Construction of a Tool to Predict Overall Survival of Patients With Primary Spinal Tumors After Surgical Resection: A Real-World Analysis Based on the Surveillance, Epidemiology, and End Results Database.
机构：[1]Department of Orthopedics, Orthopedic Research Institute, West China Hospital, 12530Sichuan University, Chengdu, Sichuan, China.四川大学华西医院[2]Department of Orthopedics, 74569China-Japan Union Hospital of Jilin University, Jilin, China.吉林大学中日联谊医院
We aim to construct a practical clinical prediction model to accurately evaluate the overall survival (OS) of patients with primary spinal tumors after primary tumor resection, thereby aiding clinical decision-making.A total of 695 patients diagnosed with a primary spinal tumor, selected from the Surveillance, Epidemiology, and End Results (SEER) database, were included in this study. The Cox regression algorithm was applied to the training cohort to build the prognostic nomogram model. The nomogram's performance in terms of discrimination, calibration, and clinical usefulness was also assessed in the internal SEER validation cohort. The fitted prognostic nomogram was then used to create a web-based calculator.Four independent prognostic factors were identified to establish a nomogram model for patients with primary spinal tumors who had undergone surgical resection. The C-index (.757 for the training cohort and .681 for the validation cohort) and the area under the curve values over time (both >.68) showed that the model exhibited satisfactory discrimination in both the SEER cohort. The calibration curve revealed that the projected and actual survival rates are very similar. The decision curve analysis also revealed that the model is clinically valuable and capable of identifying high-risk patients.After developing a nomogram and a web-based calculator, we were able to reliably forecast the postoperative OS of patients with primary spinal tumors. These tools are expected to play an important role in clinical practice, informing clinicians in making decisions about patient care after surgery.
基金：
The author(s) disclosed receipt of the following financial support for
the research, authorship, and/or publication of this article: This work
was supported by, China, Sichuan Science and Technology Program
(2020YFS0080, 2020YFQ0007,2021JDRC0159), Science and
Technology Project of Tibet Autonomous Region (XZ201901-GB-
08), The National Natural Science Foundation of China (81171731),
and the 135 project for disciplines of excellence, West China
Hospital, Sichuan University (ZYJC21026, ZYJC21077).
语种：
外文
PubmedID：
中科院(CAS)分区：
出版当年[2022]版：
大类|4 区医学
小类|4 区临床神经病学4 区骨科
最新[2023]版：
大类|3 区医学
小类|4 区临床神经病学4 区骨科
第一作者：
第一作者机构：[1]Department of Orthopedics, Orthopedic Research Institute, West China Hospital, 12530Sichuan University, Chengdu, Sichuan, China.
通讯作者：
通讯机构：[1]Department of Orthopedics, Orthopedic Research Institute, West China Hospital, 12530Sichuan University, Chengdu, Sichuan, China.[*1]Department of Orthopedics, Orthopedic Research Institute, West China Hospital, Sichuan University, No.37 Guo Xue Lane, Chengdu, Sichuan 610041, China
推荐引用方式(GB/T 7714)：
Huang Zhangheng,Tong Yuexin,Kong Qingquan.Construction of a Tool to Predict Overall Survival of Patients With Primary Spinal Tumors After Surgical Resection: A Real-World Analysis Based on the Surveillance, Epidemiology, and End Results Database.[J].Global spine journal.2022,21925682221086539.doi:10.1177/21925682221086539.
APA：
Huang Zhangheng,Tong Yuexin&Kong Qingquan.(2022).Construction of a Tool to Predict Overall Survival of Patients With Primary Spinal Tumors After Surgical Resection: A Real-World Analysis Based on the Surveillance, Epidemiology, and End Results Database..Global spine journal,,
MLA：
Huang Zhangheng,et al."Construction of a Tool to Predict Overall Survival of Patients With Primary Spinal Tumors After Surgical Resection: A Real-World Analysis Based on the Surveillance, Epidemiology, and End Results Database.".Global spine journal .(2022):21925682221086539
