Cited by 65Cancer survivorship and careCancer-related cognitive impairment studiesChildhood Cancer Survivors' Quality of Life

Long-Term Longitudinal Patterns of Patient-Reported Fatigue After Breast Cancer: A Group-Based Trajectory Analysis

Open access
Vaz-Luis, Ines, Di Meglio, Antonio, Havas, Julie, El-Mouhebb, Mayssam, Lapidari, Pietro, Presti, Daniele, Soldato, Davide, Pistilli, Barbara +15 more·2022·Journal of Clinical Oncology

Abstract

PURPOSE: Fatigue is recognized as one of the most burdensome and long-lasting adverse effects of cancer and cancer treatment. We aimed to characterize long-term fatigue trajectories among breast cancer survivors. METHODS: We performed a detailed longitudinal analysis of fatigue using a large ongoing national prospective clinical study (CANcer TOxicity, ClinicalTrials.gov identifier: NCT01993498 ) of patients with stage I-III breast cancer treated from 2012 to 2015. Fatigue was assessed at diagnosis and year 1, 2, and 4 postdiagnosis. Baseline clinical, sociodemographic, behavioral, tumor-related, and treatment-related characteristics were available. Trajectories of fatigue and risk factors of trajectory-group membership were identified by iterative estimates of group-based trajectory models. RESULTS: Three trajectory groups were identified for severe global fatigue (n = 4,173). Twenty-one percent of patients were in the high-risk group, having risk estimates of severe global fatigue of 94.8% (95% CI, 86.6 to 100.0) at diagnosis and 64.6% (95% CI, 59.2 to 70.1) at year 4; 19% of patients clustered in the deteriorating group with risk estimates of severe global fatigue of 13.8% (95% CI, 6.7 to 20.9) at diagnosis and 64.5% (95% CI, 57.3 to 71.8) at year 4; 60% were in the low-risk group with risk estimates of 3.6% (95% CI, 2.5 to 4.7) at diagnosis and 9.6% (95% CI, 7.5 to 11.7) at year 4. The distinct dimensions of fatigue clustered in different trajectory groups than those identified by severe global fatigue, being differentially affected by sociodemographic, clinical, and treatment-related factors. CONCLUSION: Our findings highlight the multidimensional nature of cancer-related fatigue and the complexity of its risk factors. This study helps to identify patients with increased risk of severe fatigue and to inform personalized interventions to ameliorate this problem.

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Integrity signals

Registry

Crossref · 10.1200/jco.21.01958

Cites

45 of 45 references verified0 citation errors · 0 not checkable

Statistics

Claims the paper makes

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Claims other papers make about this one

Each is checked against this paper’s own text: does it say what the citing paper says it does?

  • Previous data have demonstrated considerable interindividuality in the onset, persistence, and longitudinal evolution of treatment-related symptoms.

    “Previous data have demonstrated considerable interindividuality in the onset, persistence, and longitudinal evolution of treatment-related symptoms,5,61,62”

Self-check

Percentages, sums and reported differences re-computed from the paper’s own numbers.

The self-check needs the paper’s full text.

Cites

Flagged first, then by citations

Cited by

Sorted by citations

Authors
Vaz-Luis, I., Di Meglio, A., Havas, J., El-Mouhebb, M., Lapidari, P., Presti, D., Soldato, D., Pistilli, B., Dumas, A., Menvielle, G., Charles, C., Everhard, S., Martin, A.-L., Cottu, P. H., Lerebours, F., Coutant, C., Dauchy, S., Delaloge, S., Lin, N. U., Ganz, P. A., Partridge, A. H., André, F., & Michiels, S.
Affiliations
  • Gustave Roussy, Medical Oncology, Villejuif, France
  • Inserm (FR)
  • INSERM Unit 981–Molecular Predictors and New Targets in Oncology, Gustave Roussy, University Paris-Saclay, Villejuif, France
  • Universite de Paris, ECEVE UMR 1123, INSERM, Paris, France
  • Gustave Roussy, Supportive Care, IPLESP, Paris, France
  • UniCancer Group (FR)
  • Institut Curie (FR)
  • Centre Georges François Leclerc (FR)
  • Institut Gustave Roussy (FR)
  • Dana-Farber Cancer Institute, Boston, MA
  • University of California, Los Angeles (US)
  • Dana-Farber Cancer Institute (US)
Venue
Journal of Clinical Oncology
Published
2022-07-01
Volume
40
Issue
19
Pages
2148-2162
ISSN
  • 0732-183X (ISSN-L)
  • 1527-7755
OpenAlex
W4220672765
Cited by
65
References
45
Citations by year
2026: 16 · 2025: 17 · 2024: 14 · 2023: 13 · 2022: 5
FWCI
2.91
Type
journal article
Language
en
Open access
Licence
cc-by-nc-nd
Locations
  • Journal of Clinical Oncology (publishedVersion, cc-by-nc-nd)
  • SSRN Electronic Journal (publishedVersion)
  • PubMed Central (publishedVersion, cc-by-nc-nd)
  • PubMed (publishedVersion)
  • HAL (submittedVersion, other-oa)
  • eScholarship (California Digital Library) (submittedVersion, cc-by-nc-nd)
Funders
  • Conquer Cancer Foundation
  • American Society of Clinical Oncology
  • Agence Nationale de la Recherche (ANR-10-COHO-0004, ANR-18-IBHU-0002, ANR18, ANR-10)
  • Institut Gustave-Roussy
  • Rising Tide Foundation for Clinical Cancer Research
  • Rising Tide Foundation
Topics
  • Health Sciences › Medicine › Oncology › Cancer survivorship and care
  • Health Sciences › Medicine › Pulmonary and Respiratory Medicine › Cancer-related cognitive impairment studies
  • Health Sciences › Medicine › Pediatrics, Perinatology and Child Health › Childhood Cancer Survivors' Quality of Life
Keywords
cancer-related fatigue, breast cancer survivors, fatigue trajectories, patient-reported outcomes, risk factors for fatigue, multidimensional fatigue, treatment toxicity, sociodemographic factors, personalized interventions
MeSH terms
Patient Reported Outcome Measures, Breast Neoplasms, Fatigue, Female, Humans, Longitudinal Studies, Prospective Studies, Quality of Life, Survivors

About these checks

Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

Statistics and arithmetic are recomputed, not judged.

Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.

What counts as a claim ›How we measure confidence ›How we check this ›

Are you an author, or do you see a problem with this page? Request a review