非小细胞肺癌合并脑转移患者预后模型的构建研究

doi:10.3969/j.issn.1006-5253.2023.03.005

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Abstract Objective Patients with non-small cell lung cancer (NSCLC) complicated with brain metastases (BM) have poor prognosis. This study aimed to evaluate the prognostic factors of BM in newly diagnosed NSCLC patients and construct a nomogram to predict the overall survival (OS).Methods We included NSCLC patients with BM diagnosed from 2010 to 2016 in SEER and they were randomly divided into the modeling group and the validation group at 7∶3. The independent prognostic factors for NSCLC with BM were determined by Cox proportional hazard regression analysis. R software was used to construct a nomogram and evaluate its differentiation, consistency and effectiveness, and finally draw a 1-3 year survival curve.Results We finally included 6 102 NSCLC patients with BM for analysis. Age, race, gender, histologic type, liver metastasis, lung metastasis, bone metastasis, Grade grading, T staging, N staging, surgery, chemotherapy and radiotherapy were identified as the prognostic factors for NSCLC with BM and integrated to establish the nomogram. The calibration, receiver operating characteristic curve, and decision curve analyses also showed that the clinical prediction model performed satisfactorily in predicting prognosis.Conclusion The construction of a clinical prediction model could effectively predict the overall survival of patients with NSCLC with BM, which has guiding significance for clinicians and patients.

Key words： non-small cell lung cancer (NSCLC) brain metastases (BM) nomogram SEER

Received: 01 February 2023

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	Bian Houlei
	Gao Xuejun

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Bian Houlei,Gao Xuejun. Construction of prognostic model of nonsmall cell lung cancer patients with brain metastases

[J]. journal1, 2023, 30(3): 183-190.

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http://manu58.magtech.com.cn/Jwk_zgyytj/EN/10.3969/j.issn.1006-5253.2023.03.005 OR http://manu58.magtech.com.cn/Jwk_zgyytj/EN/Y2023/V30/I3/183

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