Prediction model to predict critical weight loss in patients with head and neck cancer during (chemo)radiotherapy

Prediction model to predict critical weight loss in patients with head and neck cancer during (chemo)radiotherapy

Highlights • We developed a practical decision tree for critical weight loss during (C)RT. • Predictors were RT to the neck, higher RT dose, RT technique and younger age. • Weight decreased from the first week of radiotherapy. • Fifty percent of the 910 patients had critical weight loss during (C)RT...

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Veröffentlicht in:Oral oncology 2016-01, Vol.52, p.91-96
Hauptverfasser: Langius, Jacqueline A.E, Twisk, Jos, Kampman, Martine, Doornaert, Patricia, Kramer, Mark H.H, Weijs, Peter J.M, Leemans, C. René
Format: Artikel
Sprache:eng
Schlagworte:
Aged
Algorithms
Chemoradiotherapy
Combined Modality Therapy - adverse effects
Female
Head and neck cancer
Head and Neck Neoplasms - radiotherapy
Head and Neck Neoplasms - therapy
Hematology, Oncology and Palliative Medicine
Humans
Logistic Models
Male
Malnutrition
Middle Aged
Nutrition
Oral cancer
Otolaryngology
Radiation
Radiotherapy Dosage
Retrospective Studies
Risk Factors
Treatment Outcome
Weight loss
Weight Loss - physiology
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Zusammenfassung:Highlights • We developed a practical decision tree for critical weight loss during (C)RT. • Predictors were RT to the neck, higher RT dose, RT technique and younger age. • Weight decreased from the first week of radiotherapy. • Fifty percent of the 910 patients had critical weight loss during (C)RT.
ISSN:1368-8375
1879-0593
DOI:10.1016/j.oraloncology.2015.10.021