Objective

The purpose of this study was to establish and validate a nomogram to predict the prognosis in patients with non-small cell lung cancer (NSCLC) from multiple perspectives.

Results

A total of 98,640 eligible patients were randomly divided into a training set (n = 69,048) and a validation set (n = 29,592). The baseline characteristics of the two sets were similar. We used clinical data from patients in the training set for univariate and multivariate Cox regression analyses. Twelve independent risk factors were incorporated for constructed a prognostic nomogram. And the nomogram with a concordance index of 0.777 (95 % CI, 0.775 to 0.779) for overall survival. The calibration curve results showed that the actual survival rate was consistent with the predicted survival rate. The area under curve of the receiver operating characteristic curves demonstrated that the nomogram has a high prediction of the overall survival rate in patients with NSCLC.

Conclusion

We have developed a nomogram with high prediction accuracy and discrimination ability, which can help clinicians making personalized survival predictions for NSCLC patients.

中文翻译：

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SEER数据库中的列线图，用于预测非小细胞肺癌患者的预后。

目的

这项研究的目的是建立并验证诺模图以从多个角度预测非小细胞肺癌（NSCLC）患者的预后。

结果

总共98,640名合格患者被随机分为训练组（n = 69,048）和验证组（n = 29,592）。两组的基线特征相似。我们使用训练集中患者的临床数据进行单因素和多因素Cox回归分析。纳入十二个独立的危险因素以构建预后列线图。总体生存率的一致性指数为0.777（95％CI，0.775至0.779）。校正曲线结果表明，实际存活率与预期存活率一致。接收器工作特性曲线的曲线下面积表明，诺模图对非小细胞肺癌患者的总生存率具有较高的预测。

结论

我们已经开发出具有高预测准确性和区分能力的列线图，可以帮助临床医生为NSCLC患者做出个性化的生存预测。