Related Experiment Video
Updated: Aug 19, 2025

The Colon-26 Carcinoma Tumor-bearing Mouse as a Model for the Study of Cancer Cachexia
Published on: November 30, 2016
Cachexia staging score predicts survival in patients with cancer who receive palliative care
Junko Ueshima1, Keisuke Maeda2, Akio Shimizu3
1Department of Nutrition Service, NTT Medical Center Tokyo, Tokyo, Japan; Palliative and Supportive Medicine, Graduate School of Medicine, Aichi Medical University, Aichi, Japan.
Objective:
The aim of this study was to validate the cachexia staging score (CSS), a multidimensional, item-based diagnostic method of cachexia severity, for patients with advanced cancer receiving palliative care.
Methods:
Eligible patients were those with cancer who received palliative care during hospitalization between May 2019 and April 2020. All data were collected retrospectively from medical records. Cachexia was graded into four levels according to the CSS. Kaplan-Meier curves were constructed with or without death as the outcome, comparing prognoses among different levels of cachexia with Bonferroni correction. Cox proportional hazards regression analysis was performed to identify factors affecting mortality.
Results:
The mean age of the 196 patients was 65.8 ± 14 y. Men made up 42% of the study population. Lower body mass index, increased rate of weight loss, increased strength, assistance walking, rising from a chair, climbing stairs, and falls (SARC-F) points, decline in activities of daily living, appetite loss, and abnormal blood biomarkers were significantly more common with increasing severity of cachexia, and survival was shorter (P < 0.001). The hazard ratio (HR) increased with worsening severity of cachexia according to CSS classification (precachexia: HR, 2.78; 95% confidence interval [CI], 0.62-12.46, P = 0.182; cachexia: HR, 4.77; 95% CI, 1.09-20.80; P = 0.038; and refractory cachexia: HR, 11.00; 95% CI, 2.37-51.07; P = 0.002).
Conclusions:
The CSS predicted life expectancy in a population of patients receiving palliative care and had excellent prognostic discriminative power to classify patients at different stages of cachexia.
More Related Videos
06:46Competing-Risk Nomogram for Predicting Cancer-Specific Survival in Multiple Primary Colorectal Cancer Patients after Surgery
Published on: September 27, 2024
07:13Comparison of Predictive Performance of Three Lymph Node Staging Systems in Colorectal Signet Ring Cell Carcinoma Based on Machine Learning Model
Published on: April 18, 2025
Related Concept Videos
Cancer Survival Analysis
Comparing the Survival Analysis of Two or More Groups
Kaplan-Meier Approach
Assumptions of Survival Analysis