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Wang L, Zhang J, Wang J, Xue H, Deng L, Che F, Heng X, Zheng X, Lu Z, Yang L, Tan Q, Xu Y, Zhang Y, Ji X, Li G, Yang F, Xue F. Postoperative prognostic nomogram for adult grade II/III astrocytoma in the Chinese Han population. Health Inf Sci Syst 2023; 11:23. [PMID: 37151917 PMCID: PMC10160268 DOI: 10.1007/s13755-023-00223-0] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/19/2022] [Accepted: 04/03/2023] [Indexed: 05/09/2023] Open
Abstract
Background Prognostic models of glioma have been the focus of many studies. However, most of them are based on Western populations. Additionally, because of the complexity of healthcare data in China, it is important to select a suitable model based on existing clinical data. This study aimed to develop and independently validate a nomogram for predicting the overall survival (OS) with newly diagnosed grade II/III astrocytoma after surgery. Methods Data of 472 patients with astrocytoma (grades II-III) were collected from Qilu Hospital as training cohort while data of 250 participants from Linyi People's Hospital were collected as validation cohort. Cox proportional hazards model was used to construct the nomogram and individually predicted 1-, 3-, and 5-year survival probabilities. Calibration ability, and discrimination ability were analyzed in both training and validation cohort. Results Overall survival was negatively associated with histopathology, age, subtotal resection, multiple tumors, lower KPS and midline tumors. Internal validation and external validation showed good discrimination (The C-index for 1-, 3-, and 5-year survival were 0.791, 0.748, 0.733 in internal validation and 0.754, 0.735, 0.730 in external validation, respectively). The calibration curves showed good agreement between the predicted and actual 1-, 3-, and 5-year OS rates. Conclusion This is the first nomogram study that integrates common clinicopathological factors to provide an individual probabilistic prognosis prediction for Chinese Han patients with astrocytoma (grades II-III). This model can serve as an easy-to-use tool to advise patients and establish optimized surveillance approaches after surgery. Supplementary Information The online version contains supplementary material available at 10.1007/s13755-023-00223-0.
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Affiliation(s)
- Lijie Wang
- Department of Epidemiology and Health Statistics, School of Public Health, Cheeloo College of Medicine, Shandong University, 44 Wenhua West Road, Jinan, Shandong Province China
- Institute for Medical Dataology, Shandong University, Jinan, China
| | - Jinling Zhang
- Cancer Center & the Research Center of Function Image on Brain Tumor, Linyi People’s Hospital, Shandong University, Linyi, China
| | - Jingtao Wang
- Department of Epidemiology and Health Statistics, School of Public Health, Cheeloo College of Medicine, Shandong University, 44 Wenhua West Road, Jinan, Shandong Province China
- Institute for Medical Dataology, Shandong University, Jinan, China
| | - Hao Xue
- Department of Neurosurgery, Qilu Hospital of Shandong University, Jinan, China
- Institute of Brain and Brain-Inspired Science, Shandong Provincial Key Laboratory of Brain Function Remodeling, Shandong University, Jinan, China
| | - Lin Deng
- Department of Neurosurgery, Qilu Hospital of Shandong University, Jinan, China
- Institute of Brain and Brain-Inspired Science, Shandong Provincial Key Laboratory of Brain Function Remodeling, Shandong University, Jinan, China
| | - Fengyuan Che
- Neurology Department & the Research Center of Function Image on Brain Tumor, Linyi People’s Hospital, Shandong University, Linyi, China
| | - Xueyuan Heng
- Neurosurgery Department & the Research Center of Function Image on Brain Tumor, Linyi People’s Hospital, Shandong University, Linyi, China
| | - Xuejun Zheng
- Department of Radiology, Linyi People’s Hospital, Shandong University, Linyi, China
| | - Zilong Lu
- The Department for Chronic and Non-Communicable Disease Control and Prevention, Shandong Center for Disease Control and Prevention, Jinan, China
| | - Liuqing Yang
- The Department for Chronic and Non-Communicable Disease and Endemic Disease Control and Prevention, Linyi Center for Disease Control and Prevention, Linyi, China
| | - Qihua Tan
- Epidemiology and Biostatistics, Department of Public Health, University of Southern Denmark, Odense, Denmark
- Unit of Human Genetics, Department of Clinical Research, University of Southern Denmark, Odense, Denmark
| | - Yeping Xu
- Synthesis Electronic Technology Co., Ltd., Jinan, China
| | - Yanchun Zhang
- Institute for Sustainable Industries & Liveable Cities, College of Engineering and Science, Victoria University, Melbourne, VIC Australia
| | - Xiaokang Ji
- Institute for Medical Dataology, Shandong University, Jinan, China
| | - Gang Li
- Department of Neurosurgery, Qilu Hospital of Shandong University, Jinan, China
- Institute of Brain and Brain-Inspired Science, Shandong Provincial Key Laboratory of Brain Function Remodeling, Shandong University, Jinan, China
| | - Fan Yang
- Department of Epidemiology and Health Statistics, School of Public Health, Cheeloo College of Medicine, Shandong University, 44 Wenhua West Road, Jinan, Shandong Province China
- Institute for Medical Dataology, Shandong University, Jinan, China
| | - Fuzhong Xue
- Department of Epidemiology and Health Statistics, School of Public Health, Cheeloo College of Medicine, Shandong University, 44 Wenhua West Road, Jinan, Shandong Province China
- Institute for Medical Dataology, Shandong University, Jinan, China
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