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赵方超, 王伟健, 刘建明. 非小细胞肺癌术后复发转移的风险模型构建及预测能力的验证[J]. 肿瘤防治研究, 2020, 47(4): 273-277. DOI: 10.3971/j.issn.1000-8578.2020.19.0796
引用本文: 赵方超, 王伟健, 刘建明. 非小细胞肺癌术后复发转移的风险模型构建及预测能力的验证[J]. 肿瘤防治研究, 2020, 47(4): 273-277. DOI: 10.3971/j.issn.1000-8578.2020.19.0796
ZHAO Fangchao, WANG Weijian, LIU Jianming. Construction of Risk Model for Postoperative Recurrence and Metastasis of Non-small Cell Lung Cancer and Verification of Predictive Ability[J]. Cancer Research on Prevention and Treatment, 2020, 47(4): 273-277. DOI: 10.3971/j.issn.1000-8578.2020.19.0796
Citation: ZHAO Fangchao, WANG Weijian, LIU Jianming. Construction of Risk Model for Postoperative Recurrence and Metastasis of Non-small Cell Lung Cancer and Verification of Predictive Ability[J]. Cancer Research on Prevention and Treatment, 2020, 47(4): 273-277. DOI: 10.3971/j.issn.1000-8578.2020.19.0796

非小细胞肺癌术后复发转移的风险模型构建及预测能力的验证

Construction of Risk Model for Postoperative Recurrence and Metastasis of Non-small Cell Lung Cancer and Verification of Predictive Ability

  • 摘要:
    目的  探讨影响非小细胞肺癌术后复发转移的危险因素,构建非小细胞肺癌术后复发转移的风险预测模型。
    方法  回顾性分析2011年5月—2014年5月在华北理工大学附属唐山市人民医院接受手术治疗的278例非小细胞肺癌患者的临床资料,随访患者的术后复发和转移情况,建立复发转移风险模型并进行验证。
    结果  多变量Logistic回归分析显示,肿瘤分化程度、纵隔淋巴结转移、术后病理分期是影响患者术后复发转移的独立危险因素。结合独立危险因素建立预测模型,预测模型的AUC为0.867,截断值为0.664。验证组的AUC为0.83,验证组的预测表现与建模组一致。
    结论  本研究构建的临床预测模型可以在一定程度上预测非小细胞肺癌术后复发转移风险,具有一定的临床应用价值。

     

    Abstract:
    Objective  To explore the risk factors for postoperative recurrence and metastasis of non-small cell lung cancer, and to construct a risk prediction model.
    Methods  The clinical data of 278 patients with lung cancer who underwent surgical treatment from May 2011 to May 2014 in Tangshan People's Hospital Affiliated to North China University of Technology were retrospectively analyzed. Postoperative recurrence and metastasis of patients were followed up. The risk model for recurrence and metastasis was established and validated.
    Results  Multivariate Logistic regression analysis showed that tumor differentiation, mediastinal lymph node metastasis, and postoperative pathological staging were independent risk factors for postoperative recurrence and metastasis. A prediction model was established by combining independent risk factors. The prediction model had an AUC of 0.867 and a cutoff of 0.664. The AUC of the validation group was 0.83, and the prediction performance of the validation group was consistent with the modeling group.
    Conclusion  The predictive model constructed in this study could predict the risk of postoperative recurrence and metastasis of non-small cell lung cancer to a certain extent.

     

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