Evidence map›Paper›PMID 33454824›Full record

ArticleSupportive care in cancer : official journal of the Multinational Association of Supportive Care in Cancer2021

Distinct profiles of multiple co-occurring symptoms in patients with gastrointestinal cancers receiving chemotherapy.

Yufen Lin, Donald E Bailey, Sharron L Docherty, Laura S Porter, Bruce A Cooper, Steven M Paul, Kord M Kober, Marilyn J Hammer, Fay Wright, Laura B Dunn and 3 more

Abstract read
In one paragraph

Article in Supportive care in cancer : official journal of the Multinational Association of Supportive Care in Cancer, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.

0numbers the graph read from it
0cells of the map it votes in
15citing papers in PubMed
–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

15 citing papers in PubMed.

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  11. Patient-Reported Outcomes Measurement Information System in patients with gastrointestinal cancer: a scoping review.Supportive care in cancer : official journal of the Multinational Association of Supportive Care in Cancer · 2023
    Article
  12. Article
  13. The prevalence and risk of symptom and function clusters in colorectal cancer survivors.Journal of cancer survivorship : research and practice · 2022
    Article
  14. Article
  15. Article
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

13 authors.

Yufen LinSchool of Nursing, Duke University, Durham, NC, USA.
Donald E BaileySchool of Nursing, Duke University, Durham, NC, USA.
Sharron L DochertySchool of Nursing, Duke University, Durham, NC, USA.
Laura S PorterSchool of Medicine, Duke University, Durham, NC, USA.
Bruce A CooperSchool of Nursing, University of California, San Francisco, CA, USA.
Steven M PaulSchool of Nursing, University of California, San Francisco, CA, USA.
Kord M KoberSchool of Nursing, University of California, San Francisco, CA, USA.
Marilyn J HammerDana Farber Cancer Institute, Boston, MA, USA.
Fay WrightRory Meyers College of Nursing, New York University, New York, NY, USA.
Laura B DunnSchool of Medicine, Stanford University, Stanford, CA, USA.
Yvette P ConleySchool of Nursing, University of Pittsburgh, Pittsburgh, PA, USA.
Jon D LevineSchool of Medicine, University of California, San Francisco, CA, USA.
Christine MiaskowskiSchool of Nursing, University of California, San Francisco, CA, 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
NCI NIH HHS CA134900NCI NIH HHS R01 CA134900
6 · The paper itself

Abstract

purposeIdentify subgroups of gastrointestinal (GI) cancer patients with distinct multiple co-occurring symptom profiles and evaluate for differences among these subgroups in demographic and clinical characteristics and quality of life (QOL) outcomes.

methodsPatients with GI cancers (n = 399) completed the Memorial Symptom Assessment Scale (MSAS) that was used to assess for multiple co-occurring symptoms. Latent class analysis (LCA) was used to identify subgroups of patients with distinct symptom profiles using symptom occurrence ratings. Differences in demographic and clinical characteristics and QOL outcomes among the subgroups were evaluated using parametric and nonparametric tests.

resultsAll Low (36.6%), Moderate (49.4%), and All High (14.0%) classes were identified. Compared to the All Low class, patients in the other two classes were significantly younger and were more likely to report depression and back pain. Compared to the other two classes, patients in the All High class had fewer years of education and a higher number of comorbidities. Significant differences were found among the three classes for comorbidity burden and total number of MSAS symptoms (i.e., All Low < Moderate < All High), as well as for performance status (i.e., All Low > Moderate > All High). A higher symptom burden was associated with poorer QOL outcomes.

conclusionsThe first study to identify subgroups of patients with GI cancers based on distinct symptom profiles. LCA allowed for the identification of risk factors associated with a higher symptom burden. Clinicians can use this information to identify high-risk patients and develop personalized symptom management interventions.

Indexed as

ComorbidityCross-Sectional StudiesFemaleGastrointestinal NeoplasmsHumansLongitudinal StudiesMaleMiddle AgedProspective StudiesQuality of LifeRisk FactorsChemotherapyGastrointestinal cancerLatent class analysisQuality of lifeSymptoms

Identifiers

PMID33454824
PMCPMC12140973

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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.