Uptake of Recommendations for Posttreatment Cancer-Related Fatigue Among Breast Cancer Survivors.


Journal

Journal of the National Comprehensive Cancer Network : JNCCN
ISSN: 1540-1413
Titre abrégé: J Natl Compr Canc Netw
Pays: United States
ID NLM: 101162515

Informations de publication

Date de publication:
07 02 2022
Historique:
received: 20 08 2020
received: 05 11 2020
accepted: 26 04 2021
medline: 3 4 2023
pubmed: 8 2 2022
entrez: 7 2 2022
Statut: epublish

Résumé

Physical activity (PA) and psychosocial interventions are recommended management strategies for cancer-related fatigue (CRF). Randomized trials support the use of mind-body techniques, whereas no data show benefit for homeopathy or naturopathy. We used data from CANTO (ClinicalTrials.gov identifier: NCT01993498), a multicenter, prospective study of stage I-III breast cancer (BC). CRF, evaluated after primary treatment completion using the EORTC QLQ-C30 (global CRF) and QLQ-FA12 (physical, emotional, and cognitive dimensions), served as the independent variable (severe [score of ≥40/100] vs nonsevere). Outcomes of interest were adherence to PA recommendations (≥10 metabolic equivalent of task [MET] h/week [GPAQ-16]) and participation in consultations with a psychologist, psychiatrist, acupuncturist, or other complementary and alternative medicine (CAM) practitioner (homeopath and/or naturopath) after CRF assessment. Multivariable logistic regression examined associations between CRF and outcomes, adjusting for sociodemographic, psychologic, tumor, and treatment characteristics. Among 7,902 women diagnosed from 2012 through 2017, 36.4% reported severe global CRF, and 35.8%, 22.6%, and 14.1% reported severe physical, emotional, and cognitive CRF, respectively. Patients reporting severe global CRF were less likely to adhere to PA recommendations (60.4% vs 66.7%; adjusted odds ratio [aOR], 0.82; 95% CI, 0.71-0.94; P=.004), and slightly more likely to see a psychologist (13.8% vs 7.5%; aOR, 1.29; 95% CI, 1.05-1.58; P=.014), psychiatrist (10.4% vs 5.0%; aOR, 1.39; 95% CI, 1.10-1.76; P=.0064), acupuncturist (9.8% vs 6.5%; aOR, 1.46; 95% CI, 1.17-1.82; P=.0008), or CAM practitioner (12.5% vs 8.2%; aOR, 1.49; 95% CI, 1.23-1.82; P<.0001). There were differences in recommendation uptake by CRF dimension, including that severe physical CRF was associated with lower adherence to PA (aOR, 0.74; 95% CI, 0.63-0.86; P=.0001) and severe emotional CRF was associated with higher likelihood of psychologic consultations (aOR, 1.37; 95% CI, 1.06-1.79; P=.017). Uptake of recommendations to improve CRF, including adequate PA and use of psychosocial services, seemed suboptimal among patients with early-stage BC, whereas there was a nonnegligible interest in homeopathy and naturopathy. Findings of this large study indicate the need to implement recommendations for managing CRF in clinical practice.

Sections du résumé

BACKGROUND
Physical activity (PA) and psychosocial interventions are recommended management strategies for cancer-related fatigue (CRF). Randomized trials support the use of mind-body techniques, whereas no data show benefit for homeopathy or naturopathy.
METHODS
We used data from CANTO (ClinicalTrials.gov identifier: NCT01993498), a multicenter, prospective study of stage I-III breast cancer (BC). CRF, evaluated after primary treatment completion using the EORTC QLQ-C30 (global CRF) and QLQ-FA12 (physical, emotional, and cognitive dimensions), served as the independent variable (severe [score of ≥40/100] vs nonsevere). Outcomes of interest were adherence to PA recommendations (≥10 metabolic equivalent of task [MET] h/week [GPAQ-16]) and participation in consultations with a psychologist, psychiatrist, acupuncturist, or other complementary and alternative medicine (CAM) practitioner (homeopath and/or naturopath) after CRF assessment. Multivariable logistic regression examined associations between CRF and outcomes, adjusting for sociodemographic, psychologic, tumor, and treatment characteristics.
RESULTS
Among 7,902 women diagnosed from 2012 through 2017, 36.4% reported severe global CRF, and 35.8%, 22.6%, and 14.1% reported severe physical, emotional, and cognitive CRF, respectively. Patients reporting severe global CRF were less likely to adhere to PA recommendations (60.4% vs 66.7%; adjusted odds ratio [aOR], 0.82; 95% CI, 0.71-0.94; P=.004), and slightly more likely to see a psychologist (13.8% vs 7.5%; aOR, 1.29; 95% CI, 1.05-1.58; P=.014), psychiatrist (10.4% vs 5.0%; aOR, 1.39; 95% CI, 1.10-1.76; P=.0064), acupuncturist (9.8% vs 6.5%; aOR, 1.46; 95% CI, 1.17-1.82; P=.0008), or CAM practitioner (12.5% vs 8.2%; aOR, 1.49; 95% CI, 1.23-1.82; P<.0001). There were differences in recommendation uptake by CRF dimension, including that severe physical CRF was associated with lower adherence to PA (aOR, 0.74; 95% CI, 0.63-0.86; P=.0001) and severe emotional CRF was associated with higher likelihood of psychologic consultations (aOR, 1.37; 95% CI, 1.06-1.79; P=.017).
CONCLUSIONS
Uptake of recommendations to improve CRF, including adequate PA and use of psychosocial services, seemed suboptimal among patients with early-stage BC, whereas there was a nonnegligible interest in homeopathy and naturopathy. Findings of this large study indicate the need to implement recommendations for managing CRF in clinical practice.

Identifiants

pubmed: 35130491
doi: 10.6004/jnccn.2021.7051
pii: jnccn20441
doi:

Banques de données

ClinicalTrials.gov
['NCT01993498']

Types de publication

Multicenter Study Journal Article Research Support, Non-U.S. Gov't

Langues

eng

Sous-ensembles de citation

IM

Auteurs

Antonio Di Meglio (A)

1INSERM Unit 981, Molecular Predictors and New Targets in Oncology, Gustave Roussy, Villejuif.

Cecile Charles (C)

2Département de Soins de Support, Gustave Roussy, Villejuif.
3Laboratoire de Psychopathologie et Processus de Santé, Université Paris Descartes-Sorbonne Paris Cité, Boulogne-Billancourt.

Elise Martin (E)

1INSERM Unit 981, Molecular Predictors and New Targets in Oncology, Gustave Roussy, Villejuif.

Julie Havas (J)

1INSERM Unit 981, Molecular Predictors and New Targets in Oncology, Gustave Roussy, Villejuif.

Arnauld Gbenou (A)

1INSERM Unit 981, Molecular Predictors and New Targets in Oncology, Gustave Roussy, Villejuif.

Jean-Daniel Flaysakier (JD)

1INSERM Unit 981, Molecular Predictors and New Targets in Oncology, Gustave Roussy, Villejuif.

Anne-Laure Martin (AL)

4UNICANCER, Paris.

Sibille Everhard (S)

4UNICANCER, Paris.

Enora Laas (E)

5Medical Oncology, Institut Curie, Paris.

Nicolas Chopin (N)

6Medical Oncology, Centre Léon Berard, Lyon.

Laurence Vanlemmens (L)

7Medical Oncology, Centre Oscar Lambret, Lille.

Christelle Jouannaud (C)

8Medical Oncology, Institut Jean Godinot, Reims.

Christelle Levy (C)

9Medical Oncology, Centre François Baclesse, Caen.

Olivier Rigal (O)

10Medical Oncology, Centre Henri Becquerel, Rouen.

Marion Fournier (M)

11Medical Oncology, Institut Bergonié, Bordeaux.

Patrick Soulie (P)

12Medical Oncology, Institut de Cancérologie de L'ouest-Paul Papin, Angers.

Florian Scotte (F)

2Département de Soins de Support, Gustave Roussy, Villejuif.

Barbara Pistilli (B)

1INSERM Unit 981, Molecular Predictors and New Targets in Oncology, Gustave Roussy, Villejuif.

Agnes Dumas (A)

13Universite de Paris, ECEVE UMR 1123 INSERM, Paris.

Gwenn Menvielle (G)

14Institut Pierre Louis d'Épidémiologie et de Santé Publique, Sorbonne Université, INSERM, Paris, France.

Fabrice André (F)

1INSERM Unit 981, Molecular Predictors and New Targets in Oncology, Gustave Roussy, Villejuif.

Stefan Michiels (S)

1INSERM Unit 981, Molecular Predictors and New Targets in Oncology, Gustave Roussy, Villejuif.

Sarah Dauchy (S)

2Département de Soins de Support, Gustave Roussy, Villejuif.

Ines Vaz-Luis (I)

1INSERM Unit 981, Molecular Predictors and New Targets in Oncology, Gustave Roussy, Villejuif.

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