Nitte Usha Institute of Nursing Sciences, Nitte University, Mangalore, Karnataka, India.
Department of Radiation Oncology, All India Institute of Medical Science (AIIMS), Patna, Bihar, India.
J Palliat Care. 2023 Oct;38(4):432-455. doi: 10.1177/08258597221131133. Epub 2022 Oct 17.
This systematic review aims to assess and explore various determinants of cancer- related fatigue. A systematic search of various determinants of Cancer-related fatigue (CRF) was performed in different databases like PubMed, Google Scholar, Science Direct and Clinical Key dating from 1990 to September 2020. A total of 6115 studies were screened and 95 articles related to determinants of fatigue were retained. Various modifiable and non-modifiable determinants including socio-demographic, clinical, treatment related, plasma biomarker related, genetic, behavioural, concurrent symptoms related and psychological determinants were identified. Depression was one of the significant factors reported in 28% of studies, followed by pain, (17%), performance status (16%), chemotherapy and anxiety (15%). It is recommended that nurses and clinicians should anticipate, identify and take appropriate interventions to manage those modifiable factors. Ultimately, managing the modifiable factors helps in the comprehensive care of cancer patients.
本系统评价旨在评估和探讨与癌症相关疲劳的各种决定因素。从 1990 年到 2020 年 9 月,我们在 PubMed、Google Scholar、Science Direct 和 Clinical Key 等不同数据库中对癌症相关疲劳(CRF)的各种决定因素进行了系统搜索。共筛选了 6115 项研究,保留了 95 篇与疲劳决定因素相关的文章。确定了各种可改变和不可改变的决定因素,包括社会人口统计学、临床、治疗相关、血浆生物标志物相关、遗传、行为、同时存在的症状相关和心理决定因素。报告的 28%的研究中抑郁是一个重要因素,其次是疼痛(17%)、身体状况(16%)、化疗和焦虑(15%)。建议护士和临床医生应预测、识别并采取适当的干预措施来管理这些可改变的因素。最终,管理这些可改变的因素有助于癌症患者的全面护理。