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Cited by in F6Publishing
For: Yang T, Wu Y, Zuo Y, Fu S, Xu Z, Yu N. Development and validation of prognostic nomograms and a web-based survival rate calculator for sarcomatoid renal cell carcinoma in pre- and post-treatment patients. Transl Androl Urol 2021;10:754-64. [PMID: 33718077 DOI: 10.21037/tau-20-1192] [Cited by in Crossref: 1] [Cited by in F6Publishing: 2] [Article Influence: 0.5] [Reference Citation Analysis]
Number Citing Articles
1 Shan L, Shao X, Gu L, Wu M, Lin P, Yu Z, Chen Q, Zhu D. Clinicopathologic factors linked to oncologic outcomes for renal cell carcinoma with sarcomatoid dedifferentiation: A PRISMA-compliant systematic review and meta-analysis. Front Surg 2022;9. [DOI: 10.3389/fsurg.2022.922150] [Reference Citation Analysis]
2 Li W, Wang G, Wu R, Dong S, Wang H, Xu C, Wang B, Li W, Hu Z, Chen Q, Yin C. Dynamic Predictive Models With Visualized Machine Learning for Assessing Chondrosarcoma Overall Survival. Front Oncol 2022;12:880305. [DOI: 10.3389/fonc.2022.880305] [Reference Citation Analysis]
3 Zheng H, Li Z, Li J, Zheng S, Zhao E. Construction, Validation, and Visualization of Two Web-Based Nomograms to Predict Overall and Cancer-Specific Survival in Patients with Gastric Cancer and Lung Metastases. J Oncol 2021;2021:5495267. [PMID: 34759968 DOI: 10.1155/2021/5495267] [Cited by in F6Publishing: 1] [Reference Citation Analysis]
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