{"title":"A Nomogram Model for Predicting Prognosis of Patients with Medulloblastoma.","authors":"Hui Liu, Peng Sun","doi":"10.5137/1019-5149.JTN.40397-22.3","DOIUrl":null,"url":null,"abstract":"<p><strong>Aim: </strong>To identify the prognostic factors associated with cancer-specific survival in medulloblastoma (MB), and to use them for establishing a nomogram model to predict cancer-specific survival.</p><p><strong>Material and methods: </strong>In total, 268 patients with MB were included; they were rigorously respectively screened from the Surveillance, Epidemiology, and End Results database from 1988 to 2015 and statistically analyzed in R language. This study focused on cancer-specific death and used the cox regression analysis for variable filtering. The model was calibrated using C-index, area under the curve (AUC), and calibration curve.</p><p><strong>Results: </strong>As per our findings, it was determined that extension (localized: hazard ratio [HR]=0.5899, p=0.00963; further extension: indicator) and treatment modality (radiation after surgery chemotherapy sequence unknown: HR=0.3646, p=0.00192; no surgery: indicator) were statistically significant in the prognosis of MB and were finally utilized to construct a nomogram model for predicting the condition. The AUC values were 0.649, 0.629, and 0.64 at 2, 3, and 5 years, respectively.</p><p><strong>Conclusion: </strong>Tumor extension and treatment modality were independent prognostic factors for MB.</p>","PeriodicalId":23395,"journal":{"name":"Turkish neurosurgery","volume":" ","pages":"38-45"},"PeriodicalIF":0.9000,"publicationDate":"2024-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Turkish neurosurgery","FirstCategoryId":"3","ListUrlMain":"https://doi.org/10.5137/1019-5149.JTN.40397-22.3","RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q4","JCRName":"CLINICAL NEUROLOGY","Score":null,"Total":0}
引用次数: 0
Abstract
Aim: To identify the prognostic factors associated with cancer-specific survival in medulloblastoma (MB), and to use them for establishing a nomogram model to predict cancer-specific survival.
Material and methods: In total, 268 patients with MB were included; they were rigorously respectively screened from the Surveillance, Epidemiology, and End Results database from 1988 to 2015 and statistically analyzed in R language. This study focused on cancer-specific death and used the cox regression analysis for variable filtering. The model was calibrated using C-index, area under the curve (AUC), and calibration curve.
Results: As per our findings, it was determined that extension (localized: hazard ratio [HR]=0.5899, p=0.00963; further extension: indicator) and treatment modality (radiation after surgery chemotherapy sequence unknown: HR=0.3646, p=0.00192; no surgery: indicator) were statistically significant in the prognosis of MB and were finally utilized to construct a nomogram model for predicting the condition. The AUC values were 0.649, 0.629, and 0.64 at 2, 3, and 5 years, respectively.
Conclusion: Tumor extension and treatment modality were independent prognostic factors for MB.
期刊介绍:
Turkish Neurosurgery is a peer-reviewed, multidisciplinary, open access and totally free journal directed at an audience of neurosurgery physicians and scientists. The official language of the journal is English. The journal publishes original articles in the form of clinical and basic research. Turkish Neurosurgery will only publish studies that have institutional review board (IRB) approval and have strictly observed an acceptable follow-up period. With the exception of reference presentation, Turkish Neurosurgery requires that all manuscripts be prepared in accordance with the Uniform Requirements for Manuscripts Submitted to Biomedical Journals.