ArticleSupportive care in cancer : official journal of the Multinational Association of Supportive Care in Cancer2024
Risk factors and the nomogram model for malnutrition in patients with nasopharyngeal carcinoma.
Article in Supportive care in cancer : official journal of the Multinational Association of Supportive Care in Cancer, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers, 2 of them syntheses that pooled it.
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Who cites it
5 citing papers in PubMed, 2 syntheses or guidelines pooled it, 4 citations in OpenAlex.
- Risk prediction models for malnutrition in patients with cancer: a systematic review.Frontiers in nutrition · 2026Pooled it
- Prevalence of malnutrition and nutritional risk, and associated factors in adults with head and neck cancer: a systematic review and meta-analysis.Frontiers in oncology · 2026Pooled it
- Developing personas for nutritional self-management in nasopharyngeal carcinoma patients: a qualitative study based on the Fogg Behavior Model.Frontiers in nutrition · 2026Article
- A dynamic online nomogram for predicting nutritional risk in nasopharyngeal carcinoma patients after radiotherapy.Supportive care in cancer : official journal of the Multinational Association of Supportive Care in Cancer · 2025Article
- Hematological Malignancies in Older Patients: Focus on the Potential Role of a Geriatric Assessment Management.Diagnostics (Basel, Switzerland) · 2024Review
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Authors and funding
7 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundFor patients with nasopharyngeal carcinoma (NPC), the incidence of malnutrition is quite high, and malnutrition has severe effects on NPC patients. However, there is currently no recognized gold standard or specific nutritional assessment tool available to assess malnutrition in NPC patients. Our objective was to develop and verify a new nomogram model for NPC patients.
methodsData were collected from NPC patients. To evaluate risk factors for malnutrition, univariate and multivariate logistic regression analyses were used. Based on the risk factors, a new nomogram model was developed. The efficacy of the model was evaluated and validated.
resultsLogistic regression analysis showed that age ≥ 65 years, the number of chemotherapy cycles completed ≥ 1, a high total radiation dose received, low body mass index (BMI), low albumin, and low chloride were the risk factors. The assessment effect of the new model was good by evaluation and validation; it can be used as an assessment tool for malnutrition in NPC patients.
conclusionsAge ≥ 65 years, completing ≥ 1 chemotherapy cycles, a high total radiation dose received, low BMI, low albumin, and low chloride levels are risk factors for malnutrition in NPC patients. The assessment effect of the new model, developed based on these risk factors, is good, and it can be used as an assessment tool for malnutrition in NPC patients.
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