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The LMR-SSIGN-MAPS model predicts disease-free survival in patients with localized clear cell renal cell carcinoma
INTRODUCTION: Prediction models are increasingly being used to predict outcomes after surgery, and such a model would be a precious tool for patients with clear cell renal cell carcinoma (ccRCC) after surgery. AIM: To develop a comprehensive model for predicting disease-free survival (DFS) in patien...
Autores principales: | Wen, Hongzhuang, Zhang, Yong, Yang, Zhan, Zhai, Zhao, Han, Zhenwei, Wang, Hu, Wang, Mingshuai, Shi, Hongzhe, Chen, Xi, Wahafu, Wasilijiang, Guan, Kaopeng, Wang, Xiaolu |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Termedia Publishing House
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10481436/ https://www.ncbi.nlm.nih.gov/pubmed/37680736 http://dx.doi.org/10.5114/wiitm.2022.123455 |
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