Ontology highlight
ABSTRACT: Background
Chemotherapy-induced adverse effects (CIAEs) remain a challenging problem due to their high incidences and negative impacts on treatment in Chinese colorectal cancer (CRC) patients. We aimed to identify risk factors and predictive markers for CIAEs using food/nutrition data in CRC patients receiving post-operative capecitabine-based chemotherapy.Methods
Food/nutrition data from 130 Chinese CRC patients were analyzed. Univariate and multivariate analyses were used to identify CIAE-related food/nutrition factors. Prediction models were constructed based on the combination of these factors. The area under the receiver operating characteristic curve (AUROC) was used to evaluate the discrimination ability of models.Results
A total of 20 food/nutrition factors
SUBMITTER: Xu J
PROVIDER: S-EPMC9189551 | biostudies-literature | 2022 Jan-Dec
REPOSITORIES: biostudies-literature