Development and validation of a prognostic prediction model for elderly gastric cancer patients based on oxidative stress biochemical markers

Development and validation of a prognostic prediction model for elderly gastric cancer patients based on oxidative stress biochemical markers

Abstract Background The potential of the application of artificial intelligence and biochemical markers of oxidative stress to predict the prognosis of older patients with gastric cancer (GC) remains unclear. Methods This retrospective multicenter study included consecutive patients with GC aged ≥ 6...

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Main Authors: Xing-Qi Zhang, Ze-Ning Huang, Ju Wu, Chang-Yue Zheng, Xiao-Dong Liu, Ying-Qi Huang, Qi-Yue Chen, Ping Li, Jian-Wei Xie, Chao-Hui Zheng, Jian-Xian Lin, Yan-Bing Zhou, Chang-Ming Huang
Format: Article
Language:English
Published: BMC 2025-02-01
Series:BMC Cancer
Subjects:
Elderly
Gastric cancer
Oxidative stress
Machine learning
Overall survival
Online Access:https://doi.org/10.1186/s12885-025-13545-x
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https://doi.org/10.1186/s12885-025-13545-x

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