A novel clinical nomogram for predicting cancer-specific survival in patients with non-serous epithelial ovarian cancer: A real-world analysis based on the Surveillance, Epidemiology, and End Results database and external validation in a tertiary center

MLA

Hui Zheng, et al. “A Novel Clinical Nomogram for Predicting Cancer-Specific Survival in Patients with Non-Serous Epithelial Ovarian Cancer: A Real-World Analysis Based on the Surveillance, Epidemiology, and End Results Database and External Validation in a Tertiary Center.” Translational Oncology, vol. 42, no. 101898-, Apr. 2024. EBSCOhost, https://doi.org/10.1016/j.tranon.2024.101898.

APA

Hui Zheng, Jingjing Chen, Jimiao Huang, Huan Yi, Shaoyu Zhang, & Xiangqin Zheng. (2024). A novel clinical nomogram for predicting cancer-specific survival in patients with non-serous epithelial ovarian cancer: A real-world analysis based on the Surveillance, Epidemiology, and End Results database and external validation in a tertiary center. Translational Oncology, 42(101898-). https://doi.org/10.1016/j.tranon.2024.101898

Chicago

Hui Zheng, Jingjing Chen, Jimiao Huang, Huan Yi, Shaoyu Zhang, and Xiangqin Zheng. 2024. “A Novel Clinical Nomogram for Predicting Cancer-Specific Survival in Patients with Non-Serous Epithelial Ovarian Cancer: A Real-World Analysis Based on the Surveillance, Epidemiology, and End Results Database and External Validation in a Tertiary Center.” Translational Oncology 42 (101898-). doi:10.1016/j.tranon.2024.101898.