Observational studyCancer medicine2024
Could nutrition status predict fatigue one week before in patients with nasopharynx cancer undergoing radiotherapy?
Observational study in Cancer medicine, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.
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Who cites it
3 citing papers in PubMed.
- Network analysis of symptom clusters and core symptom changes in nasopharyngeal cancer survivors: a longitudinal study.Journal of cancer survivorship : research and practice · 2026Article
- Identification of distinct fatigue trajectories in patients with nasopharyngeal carcinoma undergoing radiotherapy: an observational longitudinal study.Supportive care in cancer : official journal of the Multinational Association of Supportive Care in Cancer · 2025Observational
- Could nutrition status predict fatigue one week before in patients with nasopharynx cancer undergoing radiotherapy?Cancer medicine · 2024Observational
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Authors and funding
13 authors.
Funding
Abstract
backgroundPatients with nasopharyngeal carcinoma (NPC) undergoing radiotherapy experience significant fatigue, which is frequently underestimated due to the lack of objective indicators for its evaluation. This study aimed to explore the longitudinal association between fatigue and nutrition status 1 week in advance.
methodsFrom January 2021 to June 2022, a total of 105 NPC patients who received intensity-modulated radiation therapy were enrolled in the observational longitudinal study. The significant outcomes, including the Piper Fatigue Scale-12 (PFS-12), the Scored Patient-Generated Subjective Global Assessment (PG-SGA), four body composition indices, and the Hospital Anxiety and Depression Scale (HADS), were assessed weekly from pre-treatment until the completion of radiotherapy (T0-T7) to explore their relationship.
resultsThe trajectories of PFS-12 and all dimensions for 105 participants reached a peak during the fifth week. Sensory fatigue consistently received the highest scores (T0 = 1.60 ± 2.20, T5 = 6.15 ± 1.57), whereas behavior fatigue exhibited the fastest increase over time (T0 = 1.11 ± 1.86, T5 = 5.47 ± 1.70). Higher PG-SGA scores were found to be weakly explainable for aggravating fatigue (β = 0.02 ~ 0.04). Unlike generalized additive mixed models, marginal structural models (MSM) produced larger effect values (β = 0.12 ~ 0.21). Additionally, body composition indices showed weakly negative relationships with fatigue in MSMs one week in advance.
conclusionsThe PG-SGA may be a more accurate predictor of future-week fatigue than individual body composition indicators, particularly when HADS is controlled for as a time-dependent confounder.
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