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    赵光, 朱天霸, 许儒, 王星淇, 李祥. 基于SEER数据库建立鼻咽癌预后预测模型列线图[J]. 徐州医科大学学报, 2022, 42(3): 217-224. DOI: 10.3969/j.issn.2096-3882.2022.03.012
    引用本文: 赵光, 朱天霸, 许儒, 王星淇, 李祥. 基于SEER数据库建立鼻咽癌预后预测模型列线图[J]. 徐州医科大学学报, 2022, 42(3): 217-224. DOI: 10.3969/j.issn.2096-3882.2022.03.012
    Establishment of a nomogram for the prognosis prediction model of nasopharyngeal carcinoma ba<x>sed on the SEER databa<x>se[J]. Journal of Xuzhou Medical University, 2022, 42(3): 217-224. DOI: 10.3969/j.issn.2096-3882.2022.03.012
    Citation: Establishment of a nomogram for the prognosis prediction model of nasopharyngeal carcinoma ba<x>sed on the SEER databa<x>se[J]. Journal of Xuzhou Medical University, 2022, 42(3): 217-224. DOI: 10.3969/j.issn.2096-3882.2022.03.012

    基于SEER数据库建立鼻咽癌预后预测模型列线图

    Establishment of a nomogram for the prognosis prediction model of nasopharyngeal carcinoma ba<x>sed on the SEER databa<x>se

    • 摘要: 目的: 探究影响鼻咽癌(NPC)患者诊断时的危险及预后因素。方法: 通过SEER*Stat软件提取SEER数据库中2010 - 2015年确诊的鼻咽癌患者。通过单因素和多因素 Cox 回归分析,探讨影响鼻咽癌患者预后的临床因素,最终建立列线图来预测1年、3年和5年癌症特异性生存(CSS)率。通过一致性指数(C-index)、校准图、曲线下面积(AUC)和受试者工作特征(ROC)曲线来评估列线图的判别和预测能力。通过决策曲线(DCA)分析评估列线图的临床应用。结果: 对367例鼻咽癌患者进行队列分析,多因素Cox回归分析显示,种族、婚姻状况、AJCC T、AJCC N、放疗、肝转移、诊断年龄与CSS独立相关,这些因素均被用于构建列线图预测模型。ROC曲线分析显示1年,3年,5年的总生存率AUC均大于0.65,内部和外部校准图显示列线图预测和观测结果之间有极好的一致性。决策曲线显示列线图相对于放疗具有更好的临床益处。结论: 列线图可以准确预测鼻咽癌患者的预后,具有很好的临床应用价值。

       

      Abstract: ob<x>jective To explore the risk and prognostic factors that affect the diagnosis of nasopharyngeal carcinoma (NPC). Methods Patients diagnosed with nasopharyngeal cancer between 2010 and 2015 were extracted from the SEER databa<x>se using SEER*Stat software. Univariate and multivariate Cox regression analysis were used to explore the clinical factors affecting the prognosis of patients with nasopharyngeal carcinoma. F inally, a nomogram was established to predict the 1-year, the 3- and 5-year cancer-specific survival (CSS) rate. The discriminatory and predictive capacities of the nomogram were assessed by concordance index (C-index), calibration plots, area under the curve (AUC) and time-dependent receiver operating characteristic curve. The clinical use of nomograms was estimated by decision curve analysis (DCA). Results A cohort of 367 patients with NPC was analyzed. Multivariate * 通信作者,E-mail: jixiangbull@126.comestimated by decision curve analysis (DCA). Results A cohort of 367 patients with NPC was analyzed. Multivariate analysis showed that race, marital status, AJCC T, AJCC N, radiation, liver-me<x>tastasis, age at diagnosis were independently associated with CSS. ROC curve analysis showed that the 1-, 3-, and 5- year overall survival rates (AUC) were greater than 0.65, and internal and external calibration plots showed excellent agreement between nomogram prediction and observed outcomes. T he decision curve showed that the nomogram had better clinical benefits than radiotherapy. Conclusion The nomogram can accurately predict the prognosis of patients with nasopharyngeal carcinoma and has good clinical application value

       

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