ArticleFrontiers in nutrition2024
Prognostic value of bioelectrical impedance analysis in head and neck cancer patients undergoing radiotherapy: a VALOR® study.
Article in Frontiers in nutrition, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT07676032 (The Impact of Body Composition on Setup Errors in Patients Undergoing Radiotherapy With Thermoplastic Mask Immobilization), which is not on this map. Cited by 13 papers.
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The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
The Impact of Body Composition on Setup Errors in Patients Undergoing Radiotherapy With Thermoplastic Mask Immobilization: A Single-Center Prospective Cohort Study
Who cites it
13 citing papers in PubMed.
- Article
- Towards Rapid Bedside Detection of Sarcopenia in Cancer Patients: The Role of Rectus Femoris Muscle Ultrasonography-A Prospective Cross-Sectional Study.Medicina (Kaunas, Lithuania) · 2026Article
- Nutrition meets nephrology in head and neck cancer: the predictive impact of body composition on the onset of acute kidney disease.Frontiers in oncology · 2026Article
- Clinical and prognostic value of dynapenia in patients with head and neck cancer: a multicenter cohort study. VALOR group.Frontiers in nutrition · 2026Article
- Nutritional status and weight trajectories during radiotherapy in patients with cancer: a retrospective cohort study.Frontiers in nutrition · 2026Article
- Body Composition and Eating Habits in Newly Diagnosed Graves' Disease Patients Compared with Euthyroid Controls.Nutrients · 2025Article
- Dynamic Nutrition Strategies for Anorexia Nervosa: Marker-Based Integration of Calories and Proteins.Nutrients · 2025Observational
- Assessment of bioelectrical impedance analysis devices for data reliability of body impedance measurements.Frontiers in nutrition · 2025Article
- Predictive Factors of the Degrees of Malnutrition According to GLIM Criteria in Head and Neck Cancer Patients: Valor Group.Cancers · 2024Article
- Improving the nutritional evaluation in head neck cancer patients using bioelectrical impedance analysis: Not only the phase angle matters.Journal of cachexia, sarcopenia and muscle · 2024Observational
- Multiparametric Approach to the Colorectal Cancer Phenotypes Integrating Morphofunctional Assessment and Computer Tomography.Cancers · 2024Article
- Bioelectrical Impedance Vector Analysis, Nutritional UltrasoundNutrients · 2024Article
- Rectus femoris cross sectional area and timed up and go test potential useful of as a predictor of sarcopenia and mortality in idiopathic pulmonary fibrosis.Frontiers in nutrition · 2024Article
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Authors and funding
16 authors.
Funding
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Abstract
Introduction: Bioelectrical impedance analysis (BIA) serves as a method to estimate body composition. Parameters such as phase angle (PA), standardized phase angle (SPA), body mass cell (BCM), BCM index (BCMI), and fat-free mass (FFM) might significantly impact the prognosis of head and neck cancer (HNC) patients. The present study aimed to investigate whether bioelectrical parameters can be used to predict survival in the HNC population and establish the optimal cutoff points for predictive accuracy. Methods: A multicenter observational study was performed across 12 tertiary hospitals in Andalusia (a region from the south of Spain). A total of 494 patients diagnosed with HNC between 2020 and 2022 at different stages were included in this study, with a minimum follow-up period of 12 months. The BIA assessment was carried out during the first 2 weeks of radical radiotherapy treatment with chemotherapy or other systemic treatments. A multivariate logistic regression analysis of overall survival, complications, hospital admission, and palliative care and its relationship with BIA nutritional assessment was performed. Results: Significant prognostic factors identified in the multivariable analysis encompassed phase angle (PA), standardized phase angle (SPA), body cell mass (BCM), and BCM index (BCMI). Lower PA and BCM values were significantly associated with adverse clinical outcomes. A BCM threshold above 17 kg/m Conclusion: BIA is a crucial tool in the nutritional assessment of HNC patients. BCM and PA are the main bioelectrical parameters used to predict clinical outcomes in this population. Future studies are needed to validate BIA variables in a large cohort to ensure whether early intensification of nutritional treatment would improve survival.
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