The novel dynamic nomogram and risk classification system constructed for predicting post-surgical overall survival and mortality risk in primary chondrosarcoma: a population study based on SEER database
Author:
Publisher
Springer Science and Business Media LLC
Subject
Cancer Research,Oncology,General Medicine
Link
https://link.springer.com/content/pdf/10.1007/s00432-023-05143-w.pdf
Reference45 articles.
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2. Amer KM, Munn M, Congiusta D, Abraham JA, Mallick AB (2020) Survival and prognosis of chondrosarcoma subtypes: SEER database analysis. J Orthop Res 38(2):311–319. https://doi.org/10.1002/jor.24463
3. Andreou D, Ruppin S, Fehlberg S, Pink D, Werner M, Tunn P-U (2011) Survival and prognostic factors in chondrosarcoma results in 115 patients with long-term follow-up. Acta Orthop 82(6):749–755. https://doi.org/10.3109/17453674.2011.636668
4. Aran V, Devalle S, Meohas W, Heringer M, Caruso AC, Aguiar DP, Neto VM (2021) Osteosarcoma, chondrosarcoma and Ewing sarcoma: clinical aspects, biomarker discovery and liquid biopsy. Crit Rev Oncol Hematol. https://doi.org/10.1016/j.critrevonc.2021.103340
5. Arshi A, Sharim J, Park DY, Park HY, Bernthal NM, Yazdanshenas H, Shamie AN (2017) Chondrosarcoma of the osseous spine an analysis of epidemiology, patient outcomes, and prognostic factors using the SEER registry from 1973 to 2012. Spine (phila Pa 1976) 42(9):644–652. https://doi.org/10.1097/brs.0000000000001870
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1. Novel machine‐learning prediction tools for overall survival of patients with chondrosarcoma: Based on recursive partitioning analysis;Cancer Medicine;2024-08
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