Development and Validation of a Nomogram for Predicting Overall Survival in Pediatric Patients with Atypical Teratoid/Rhabdoid Tumors.

IF 0.9 4区 医学 Q4 CLINICAL NEUROLOGY Turkish neurosurgery Pub Date : 2023-01-01 DOI:10.5137/1019-5149.JTN.33034-20.2
Yao Liu, Xiao Peng, Tingting Zeng
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引用次数: 2

Abstract

Aim: To construct a reliable prediction model for pediatric atypical teratoid/rhabdoid tumor (ATRT) patients.

Material and methods: Population-based data of patients diagnosed with intracranial ATRT were extracted from the National Cancer Institute?s Surveillance, Epidemiology, and End Results database. These patients were randomly assigned into training and validation cohorts at a ratio of 2:1. Univariable and multivariable Cox analyses were conducted to determine independent factors of overall survival (OS). A nomogram was then developed using the covariates with the best prognostic value, and the predictive performance of the nomogram was assessed by calibration curves, concordance index, time-dependent receiver operating characteristic curve analysis, and decision curve analysis.

Results: A total of 267 cases were included. The OS rates at 6 months, 1 year, and 3 years were 61.6%, 50.1%, and 35.4%, respectively. The results of multivariable Cox analysis showed that tumor extension, surgery type, radiotherapy, and chemotherapy were independent prognostic indicators. A nomogram integrating these factors was established to predict the 6-month, 1-year, and 3-year OS rates. This prediction model was validated in the validation cohort. The nomogram had favorable predictive performance and discrimination ability.

Conclusion: We developed and validated a novel nomogram with favorable discrimination ability to predict prognosis for newly diagnosed pediatric ATRT patients. Although additional validation is required, this may be a useful tool in clinical decision making.

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预测非典型Teratoid/Rabdoid肿瘤儿童患者总体生存率的诺模图的开发和验证。
目的:建立儿童非典型畸胎瘤/横纹肌样肿瘤(ATRT)患者的可靠预测模型。材料和方法:从国家癌症研究所提取诊断为颅内ATRT的患者的基于人群的数据?s监测、流行病学和最终结果数据库。这些患者以2:1的比例被随机分配到训练和验证队列中。进行单变量和多变量Cox分析,以确定总生存率(OS)的独立因素。然后,使用具有最佳预后值的协变量开发列线图,并通过校准曲线、一致性指数、时间依赖的受试者操作特征曲线分析和决策曲线分析来评估列线图的预测性能。结果:共纳入267例。6个月、1年和3年的OS发生率分别为61.6%、50.1%和35.4%。多变量Cox分析结果表明,肿瘤范围、手术类型、放疗和化疗是独立的预后指标。建立了综合这些因素的列线图来预测6个月、1年和3年的OS发生率。该预测模型已在验证队列中得到验证。该列线图具有良好的预测性能和判别能力。结论:我们开发并验证了一种新的列线图,该列线图具有良好的判别能力,可以预测新诊断的儿科ATRT患者的预后。尽管需要额外的验证,但这可能是临床决策中的一个有用工具。
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来源期刊
Turkish neurosurgery
Turkish neurosurgery 医学-临床神经学
CiteScore
1.50
自引率
12.50%
发文量
126
审稿时长
2 months
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.
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