Evidence map›Paper›PMID 36355215›Full record

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

Impact of worst pain severity and morning fatigue profiles on oncology outpatients' symptom burden and quality of life.

Brittany Bouvron, Lynda Mackin, Kord M Kober, Steven M Paul, Bruce A Cooper, Yvette P Conley, Marilyn J Hammer, Fay Wright, Jon D Levine, Christine Miaskowski

Abstract read
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In one paragraph

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 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Joint nausea and fatigue profiles during chemotherapy identify patients with a higher symptom burden.Supportive care in cancer : official journal of the Multinational Association of Supportive Care in Cancer · 2026
    Article
  2. Article
  3. 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

10 authors.

Brittany BouvronSchool of Nursing, University of California, San Francisco, CA, USA.
Lynda MackinSchool of Nursing, University of California, San Francisco, CA, USA.
Kord M KoberSchool of Nursing, University of California, San Francisco, CA, USA.
Steven M PaulSchool of Nursing, University of California, San Francisco, CA, USA.
Bruce A CooperSchool of Nursing, University of California, San Francisco, CA, USA.
Yvette P ConleySchool of Nursing, University of Pittsburgh, Pittsburgh, PA, USA.
Marilyn J HammerDana-Farber Cancer Institute, Boston, MA, USA.
Fay WrightRory Meyers College of Nursing, New York University, New York, NY, 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.

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 CA134900
6 · The paper itself

Abstract

purposePain and fatigue are common symptoms in oncology patients. In a sample of oncology outpatients receiving chemotherapy (n = 1342), the study purposes were to identify subgroups of patients with distinct worst pain and morning fatigue profiles and evaluate for differences among the subgroups in demographic and clinical characteristics, as well as the severity of common symptoms and quality of life (QOL) outcomes.

methodsOncology outpatients receiving chemotherapy (n = 1342) completed self-report questionnaires to assess pain and morning fatigue, a total of six times over two cycles of chemotherapy. Joint latent profile analysis was used to identify subgroups of patients with distinct pain and morning fatigue profiles. Differences among the classes were evaluated using parametric and non-parametric tests.

resultsFive distinct profiles were identified (no pain and low morning fatigue (27.6%), moderate pain and low morning fatigue (28.2%), moderate pain and morning fatigue (28.0%), moderate pain and increasing and decreasing morning fatigue (6.9%), severe pain and very high morning fatigue (9.3%)). Patients with the three worst profiles had clinically meaningful levels of depression and sleep disturbance and decrements in QOL.

conclusionsOver 44% of the sample had moderate to high levels of both pain and morning fatigue. Unrelieved pain may contribute to disturbed sleep which results in higher levels of morning fatigue. Clinicians need to assess for pain and fatigue, as well as sleep disturbance during chemotherapy.

Indexed as

NeoplasmsSleep Wake DisordersDepressionFatigueHumansOutpatientsPainPain MeasurementQuality of LifeCancerChemotherapyFatigueMorning fatiguePainQuality of lifeSleep disturbance

Identifiers

PMID36355215

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Registered trials

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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.