Ontology highlight
ABSTRACT: Objective
This investigation seeks to examine how varying longitudinal patterns in nutritional inflammatory index (NII) correlate with clinical outcomes in cervical cancer patients, while developing predictive models for prognosis.Methods
We retrospectively analyzed 502 surgically treated cervical cancer cases, incorporating comprehensive clinical parameters, laboratory measurements, and longitudinal follow-up data. Three NII components-advanced lung cancer inflammation index (ALI), neutrophil-albumin ratio (NAR), and prognostic nutritional index (PNI)-were evaluated for their temporal dynamics and relationships with overall survival (OS) and progression-free survival (PFS). Machine learning techniques identified critical predictors for constructing nomograms estimating 3-,
SUBMITTER: Xing W
PROVIDER: S-EPMC12628993 | biostudies-literature | 2025 Nov
REPOSITORIES: biostudies-literature