Exercise in cancer patients: assistance levels and referral pathways-a position statement from the Spanish Society of Medical Oncology.
Blanca Herrero LópezAna Cardeña GutiérrezAna Godoy-OrtizAna Gonzaga LópezAna María Grueso LópezAna Nuño AlvesPatricia Ramírez DaffósCesar A RodriguezRodriguez-Perez ArVíctor Sacristán SantosSalvador Saura GrauSebio-García RaquelMiguel Ángel Seguí PalmerPublished in: Clinical & translational oncology : official publication of the Federation of Spanish Oncology Societies and of the National Cancer Institute of Mexico (2024)
There is growing evidence about how physical activity can improve cancer care. Unfortunately, exercise is still not widely prescribed to oncology patients, despite the benefit it brings. For this to occur, it is necessary for a multidisciplinary approach involving different types of healthcare professionals, given that each treatment be tailored for each single case. Besides incorporating appropriate infrastructures and referral pathways, we need to integrate exercise into healthcare practice, which ameliorates patients' quality of life and treatment side effects. From the Spanish Society of Medical Oncology (SEOM), and through the Exercise and Cancer Working Group, we indicate considerations, analyze patient care scenarios, and propose a referral pathway algorithm for exercise prescription, taking in account the patient's needs. In later sections of this paper, we describe how this algorithm could be implemented, and how the exercise programs should be built, including the physical activity contents, the settings, and the delivery mode. We conclude that professionals, infrastructures, and organizations should be available at every assistance level to create programs providing adequate exercise training for cancer patients.
Keyphrases
- physical activity
- healthcare
- high intensity
- end stage renal disease
- primary care
- resistance training
- ejection fraction
- newly diagnosed
- palliative care
- chronic kidney disease
- machine learning
- public health
- body mass index
- deep learning
- prognostic factors
- climate change
- squamous cell carcinoma
- case report
- social media
- smoking cessation
- papillary thyroid
- replacement therapy
- squamous cell