Sichuan North Medical College, Nanchong, 637000, Sichuan Province, China.
Zigong First People's Hospital, Zigong City, 643000, Sichuan Province, China.
Sci Rep. 2023 Oct 18;13(1):17774. doi: 10.1038/s41598-023-45058-7.
Primary pulmonary sarcoma (PPS) is a rare and poor prognostic malignancy that results from current clinical studies are lacking. Our study aimed to investigate the prognostic factors of PPS and to construct a predictive nomogram that predict the overall survival (OS) rate. We extracted data on patients diagnosed with PPS from 2010 to 2019 in the SEER database. A total of 169 patients were included after screening by inclusion and exclusion criteria. Univariate and multivariate COX regression analyses showed that age, pathological grade, liver metastasis, surgical intervention, and chemotherapy influenced the prognosis. We constructed the prediction model nomogram based on these factors. Moreover, the results of the internal and external ROC curves, calibration curves, and DCA plots confirmed that the model has good discrimination, accuracy, and clinical practice efficacy. The present study is the first population-based study to explore the factors affecting the prognosis of PPS. We established a novel prognostic nomogram to predict the OS rate, which can help to make proper clinical decisions.
原发性肺肉瘤（PPS）是一种罕见的预后不良的恶性肿瘤，目前缺乏临床研究结果。本研究旨在探讨 PPS 的预后因素，并构建一个预测总生存率（OS）的列线图。我们从 SEER 数据库中提取了 2010 年至 2019 年诊断为 PPS 的患者数据。经过纳入和排除标准筛选后，共纳入 169 例患者。单因素和多因素 COX 回归分析显示，年龄、病理分级、肝转移、手术干预和化疗影响预后。我们基于这些因素构建了预测模型列线图。此外，内部和外部 ROC 曲线、校准曲线和 DCA 图的结果证实，该模型具有良好的区分度、准确性和临床实践效果。本研究是首个基于人群的研究，探讨了影响 PPS 预后的因素。我们建立了一个新的预后列线图来预测 OS 率，这有助于做出适当的临床决策。
