Evidence map›Paper›PMID 38400684›Full record

ArticleCancer medicine2024

Common and distinct risk factors that influence more severe and distressing shortness of breath profiles in oncology outpatients.

Joosun Shin, Marilyn Hammer, Mary E Cooley, Bruce A Cooper, Steven M Paul, Frances Cartwright, Kord M Kober, Yvette P Conley, Jon D Levine, Christine Miaskowski

Open access · goldAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Cancer medicine, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
1.4field-weighted citation impact, top 17% 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

5 citing papers in PubMed, 5 citations in OpenAlex.

  1. Characterization of multidimensional dyspnea in advanced lung cancer with moderate to severe dyspnea-related functional impairment: a latent profile analysis.Supportive care in cancer : official journal of the Multinational Association of Supportive Care in Cancer · 2025
    Trial
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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 at 4 institutions in 1 country.

Joosun ShinDana-Farber Cancer Institute, Boston, Massachusetts, USA.
Marilyn HammerDana-Farber Cancer Institute, Boston, Massachusetts, USA.ORCID 0000-0002-9561-6144
Mary E CooleyDana-Farber Cancer Institute, Boston, Massachusetts, USA.
Bruce A CooperSchool of Nursing, University of California, San Francisco, California, USA.
Steven M PaulSchool of Nursing, University of California, San Francisco, California, USA.
Frances CartwrightMount Sinai Medical Center, New York, New York, USA.
Kord M KoberSchool of Nursing, University of California, San Francisco, California, USA.ORCID 0000-0001-9732-3321
Yvette P ConleySchool of Nursing, University of Pittsburgh, Pittsburgh, Pennsylvania, USA.
Jon D LevineSchool of Medicine, University of California, San Francisco, California, USA.
Christine MiaskowskiSchool of Nursing, University of California, San Francisco, California, USA.ORCID 0000-0001-5170-2027
University of California, San Francisco · USDana-Farber Cancer Institute · USMount Sinai Medical Center · USUniversity of Pittsburgh · 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
NCI NIH HHS CA134900NCI NIH HHS R01 CA134900
6 · The paper itself

Abstract

backgroundShortness of breath occurs in 10%-70% of oncology patients. Very little is known about interindividual variability in its severity and distress and associated risk factors. Using latent profile analyses (LPAs), purpose was to identify subgroups of patients with distinct severity and distress profiles for shortness of breath as single symptom dimensions. In addition, a joint LPA was done using patients' severity AND distress ratings. For each of the three LPAs, differences among the shortness of breath classes in demographic, clinical, symptom, stress, and resilience characteristics were evaluated.

methodsPatients completed ratings of severity and distress from shortness of breath a total of six times over two cycles of chemotherapy. All of the other measures were completed at enrollment (i.e., prior to the second or third cycle of chemotherapy). Separate LPAs were done using ratings of severity and distress, as well as a joint analysis using severity AND distress ratings. Differences among the latent classes were evaluated using parametric and nonparametric tests.

resultsFor severity, two classes were identified (Slight to Moderate [91.6%] and Moderate to Severe [8.4%]). For distress, two classes were identified (A Little Bit to Somewhat [83.9%] and Somewhat to Quite a Bit [16.1%]). For the joint LPA, two classes were identified (Lower Severity and Distress [79.9%] and Higher Severity and Distress [20.1%]). While distinct risk factors were associated with each of the LPAs, across the three LPAs, the common risk factors associated with membership in the worse class included: a past or current history of smoking, poorer functional status, and higher comorbidity burden. In addition, these patients had a higher symptom burden and higher levels of cancer-specific stress.

conclusionsClinicians can use the information provided in this study to identify high-risk patients and develop individualized interventions.

Indexed as

NeoplasmsOutpatientsComorbidityDyspneaHumansRisk Factorscancerchemotherapydistressdyspneashortness of breath

Identifiers

PMID38400684
PMCPMC10891479
OpenAlexW4392138448

What OpenQuestion holds

Textmetadata
LicenceCC BY
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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.