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Prediction of Long-term Survival and Chemotherapy Benefit in Elderly Advanced Gastric Cancer Patients Based on the mCNS Model of Nutritional Control State Score and Sarcopenia.
Authors not listed
Chang-Ming Huang, Prof. · 2024
Abstract
This study aims to develop and validate a Nomogram (mCNS) model for predicting long-term survival in elderly patients following curative resection for advanced gastric cancer. The study is a retrospective multi-center analysis involving 924 gastric cancer patients treated at the Department of Gastrointestinal Surgery of the Affiliated Union Hospital of Fujian Medical University between 2009 and 2013, and 512 patients aged 65 and above who underwent gastric resection at the Affiliated Zhongshan Hospital of Dalian University between 2011 and 2018. An online prognostic tool is introduced to assist clinicians in predicting patient prognosis and customizing treatment and follow-up strategies.
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- 2026-10-18 MST
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APA
Anonymous. (2024). Prediction of Long-term Survival and Chemotherapy Benefit in Elderly Advanced Gastric Cancer Patients Based on the mCNS Model of Nutritional Control State Score and Sarcopenia. <em>Chang-Ming Huang, Prof.</em>. https://clinicaltrials.gov/study/NCT06467591
Vancouver
Anonymous. Prediction of Long-term Survival and Chemotherapy Benefit in Elderly Advanced Gastric Cancer Patients Based on the mCNS Model of Nutritional Control State Score and Sarcopenia. Chang-Ming Huang, Prof.. 2024.
BibTeX
@misc{anon2024Predic,
title = {Prediction of Long-term Survival and Chemotherapy Benefit in Elderly Advanced Gastric Cancer Patients Based on the mCNS Model of Nutritional Control State Score and Sarcopenia.},
author = {Anonymous},
journal = {Chang-Ming Huang, Prof.},
year = {2024},
}
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