Risk stratification using a nomogram model for postoperative cancer-related fatigue in elderly survivors following early-stage non-small cell lung cancer resection.

ABSTRACT:

Purpose

To develop and validate a risk stratification model for severe postoperative cancer-related fatigue (CRF) in elderly survivors following early-stage non-small cell lung cancer (NSCLC) resection.

Methods

Elderly survivors (age ≥ 70 years) following NSCLC surgery were recruited from two tertiary medical centers in Shenyang. Data collected from medical records and self-reported questionnaires were divided into training and validation sets (7:3 ratio). Risk factors were selected utilizing the least absolute shrinkage and selection operator (LASSO) and multivariable logistic regression analysis, and were subsequently integrated into a nomogram. Model performance was assessed using area under the curve (AUC), calibration curves with the Hosmer-Lemeshow (HL) test, decision

SUBMITTER: Cai Y 

PROVIDER: S-EPMC12801610 | biostudies-literature | 2025 Dec

REPOSITORIES: biostudies-literature