Risk prediction of second primary malignancies in patients after rectal cancer: analysis based on SEER Program.
Risk prediction of second primary malignancies in patients after rectal cancer: analysis based on SEER Program.
复制标题
DOI：
10.1186/s12876-023-02974-2
复制
发表时间：
2023-10-12
影响因子：
2.4
通讯作者：
Shi, Wei-Hai
中科院分区：
文献类型：
--
作者：
Sun, Yong-Chao;Zhao, Zi-Dan;Yao, Na;Jiao, Yu-Wen;Zhang, Jia-Wen;Fu, Yue;Shi, Wei-Hai
本研究旨在探讨直肠癌合并第二原发癌患者的临床特征，并构建预后诺模图，为临床治疗决策提供依据。通过考克斯回归分析，我们确定了危险因素与总生存期（OS）之间的关系，同时建立了一个诺模图来预测这些患者的进一步OS状态。最后，我们评估了预后列线图预测进一步OS状态的性能。在本研究中，确定了9个参数来建立预后诺模图，训练集和验证集的C指数分别为0.691（95%CI，0.662-0.720）和0.731（95%CI，0.676-0.786）。校准曲线显示预测结果与实际结果高度一致，受试者工作特征（ROC）曲线验证了我们的模型的临床实用性的优越性。此外，诺模图分类法能更准确地区分危险亚组，提高对SPM预后的判别力。我们系统地探讨了RC后SPM的临床特征，并构建了满意的诺模图。在线版本包含补充材料，可通过10.1186/s12876-023-02974-2获得。
This study will focus on exploring the clinical characteristics of rectal cancer (RC) patients with Second Primary Malignancies (SPMs) and constructing a prognostic nomogram to provide clinical treatment decisions. We determined the association between risk factors and overall survival (OS) while establishing a nomogram to forecast the further OS status of these patients via Cox regression analysis. Finally, we evaluated the performance of the prognostic nomogram to predict further OS status. Nine parameters were identified to establish the prognostic nomogram in this study, and, the C-index of the training set and validation set was 0.691 (95%CI, 0.662–0.720) and 0.731 (95%CI, 0.676–0.786), respectively. The calibration curve showed a high agreement between the predicted and actual results, and the receiver operating characteristic (ROC) curves verified the superiority of our model for clinical usefulness. In addition, the nomogram classification could more precisely differentiate risk subgroups and improved the discrimination of SPMs’ prognosis. We systematically explored the clinical characteristics of SPMs after RC and constructed a satisfactory nomogram. The online version contains supplementary material available at 10.1186/s12876-023-02974-2.
登录
查看更多内容
影响因子：
4.3
作者：
Li, Mou;Zhu, Yu-Zhou;Song, Bin
通讯作者：
Song, Bin
结直肠癌患者发生第二原发恶性肿瘤的风险。
影响因子：
5.2
作者：
Du, Songtao;Li, Yayun;Sun, Huiyan;Deng, Guangtong;Tang, Siyuan;Zeng, Furong;Zhang, Bomiao;Cui, Binbin
通讯作者：
Cui, Binbin
影响因子：
3.7
作者：
Guan, Xu;Jin, Yinghu;Wang, Xishan
通讯作者：
Wang, Xishan
影响因子：
3.4
作者：
Biju K;Zhang GQ;Stem M;Sahyoun R;Safar B;Atallah C;Efron JE;Rajput A
通讯作者：
Rajput A
影响因子：
7.5
作者：
Joelsson, Joel;Wasterlid, Tove;Rosenquist, Richard;Jakobsen, Lasse Hjort;El-Galaly, Tarec C.;Smedby, Karin E.;Eloranta, Sandra
通讯作者：
Eloranta, Sandra