assess the occurrence, severity, and distress ratings of 38 symptoms in the week prior to patients' next cycle of chemotherapy. Symptom clusters for each dimension were identified using exploratory factor analysis.

resultsPatients reported an average of 13.9 (±7.2) concurrent symptoms. Lack of energy was both the most common and severe symptom while "I don't look like myself" was the most distressing. Psychological, gastrointestinal, weight gain, respiratory, and hormonal clusters were identified across all three dimensions. Findings suggest that psychological, gastrointestinal, and weight gain clusters are common while respiratory and hormonal clusters are distinct.

conclusionsPsychological, gastrointestinal, weight gain, hormonal, and respiratory clusters are stable across occurrence, severity, and distress in oncology patients receiving chemotherapy. Given the stability of these clusters and the consistency of the symptoms across dimensions, the use of a single dimension to identify these clusters may be sufficient. However, comprehensive and disease-specific inventories need to be used to identify distinct clusters.

Indexed as

Antineoplastic AgentsNeoplasmsHumansLongitudinal StudiesOutpatientsSeverity of Illness IndexSyndromeWeight GainAntineoplastic AgentsCancerChemotherapySymptom clustersSymptoms

Identifiers

PMID35543816
PMCPMC10792845

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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.