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采用倾向评分匹配法构建 IV 期 M1a 期非小细胞肺癌患者肿瘤切除术预后获益的列线图。

Construction of a Nomogram After Using Propensity Score Matching to Reveal the Prognostic Benefit of Tumor Resection of Stage IV M1a Nonsmall Cell Lung Cancer Patients.

机构信息

Department of Respiratory and Critical Care Medicine II, The Affiliated Hospital of Southwest Medical University, Luzhuo, Sichuan Province, People's Republic of China.

出版信息

Cancer Invest. 2020 May;38(5):277-288. doi: 10.1080/07357907.2020.1753761. Epub 2020 Apr 24.

DOI:10.1080/07357907.2020.1753761
PMID:32267175
Abstract

The aim of this work was to determine whether tumor resection could improve the prognosis of M1a nonsmall-cell lung cancer (NSCLC) patients. We obtained patient data from the Surveillance, Epidemiology, and End Results (SEER) database and used propensity score matching (PSM) to reduce the influence of confounding variables. Univariate and multivariate Cox regression analyses were used to identify independent prognostic factors, and the prediction results were visualized using the nomogram. A total of 772 patients with and without tumor resection were enrolled after PSM, and the nomogram combined with independent prognostic factors including age, sex, histological type, grade, T stage, N stage, chemotherapy, and surgery showed great prediction and discriminatory ability. Tumor resection is possibly a better choice for these patients.

摘要

本研究旨在探讨肿瘤切除术是否能改善 M1a 期非小细胞肺癌(NSCLC)患者的预后。我们从监测、流行病学和最终结果(SEER)数据库中获取患者数据,并采用倾向评分匹配(PSM)来降低混杂变量的影响。采用单因素和多因素 Cox 回归分析确定独立的预后因素,并使用列线图可视化预测结果。经过 PSM 后,共纳入 772 例有和无肿瘤切除术的患者,列线图结合年龄、性别、组织学类型、分级、T 分期、N 分期、化疗和手术等独立预后因素,具有良好的预测和区分能力。对于这些患者,肿瘤切除术可能是更好的选择。

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