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原发性恶性主支气管肿瘤患者的预后:基于监测、流行病学与最终结果(SEER)数据库的7418例病例分析

Prognosis of patients with primary malignant main stem bronchial tumors: 7,418 cases based on the SEER database.

作者信息

Ma Ke, Sun Fenghao, Yang Xiaodong, Wang Shuai, Wang Lin, Jin Yulin, Shi Yu, Jiang Wei, Zhan Cheng, Wang Qun

机构信息

Department of Thoracic Surgery, Zhongshan Hospital of Fudan University, Shanghai, People's Republic of China.

出版信息

Onco Targets Ther. 2017 Dec 22;11:83-95. doi: 10.2147/OTT.S142847. eCollection 2018.

Abstract

BACKGROUND

The aim of this study was to identify risk factors for patients with malignant main stem bronchial tumors (MBTs) and to develop a nomogram for predicting prognosis in those patients using data from the Surveillance, Epidemiology, and End Results (SEER) database.

METHOD

A process was used for case screening from the SEER database. The effect of prognostic factors on survival was evaluated using the Kaplan-Meier method and log-rank test, a competing risk model, and the Cox proportional hazards regression model. A nomogram was established for predicting 1-, 3-, and 5-year overall survival (OS) in patients with MBTs.

RESULTS

A total of 7,418 cases were included in this study. Age, gender, pathologic grade, histologic type, tumor size, involvement of lymph nodes, tumor extension, chemotherapy, and surgery were identified as independent risk factors by univariate and multivariate analyses. A nomogram was established based on the results of the Cox model, which was validated by a C-index of 0.672 (95% CI, 0.664-0.680), and a group of calibration plots.

CONCLUSION

Age, gender, pathologic grade, histologic type, tumor size, involvement of lymph nodes, tumor extension, chemotherapy, and surgery were independent risk factors for OS of patients with MBTs. A nomogram was formulated to predict 1-, 3-, and 5-year OS in patients with MBTs based on individual clinical characteristics.

摘要

背景

本研究旨在确定恶性主支气管肿瘤(MBT)患者的危险因素,并利用监测、流行病学和最终结果(SEER)数据库的数据开发一种列线图,以预测这些患者的预后。

方法

采用一种流程从SEER数据库中筛选病例。使用Kaplan-Meier法和对数秩检验、竞争风险模型以及Cox比例风险回归模型评估预后因素对生存的影响。建立了一个列线图,用于预测MBT患者1年、3年和5年的总生存期(OS)。

结果

本研究共纳入7418例病例。通过单因素和多因素分析,年龄、性别、病理分级、组织学类型、肿瘤大小、淋巴结受累情况、肿瘤侵犯范围、化疗和手术被确定为独立危险因素。基于Cox模型的结果建立了一个列线图,其C指数为0.672(95%CI,0.664-0.680),并通过一组校准图进行了验证。

结论

年龄、性别、病理分级、组织学类型、肿瘤大小、淋巴结受累情况、肿瘤侵犯范围、化疗和手术是MBT患者总生存期的独立危险因素。根据个体临床特征制定了一个列线图,用于预测MBT患者1年、3年和5年的总生存期。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a7ae/5744741/01c71bbf4f31/ott-11-083Fig1.jpg

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