Nomogram Model for Predicting the Prognosis of High-Grade Glioma in Adults Receiving Standard Treatment: A Retrospective Cohort Study
Objectives: To identify the critical factors associated with the progression-free survival (PFS) and overall survival (OS) of high-grade glioma (HGG) in adults who have received standard treatment and establish a novel graphical nomogram and an online dynamic nomogram. Patients and Methods: This is...
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| Format: | Article |
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MDPI AG
2022-12-01
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| Series: | Journal of Clinical Medicine |
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| Online Access: | https://www.mdpi.com/2077-0383/12/1/196 |
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| author | Peng Du Xionggang Yang Li Shen Jiawei Chen Xiao Liu Xuefan Wu Aihong Cao Daoying Geng |
| author_facet | Peng Du Xionggang Yang Li Shen Jiawei Chen Xiao Liu Xuefan Wu Aihong Cao Daoying Geng |
| author_sort | Peng Du |
| collection | DOAJ |
| description | Objectives: To identify the critical factors associated with the progression-free survival (PFS) and overall survival (OS) of high-grade glioma (HGG) in adults who have received standard treatment and establish a novel graphical nomogram and an online dynamic nomogram. Patients and Methods: This is a retrospective study of adult HGG patients receiving standard treatment (surgery, postoperative radiotherapy, and temozolomide (TMZ) chemotherapy) at Huashan Hospital, Fudan University between January 2017 and December 2019. We used uni- and multi-variable COX models to identify the significant prognostic factors for PFS and OS. Based on the significant predictors, graphical and online nomograms were established. Results: A total of 246 patients were enrolled in the study based on the inclusion criteria. The average PFS and OS were 22.99 ± 11.43 and 30.51 ± 13.73 months, respectively. According to the multi-variable COX model, age, extent of resection (EOR), and IDH mutation were associated with PFS and OS, while edema index (EI) was relevant to PFS. In addition, patients with IDH and TERT promoter co-mutations had longer PFSs and OSs, and no apparent survival benefit was found in the long-cycle TMZ adjuvant chemotherapy compared with the standard Stupp protocol. Based on these critical factors, a graphical nomogram and online nomogram were developed for predicting PFS and OS, respectively. The calibration curve showed favorable consistency between the predicted and actual survival rates. C-index and time-dependent AUC showed good discrimination abilities. Conclusions: We identified the significant predictors for the PFS and OS of HGG adults receiving standard treatment and established user-friendly nomogram models to assist neurosurgeons in optimizing clinical management and treatment strategies. |
| first_indexed | 2024-03-11T09:56:38Z |
| format | Article |
| id | doaj.art-1ac7bb6515bb49caab0bc223d7a60029 |
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| issn | 2077-0383 |
| language | English |
| last_indexed | 2024-03-11T09:56:38Z |
| publishDate | 2022-12-01 |
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| record_format | Article |
| series | Journal of Clinical Medicine |
| spelling | doaj.art-1ac7bb6515bb49caab0bc223d7a600292023-11-16T15:42:45ZengMDPI AGJournal of Clinical Medicine2077-03832022-12-0112119610.3390/jcm12010196Nomogram Model for Predicting the Prognosis of High-Grade Glioma in Adults Receiving Standard Treatment: A Retrospective Cohort StudyPeng Du0Xionggang Yang1Li Shen2Jiawei Chen3Xiao Liu4Xuefan Wu5Aihong Cao6Daoying Geng7Department of Radiology, Huashan Hospital, Fudan University, Shanghai 200040, ChinaDepartment of Orthopedic Surgery, Huashan Hospital, Fudan University, Shanghai 200040, ChinaDepartment of Radiology, Jiahui International Hospital, Shanghai 200233, ChinaDepartment of Neurosurgery, Huashan Hospital, Fudan University, Shanghai 200040, ChinaSchool of Computer and Information Technology, Beijing Jiaotong University, Beijing 100044, ChinaDepartment of Radiology, Shanghai Gamma Hospital, Shanghai 200040, ChinaDepartment of Radiology, The Second Affiliated Hospital of Xuzhou Medical University, Xuzhou 221000, ChinaDepartment of Radiology, Huashan Hospital, Fudan University, Shanghai 200040, ChinaObjectives: To identify the critical factors associated with the progression-free survival (PFS) and overall survival (OS) of high-grade glioma (HGG) in adults who have received standard treatment and establish a novel graphical nomogram and an online dynamic nomogram. Patients and Methods: This is a retrospective study of adult HGG patients receiving standard treatment (surgery, postoperative radiotherapy, and temozolomide (TMZ) chemotherapy) at Huashan Hospital, Fudan University between January 2017 and December 2019. We used uni- and multi-variable COX models to identify the significant prognostic factors for PFS and OS. Based on the significant predictors, graphical and online nomograms were established. Results: A total of 246 patients were enrolled in the study based on the inclusion criteria. The average PFS and OS were 22.99 ± 11.43 and 30.51 ± 13.73 months, respectively. According to the multi-variable COX model, age, extent of resection (EOR), and IDH mutation were associated with PFS and OS, while edema index (EI) was relevant to PFS. In addition, patients with IDH and TERT promoter co-mutations had longer PFSs and OSs, and no apparent survival benefit was found in the long-cycle TMZ adjuvant chemotherapy compared with the standard Stupp protocol. Based on these critical factors, a graphical nomogram and online nomogram were developed for predicting PFS and OS, respectively. The calibration curve showed favorable consistency between the predicted and actual survival rates. C-index and time-dependent AUC showed good discrimination abilities. Conclusions: We identified the significant predictors for the PFS and OS of HGG adults receiving standard treatment and established user-friendly nomogram models to assist neurosurgeons in optimizing clinical management and treatment strategies.https://www.mdpi.com/2077-0383/12/1/196nomogram modeladult high-grade gliomaprogression-free survivaloverall survival |
| spellingShingle | Peng Du Xionggang Yang Li Shen Jiawei Chen Xiao Liu Xuefan Wu Aihong Cao Daoying Geng Nomogram Model for Predicting the Prognosis of High-Grade Glioma in Adults Receiving Standard Treatment: A Retrospective Cohort Study Journal of Clinical Medicine nomogram model adult high-grade glioma progression-free survival overall survival |
| title | Nomogram Model for Predicting the Prognosis of High-Grade Glioma in Adults Receiving Standard Treatment: A Retrospective Cohort Study |
| title_full | Nomogram Model for Predicting the Prognosis of High-Grade Glioma in Adults Receiving Standard Treatment: A Retrospective Cohort Study |
| title_fullStr | Nomogram Model for Predicting the Prognosis of High-Grade Glioma in Adults Receiving Standard Treatment: A Retrospective Cohort Study |
| title_full_unstemmed | Nomogram Model for Predicting the Prognosis of High-Grade Glioma in Adults Receiving Standard Treatment: A Retrospective Cohort Study |
| title_short | Nomogram Model for Predicting the Prognosis of High-Grade Glioma in Adults Receiving Standard Treatment: A Retrospective Cohort Study |
| title_sort | nomogram model for predicting the prognosis of high grade glioma in adults receiving standard treatment a retrospective cohort study |
| topic | nomogram model adult high-grade glioma progression-free survival overall survival |
| url | https://www.mdpi.com/2077-0383/12/1/196 |
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