2020
DOI: 10.1016/j.jgo.2019.04.009
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Age-related cytokine effects on cancer-related fatigue and quality of life in acute myeloid leukemia

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Cited by 7 publications
(7 citation statements)
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“…However, others ( Agasi-Idenburg et al, 2017 ) found no age-related differences in the number and types of symptom clusters identified. In contrast, in a study that explored markers of inflammation ( Alibhai S. M. H. et al, 2020 ), larger associations were found between fatigue severity and plasma levels of 31 cytokines in older patients with leukemia.…”
Section: Introductionmentioning
confidence: 73%
“…However, others ( Agasi-Idenburg et al, 2017 ) found no age-related differences in the number and types of symptom clusters identified. In contrast, in a study that explored markers of inflammation ( Alibhai S. M. H. et al, 2020 ), larger associations were found between fatigue severity and plasma levels of 31 cytokines in older patients with leukemia.…”
Section: Introductionmentioning
confidence: 73%
“…This model posits that behavioral symptoms of illness, such as fatigue, may be determined by sickness-associated inflammation and cytokine activity [ 32 ]. However, a recent study of more than 200 patients with AML concluded that cytokines explained only a small amount of the variance in cancer-related fatigue [ 12 ]. In recent years, advances in the use of genomic sequencing have allowed researchers and clinicians to determine how specific molecular mutations relate to outcomes among patients with AML [ 33 ].…”
Section: Discussionmentioning
confidence: 99%
“…Given fatigue's prevalence and persistence, researchers have attempted to identify factors that predict fatigue in patients with AML, including sociodemographic characteristics, clinical characteristics 8 and biological factors (eg, proinflammatory cytokines). [9][10][11][12] However, previous studies have not distinguished patients with AML by NCCN risk categories, possibly due to small sample sizes limiting the statistical power to do so. Further characterisation of fatigue among subgroups of patients with AML using common clinical categorisations will provide important information about variations in the burden of fatigue in this patient population.…”
Section: Original Researchmentioning
confidence: 99%
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