Quelles interventions non médicamenteuses proposer aux patients traités par hormono-suppression pour un cancer de la prostate ? Revue systématique de la littérature

M. Cecchi, G. Ninot,X. Rebillard,R. Thuret, S. Droupy, D. Ayuso,G. Poinas

Progrès en Urologie(2023)

引用 0|浏览2
暂无评分
摘要
Prostate cancer is a frequent disease and one of the main treatments used is androgen deprivation therapy, which is a therapy with disabling side effects. Non-pharmacological interventions (NPIs) are evidenced based, non-invasive interventions on human health. They are classified into five categories (physical, psychological, nutritional, digital, elemental). The NPIs sphere is booming and still remains underused in this context.A systematic review concerning randomized controlled trials was executed according to the PRISMA guidelines (Preferred Reporting Items for Systematic Reviews and Meta-Analyses). We used the "Medline" and "Kalya Research" databases. After searching and selecting eligible publications, we included 37 randomized controlled trials.The majority of articles concerned physical NPIs with 30 clinical studies, 3 publications dealt with nutritional NPIs, 2 with psychological NPIs and 2 articles concerned elemental NPIs. No publication about digital NPI was found. All of the studies aimed to manage and improve the side effects of treatment. No elemental NPI has demonstrated benefit. Only one psychological NPI and one nutritional NPI were effective. Five types of physical NPI protocols have shown efficacy. The main benefits related to physical abilities, body composition, osteoporosis, quality of life, fatigue, reduced cardiovascular risk and finally anxiety and depression.Non-pharmacological interventions, especially physical ones, are effective in managing and reducing the side effects associated with androgen deprivation therapy and should be offered to patients in this context.
更多
查看译文
关键词
Cancer de prostate,Hormonothérapie,Suppression androgénique,Intervention non médicamenteuse,INM,Activité physique,Santé intégrative
AI 理解论文
溯源树
样例
生成溯源树,研究论文发展脉络
Chat Paper
正在生成论文摘要