Risk prediction models for malnutrition in cancer patients: a systematic review and meta-analysis.

ABSTRACT:

Background

Although numerous models have been developed in recent years to predict malnutrition in cancer patients, their methodological rigor and clinical applicability remain uncertain. The lack of systematic evaluation hampers their integration into routine oncology and nursing practice, where early identification of at-risk patients is crucial for optimizing nutritional interventions, enhancing treatment tolerance, and reducing morbidity and mortality.

Objective

This systematic review aims to synthesize and critically evaluate existing risk prediction models for malnutrition in cancer patients, thereby providing evidence-based insights to inform model development and clinical implementation.

Methods

Databases including PubMed, Embase, Web of Science, the Cochrane

SUBMITTER: Yu J 

PROVIDER: S-EPMC12740756 | biostudies-literature | 2025

REPOSITORIES: biostudies-literature