Evidence map›Paper›PMID 25828559›Full record

ArticleJournal of pain and symptom management2015

Predictors and Trajectories of Morning Fatigue Are Distinct From Evening Fatigue.

Fay Wright, Gail D'Eramo Melkus, Marilyn Hammer, Brian L Schmidt, M Tish Knobf, Steven M Paul, Frances Cartwright, Judy Mastick, Bruce A Cooper, Lee-May Chen and 5 more

Abstract readComparative Study
In one paragraph

Article in Journal of pain and symptom management, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 44 papers.

0numbers the graph read from it
0cells of the map it votes in
44citing 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

44 citing papers in PubMed.

  1. Trial
  2. Evaluation of coping as a mediator of the relationship between stressful life events and cancer-related distress.Health psychology : official journal of the Division of Health Psychology, American Psychological Association · 2017
    Trial
  3. 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
  4. Article
  5. Article
  6. Article
  7. Article
  8. Review
  9. Identification of distinct symptom profiles in patients with gynecologic cancers using a pre-specified symptom cluster.Supportive care in cancer : official journal of the Multinational Association of Supportive Care in Cancer · 2023
    Article
  10. Prediction of morning fatigue severity in outpatients receiving chemotherapy: less may still be more.Supportive care in cancer : official journal of the Multinational Association of Supportive Care in Cancer · 2023
    Article
  11. Article
  12. Impact of worst pain severity and morning fatigue profiles on oncology outpatients' symptom burden and quality of life.Supportive care in cancer : official journal of the Multinational Association of Supportive Care in Cancer · 2022
    Article
  13. Cumulative burden of symptomatology in patients with gynecologic malignancies undergoing chemotherapy.Health psychology : official journal of the Division of Health Psychology, American Psychological Association · 2022
    Article
  14. Article
  15. Subgroups of patients undergoing chemotherapy with distinct cognitive fatigue and evening physical fatigue profiles.Supportive care in cancer : official journal of the Multinational Association of Supportive Care in Cancer · 2021
    Article
  16. Distinct diarrhea profiles during outpatient chemotherapy.Supportive care in cancer : official journal of the Multinational Association of Supportive Care in Cancer · 2021
    Article
  17. Article
  18. Article
  19. Gastrointestinal symptoms are associated with trajectories of chemotherapy-induced nausea.Supportive care in cancer : official journal of the Multinational Association of Supportive Care in Cancer · 2020
    Article
  20. 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

15 authors.

Fay WrightFlorence S. Downs PhD Program in Nursing Research and Theory Development, College of Nursing, New York University, New York, New York, USA.
Gail D'Eramo MelkusFlorence S. Downs PhD Program in Nursing Research and Theory Development, College of Nursing, New York University, New York, New York, USA.
Marilyn HammerFlorence S. Downs PhD Program in Nursing Research and Theory Development, College of Nursing, New York University, New York, New York, USA.
Brian L SchmidtDepartment of Oral and Maxillofacial Surgery, School of Dentistry, New York University, New York, New York, USA.
M Tish KnobfDivision of Acute Care/Health Systems, Yale School of Nursing, New Haven, Connecticut, USA.
Steven M PaulDepartment of Physiologic Nursing, School of Nursing, University of California at San Francisco, San Francisco, California, USA.
Frances CartwrightMount Sinai Health System, New York, New York, USA.
Judy MastickDepartment of Physiologic Nursing, School of Nursing, University of California at San Francisco, San Francisco, California, USA.
Bruce A CooperDepartment of Physiologic Nursing, School of Nursing, University of California at San Francisco, San Francisco, California, USA.
Lee-May ChenDepartment of Obstetrics and Gynecology, University of California at San Francisco, San Francisco, California, USA.
Michelle MeliskoDepartment of Medicine, School of Medicine, University of California at San Francisco, San Francisco, California, USA.
Jon D LevineDepartment of Oral and Maxillofacial Surgery, School of Dentistry, University of California at San Francisco, San Francisco, California, USA.
Kord KoberDepartment of Physiologic Nursing, School of Nursing, University of California at San Francisco, San Francisco, California, USA.
Bradley E AouizeratDepartment of Physiologic Nursing, School of Nursing, University of California at San Francisco, San Francisco, California, USA; The Institute for Human Genetics, University of California at San Francisco, San Francisco, California, USA.
Christine MiaskowskiDepartment of Physiologic Nursing, School of Nursing, University of California at San Francisco, San Francisco, California, USA. Electronic address: chris.miaskowski@nursing.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
Advancing the Science of Symptom Management in Oncology PatientsK05CA168960 · NCI · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI MIASKOWSKI, CHRISTINE A. · 2013 to 2017
$453k
NCI NIH HHS CA134900NCI NIH HHS CA168960NCI NIH HHS K05 CA168960NCI NIH HHS R01 CA134900
6 · The paper itself

Abstract

contextFatigue is the most common symptom in oncology patients during chemotherapy. Little is known about the predictors of interindividual variability in initial levels and trajectories of morning fatigue severity in these patients.

objectivesAn evaluation was done to determine which demographic, clinical, and symptom characteristics were associated with initial levels as well as the trajectories of morning fatigue and to compare findings with our companion paper on evening fatigue.

methodsA sample of outpatients with breast, gastrointestinal, gynecological, and lung cancer (n = 586) completed demographic and symptom questionnaires a total of six times over two cycles of chemotherapy. Fatigue severity was evaluated using the Lee Fatigue Scale. Hierarchical linear modeling was used to answer the study objectives.

resultsA large amount of interindividual variability was found in the morning fatigue trajectories. A piecewise model fit the data best. Patients with higher body mass index, who did not exercise regularly, with a lower functional status, and who had higher levels of state anxiety, sleep disturbance, and depressive symptoms reported higher levels of morning fatigue at enrollment. Variations in the trajectories of morning fatigue were predicted by the patients' ethnicity and younger age.

conclusionThe modifiable risk factors that were associated with only morning fatigue were body mass index, exercise, and state anxiety. Modifiable risk factors that were associated with both morning and evening fatigue included functional status, depressive symptoms, and sleep disturbance. Using this information, clinicians can identify patients at higher risk for more severe morning fatigue and evening fatigue, provide individualized patient education, and tailor interventions to address the modifiable risk factors.

Indexed as

PhotoperiodAntineoplastic AgentsBody Mass IndexDepressionDisease ProgressionFatigueFemaleHumansLinear ModelsMaleMiddle AgedNeoplasmsOutpatientsPeriodicityRisk FactorsSeverity of Illness IndexAntineoplastic Agentscancerchemotherapydiurnal variationsevening fatiguehierarchical linear modelingMorning fatigueoncologysymptom trajectories

Identifiers

PMID25828559
PMCPMC4526314

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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.