BackgroundTreatment strategies for childhood cancer are improving, resulting in higher survival rates. However, the consequences of childhood cancer do not end with the successful completion of cancer treatment. Most patients will develop late e ects a er cessation of treatment. Severe fatigue is seen as a common and debilitating late e ect in cancer survivors. Although most research on fatigue has been performed in patients a er adult-onset cancer, our review focuses on fatigue a er childhood cancer. ObjectivesTo estimate the prevalence of severe fatigue a er treatment for childhood cancer. Secondary objectives are to describe the course of severe fatigue following cancer treatment and to examine risk factors for fatigue, or factors associated with it.Severe fatigue a er treatment for childhood cancer (Review)

Background Cancer‐related fatigue is a debilitating late effect after treatment for childhood cancer. The prevalence of fatigue in childhood cancer survivors (CCSs) and associated factors for fatigue has varied widely in previous studies. Two important aspects of cancer‐related fatigue, its severity and chronicity, are often not assessed. This study investigated the prevalence of, and risk factors for, severe chronic fatigue (CF) in a national cohort of Dutch CCSs. Methods In this study, 2810 CCSs (5‐year survivors of all childhood malignancies diagnosed between 1963 and 2001 with a current age of 12‐65 years) and 1040 sibling controls were included. CF was assessed with the Short Fatigue Questionnaire and was defined as a score ≥ 18 and persistence of fatigue for ≥6 months. Cancer‐ and treatment‐related characteristics, current health problems, and demographic and lifestyle variables were assessed as potential risk factors for CF via multivariable logistic regression analyses. Results In adult CCSs and sibling controls (≥18 years old), the prevalence of CF was 26.1% and 14.1%, respectively (P < .001). In adolescent CCSs and sibling controls (<18 years old), the prevalence of CF was 10.9% and 3.2%, respectively. Female gender (odds ratio [OR], 2.13; 95% confidence interval [CI], 1.73‐2.62), unemployment (OR, 2.18; 95% CI, 1.67‐2.85), having 1 or more health problems (OR for 1‐2, 1.48; 95% CI, 1.18‐1.87; OR for >2, 2.20; 95% CI, 1.50‐3.21), and a central nervous system diagnosis (OR, 1.74; 95% CI, 1.17‐2.60) were significantly associated with CF in adult CCSs. Conclusions This study shows that CCSs, regardless of their cancer diagnosis, report CF more often than sibling controls. This study provides new evidence for the prevalence of fatigue in CCSs.

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Background A debilitating late effect for childhood cancer survivors (CCS) is cancer-related fatigue (CRF). Little is known about the prevalence and risk factors of fatigue in this population. Here we describe the methodology of the Dutch Childhood Cancer Survivor Late Effect Study on fatigue (DCCSS LATER fatigue study). The aim of the DCCSS LATER fatigue study is to examine the prevalence of and factors associated with CRF, proposing a model which discerns predisposing, triggering, maintaining and moderating factors. Triggering factors are related to the cancer diagnosis and treatment during childhood and are thought to trigger fatigue symptoms. Maintaining factors are daily life- and psychosocial factors which may perpetuate fatigue once triggered. Moderating factors might influence the way fatigue symptoms express in individuals. Predisposing factors already existed before the diagnosis, such as genetic factors, and are thought to increase the vulnerability to develop fatigue. Methodology of the participant inclusion, data collection and planned analyses of the DCCSS LATER fatigue study are presented. Results Data of 1955 CCS and 455 siblings was collected. Analysis of the data is planned and we aim to start reporting the first results in 2022. Conclusion The DCCSS LATER fatigue study will provide information on the epidemiology of CRF and investigate the role of a broad range of associated factors in CCS. Insight in associated factors for fatigue in survivors experiencing severe and persistent fatigue may help identify individuals at risk for developing CRF and may aid in the development of interventions.