Evidence map›Paper›PMID 30768960›Full record

ArticleJournal of pain and symptom management2019

Stability of Symptom Clusters in Patients With Lung Cancer Receiving Chemotherapy.

Jacquelyn Russell, Melisa L Wong, Lynda Mackin, Steven M Paul, Bruce A Cooper, Marilyn Hammer, Yvette P Conley, Fay Wright, Jon D Levine, Christine Miaskowski

Abstract read
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In one paragraph

Article in Journal of pain and symptom management, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 35 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
35citing papers in PubMed, 2 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

35 citing papers in PubMed, 2 syntheses or guidelines pooled it.

  1. Pooled it
  2. Pooled it
  3. Symptoms experienced during the first 4 months of chemotherapy administration: a longitudinal cohort study in an Australian cancer treatment unit.Supportive care in cancer : official journal of the Multinational Association of Supportive Care in Cancer · 2026
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  6. Symptom clusters and network analysis in lung cancer patients receiving taxane-based chemotherapy: a comprehensive assessment using the CIPNAT multi-scale tool.Supportive care in cancer : official journal of the Multinational Association of Supportive Care in Cancer · 2026
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  8. Review
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  14. Symptom clusters and impact on quality of life in lung cancer patients undergoing chemotherapy.Quality of life research : an international journal of quality of life aspects of treatment, care and rehabilitation · 2024
    Article
  15. Article
  16. Symptom clusters and symptom network analysis during immunotherapy in lung cancer patients.Supportive care in cancer : official journal of the Multinational Association of Supportive Care in Cancer · 2024
    Article
  17. The change of symptom clusters in gastric cancer patients during the perioperative period: a longitudinal study.Supportive care in cancer : official journal of the Multinational Association of Supportive Care in Cancer · 2024
    Article
  18. Identifying symptom clusters and temporal interconnections in patients with lung tumors after CT-guided microwave ablation: A network analysis.Supportive care in cancer : official journal of the Multinational Association of Supportive Care in Cancer · 2024
    Article
  19. 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

10 authors.

Jacquelyn RussellSchool of Nursing, University of California, San Francisco, California, USA.
Melisa L WongSchool of Medicine, University of California, San Francisco, California, USA.
Lynda MackinSchool of Nursing, University of California, San Francisco, California, USA.
Steven M PaulSchool of Nursing, University of California, San Francisco, California, USA.
Bruce A CooperSchool of Nursing, University of California, San Francisco, California, USA.
Marilyn HammerDepartment of Nursing, Mount Sinai Medical Center, New York, New York, USA.
Yvette P ConleySchool of Nursing, University of Pittsburgh, Pittsburgh, Pennsylvania, USA.
Fay WrightRory Meyers College of Nursing, New York University, New York, New York, USA.
Jon D LevineSchool of Medicine, University of California, San Francisco, California, USA.
Christine MiaskowskiSchool of Nursing, University of California, San Francisco, California, USA. Electronic address: chris.miaskowski@ucsf.edu.

Funding

VARC CoreP30AG044281 · NIA · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI Alexander Keliimoeanu Smith · 2013 to 2026
$19.9M
Institutional Career Development Core SupplementKL2TR001870 · NCATS · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI KANAYA, ALKA M., SARKAR, URMIMALA · 2016 to 2025
$19.7M
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
NCATS NIH HHS KL2 TR001870NCI NIH HHS K05 CA168960NCI NIH HHS R01 CA134900NIA NIH HHS P30 AG044281
6 · The paper itself

Abstract

contextPatients with lung cancer who undergo chemotherapy (CTX) experience multiple symptoms. Evaluation of how these symptoms cluster together and how these symptom clusters change over time are salient questions in symptom clusters research.

objectivesThe purposes of this analysis, in a sample of patients with lung cancer (n = 145) who were receiving CTX, were to 1) evaluate for differences in the number and types of symptom clusters at three time points (i.e., before their next cycle of CTX, the week after CTX, and two weeks after CTX) using ratings of symptom occurrence and severity and 2) evaluate for changes in these symptom clusters over time.

methodsAt each assessment, a modified version of the Memorial Symptom Assessment Scale was used to assess the occurrence and severity of 38 symptoms. Exploratory factor analyses were used to extract the symptom clusters.

resultsAcross the two symptom dimensions (i.e., occurrence and severity) and the three assessments, six distinct symptom clusters were identified; however, only three of these clusters (i.e., lung cancer specific, psychological, nutritional) were relatively stable across both dimensions and across time. Two additional clusters varied by time but not by symptom dimension (i.e., epithelial/gastrointestinal and epithelial). A sickness behavior cluster was identified at each assessment with the exception of the week before CTX using only the severity dimension.

conclusionFindings provide insights into the most common symptom clusters in patients with lung cancer undergoing CTX. Most common symptoms within each cluster appear to be relatively stable across the two dimensions, as well as across time.

Indexed as

Antineoplastic AgentsCluster AnalysisFactor Analysis, StatisticalFemaleHumansLongitudinal StudiesLung NeoplasmsMaleMiddle AgedSeverity of Illness IndexSyndromeTime FactorsAntineoplastic Agentschemotherapyexploratory factor analysislung cancersymptom clusterssymptom occurrenceSymptomssymptom severity

Identifiers

PMID30768960
PMCPMC6486424

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.