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...

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Detalles Bibliográficos
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
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Termedia Publishing House 2022
Materias:
Original Paper
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

Internet

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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