Deng Xu-Feng, Dai Yin, Liu Xiao-Qing, Qi Huang-Zhi, Zhou Dong, Zheng Hong, Li Jiang, Liu Quan-Xing
Department of Thoracic Surgery, Xinqiao Hospital, Army Medical University, Third Military Medical University), Chongqing, 400037 China.
Department of Information, Xinqiao Hospital, Army Medical University, Third Military Medical University), Chongqing, 400037 China.
Indian J Surg Oncol. 2023 Jun;14(2):376-386. doi: 10.1007/s13193-022-01700-w. Epub 2023 Jan 21.
The American Joint Committee on Cancer (AJCC) 8th stage system was limited in accuracy for predicting prognosis of stage IA non-small cell lung cancer (NSCLC) patients. This study aimed to establish and validate two nomograms that predict overall survival (OS) and lung cancer-specific survival (LCSS) in surgically resected stage IA NSCLC patients. Postoperative patients with stage IA NSCLC in SEER database between 2004 and 2015 were examined. Survival and clinical information according to the inclusion and exclusion criteria were collected. All patients were randomly divided into the training cohort and validation cohort with a ratio of 7:3. Independent prognosis factors were evaluated using univariate and multivariate Cox regression analyses, and predictive nomogram was established based on these factors. Nomogram performance was measured using the C-index, calibration plots, and DCA. Patients were grouped by quartiles of nomogram scores and survival curves were plotted by Kaplan-Meier analysis. In total, 33,533 patients were included in the study. The nomogram contained 12 prognostic factors in OS and 10 prognostic factors in LCSS. In the validation set, the C-index was 0.652 for predicting OS and 0.651 for predicting LCSS. The calibration curves for the nomogram-predicted probability of OS and LCSS showed good agreement between the actual observation and nomogram prediction. DCA indicated that the clinical value of the nomograms were higher than AJCC 8th stage for predicting OS and LCSS. Nomogram scores related risk stratification revealed statistically significant difference which have better discrimination than AJCC 8th stage. The nomogram can accurately predict OS and LCSS in surgically resected patients with stage IA NSCLC.
The online version contains supplementary material available at 10.1007/s13193-022-01700-w.
美国癌症联合委员会(AJCC)第8版分期系统在预测IA期非小细胞肺癌(NSCLC)患者的预后方面准确性有限。本研究旨在建立并验证两个列线图,以预测接受手术切除的IA期NSCLC患者的总生存期(OS)和肺癌特异性生存期(LCSS)。对2004年至2015年SEER数据库中IA期NSCLC的术后患者进行了检查。收集符合纳入和排除标准的生存及临床信息。所有患者以7:3的比例随机分为训练队列和验证队列。使用单因素和多因素Cox回归分析评估独立预后因素,并基于这些因素建立预测列线图。使用C指数、校准图和决策曲线分析(DCA)来衡量列线图性能。根据列线图得分的四分位数对患者进行分组,并通过Kaplan-Meier分析绘制生存曲线。本研究共纳入33533例患者。该列线图在OS方面包含12个预后因素,在LCSS方面包含10个预后因素。在验证集中,预测OS的C指数为0.652,预测LCSS的C指数为0.651。列线图预测的OS和LCSS概率的校准曲线显示实际观察与列线图预测之间具有良好的一致性。DCA表明,列线图在预测OS和LCSS方面的临床价值高于AJCC第8版分期。列线图得分相关的风险分层显示出统计学上的显著差异,其区分度优于AJCC第8版分期。该列线图能够准确预测接受手术切除的IA期NSCLC患者的OS和LCSS。
在线版本包含可在10.1007/s13193-022-01700-w获取的补充材料。