Ontology highlight
ABSTRACT: Objective
Metabolic disorders are common in cancer patients. This study aimed to classify the metabolic disorder status of cancer patients using hematological indicators and to examine the association between disorder types and prognosis.Methods
A cohort of 6307 patients from INSCOC was classified into three clusters via K-means clustering based on hematological indicators. Logistic regression and Cox models assessed each cluster's impact on adverse outcomes.Results
A total of 6,307 participants were included in the study, K-means clustering divided the population into three groups, Cluster 1 (Normal Group, NG), Cluster 2 (Mild Disorder Group, MDG) and Cluster 3 (Severe Disorder Group, SDG). Compared to NG, MDG (OR = 2.268; 95% CI: 1.967-2.616) and SDG (OR = 4.317;
SUBMITTER: Li Y
PROVIDER: S-EPMC11834268 | biostudies-literature | 2025 Feb
REPOSITORIES: biostudies-literature