|Table of Contents|

Construction of prognostic nomogram for low-grade glioma based on SEER database

Journal Of Modern Oncology[ISSN:1672-4992/CN:61-1415/R]

Issue:
2023 11
Page:
2031-2036
Research Field:
Publishing date:

Info

Title:
Construction of prognostic nomogram for low-grade glioma based on SEER database
Author(s):
QI Zedi1; QU Yichen1; ZHANG Mingda1; HU Changchen1; QI Guozhang2; CHEN Shengli1
1.Department of Neurosurgery,the Fifth Clinical Medical College of Shanxi Medical University,Shanxi Taiyuan 030012,China;2.Trigeminal Neuralgia Hospital of Anyang,Henan Anyang 455000,China.
Keywords:
low-grade gliomas; nomogram; overall survival rate; SEER database
PACS:
R739.4
DOI:
10.3969/j.issn.1672-4992.2023.11.011
Abstract:
Objective:To establish a nomogram from SEER database to analyze prognostic factors and predict survival rate of patients with low-grade glioma.Methods:A total of 5 439 patients with low-grade glioma were collected through SEER database,and their demographic information and clinical characteristics were analyzed.1 001 cases were randomly selected as the internal validation set of the model,while 67 low-grade glioma patients treated in The Fifth Clinical Medical College of Shanxi Medical University from 2010 to 2017 were collected as the external validation set.Independent risk factors were analyzed by Cox regression analysis and Lasso regression analysis.These independent risk predictors were combined to exploit a nomogram predicting 1-year and 3-year survival rate for patients with low-grade glioma.The performance of nomogram was evaluated by ROC curve and calibration curve from internal validation set data and external validation set data.Results:A total of 4 438 patients in the training set,1 001 patients in the internal validation set and 67 patients in the external validation set were included.There was no significant difference in the distribution of general population.Age,pathological type,surgical method,tumor size,marital status,chemotherapy,radiotherapy and location were included as independent predictors (P<0.001).The prognostic prediction model was constructed by the above 7 factors,and the results were presented in the form of nomogram.The area under ROC curves of the nomogram verified by the internal validation set were 0.841 and 0.804.The area under the ROC curves of the nomogram verified by the external validation set were 0.703 and 0.742.It shows that the model has good discrimination and accuracy.The calibration curve shows that it has good consistency.Conclusion:This nomogram can be used to predict the overall survival of patients with low-grade glioma,and has high clinical value,which can provide a reference for individualized treatment of low-grade glioma.

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Memo

Memo:
National Natural Science Foundation of China(No.30901774）；国家自然科学基金（编号：30901774）;山西省人民医院省级专项配套经费科研项目（编号：sj20019003）
Last Update: 2023-04-28