A Creatinine–CAR Composite Index (CCAR) Optimized by Machine Learning for Prognosis in Cancer Cachexia

The CCAR index provides a robust, easily accessible tool for predicting survival outcomes in cancer cachexia patients. The web-based CCAR calculator demonstrates significant clinical applicability and improves patient risk stratification, offering potential for guiding early interventions and personalized treatment strategies in clinical settings.

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Publication Details

Journal
Journal of Cachexia Sarcopenia and Muscle
Published
2025-11-11
DOI
https://doi.org/10.1002/jcsm.70120
Primary Topic
Nutrition and Health in Aging
Type
article
Field-Weighted Citation Impact
0.00

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article

A Creatinine–CAR Composite Index (CCAR) Optimized by Machine Learning for Prognosis in Cancer Cachexia

Guo‐Tian Ruan, Jinyu Shi, Shengtao Zhu, Shutian Zhang et al.
Journal of Cachexia Sarcopenia and Muscle
Nutrition and Health in Aging
article

A Creatinine–CAR Composite Index (CCAR) Optimized by Machine Learning for Prognosis in Cancer Cachexia

Guo‐Tian Ruan, Jinyu Shi, Shengtao Zhu, Shutian Zhang, Q. Chen, Hanping Shi, Heyang Zhang, Chenan Liu, Chong Li, Wenjing Wang, Peng Li
article en

Abstract

The CCAR index provides a robust, easily accessible tool for predicting survival outcomes in cancer cachexia patients. The web-based CCAR calculator demonstrates significant clinical applicability and improves patient risk stratification, offering potential for guiding early interventions and personalized treatment strategies in clinical settings.

Journal of Cachexia Sarcopenia and MuscleVol. 16(6)
Capital Medical University (CN), Anhui Medical University (CN), National Clinical Research Center for Digestive Diseases (CN), The Affiliated Yongchuan Hospital of Chongqing Medical University (CN), Beijing Friendship Hospital (CN), Chongqing Dazu District People's Hospital (CN), Chongqing Medical University (CN)
National Natural Science Foundation of China, National Key Research and Development Program of China
Openalex Percentile: Top 58%
Nutrition and Health in Aging
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