ArticleFrontiers in medicine2025
Development and evaluation of a nomogram model for predicting malnutrition in patients with colorectal cancer.
Article in Frontiers in medicine, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.
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1 citing paper in PubMed.
- Pretreatment comprehensive nutritional index predicts survival in locally advanced rectal cancer after neoadjuvant chemoradiotherapy and surgery.Biomolecules & biomedicine · 2026Article
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Abstract
Background: Malnutrition is a common complication in patients with colorectal cancer (CRC), negatively impacting treatment outcomes and quality of life. Early identification of patients at risk of malnutrition can aid in timely interventions. The objective of this study was to develop and evaluate a nomogram model for predicting malnutrition in CRC patients. Methods: This retrospective study was conducted at our hospital from January 2022 to December 2024. Nutritional assessments were based on parameters such as body mass index (BMI), serum albumin (ALB), hemoglobin (HGB), prognostic nutritional index (PNI), and others. Univariate logistic regression analysis was initially performed to identify potential risk factors for malnutrition. Statistically significant factors ( Results: Multivariate analysis identified six independent predictors: age ≥65 years (OR = 2.216, 95% CI: 1.312-3.843, Conclusion: The nomogram model, incorporating six risk factors, offers a reliable and effective tool for predicting malnutrition in CRC patients. It provides clinicians with an important decision-making aid for early intervention and management of malnutrition.
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