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预测肿瘤大小对胆囊癌切除术后癌症特异性生存影响的列线图的开发与外部验证:一项基于人群的研究

Development and external validation of a nomogram for predicting the effect of tumor size on cancer-specific survival of resected gallbladder cancer: a population-based study.

作者信息

Zhang Yaodong, Zhou Tao, Han Sheng, Chang Jiang, Jiang Wangjie, Wang Ziyi, Li Changxian, Li Xiangcheng

机构信息

Key Laboratory on Living Donor Transplantation, Ministry of Health, Hepatobiliary/Liver Transplantation Center, The First Affiliated Hospital of Nanjing Medical University, 300# Guangzhou Road, Nanjing, 210029, Jiangsu, China.

出版信息

Int J Clin Oncol. 2021 Jun;26(6):1120-1129. doi: 10.1007/s10147-021-01891-2. Epub 2021 Mar 5.

Abstract

BACKGROUND

The impact of tumor size on account of the long-term survival results in gallbladder cancer (GBC) patients has been controversial. It is urgent necessary to identify the optimal cut-off value of tumor size in resected GBC, and we attempted to integrate tumor size with other prognostic factors into a prognostic nomogram to predict the cancer-specific survival (CSS) of GBC patients.

METHODS

1639 patients with resected GBC were extracted from the Surveillance, Epidemiology and End Results (SEER) database. X-tile program was used to identify the optimal cut-off value of tumor size. A nomogram including tumor size was established to predict 1-, 3- and 5-year CSS based on the independent risk factors chosen by univariate and multivariable cox analyses. The precision of the nomogram for predicting survival was validated with Harrell's concordance index (C-index), calibration curves, and receiver operating characteristic curve (ROC) internally and externally.

RESULTS

Patients with GBC were classified into 1-13 mm, 14-63 mm and 64 mm subgroup based on the optimal cut-off for tumor size in terms of CSS. The nomogram according to the independent factors was well calibrated and displayed better discrimination power than 7th tumor-node-metastasis (TNM) stage systems.

CONCLUSIONS

The results demonstrated that increased tumor size is closely associated with the worse CSS. Our novel nomogram, which outperforms the conventional TNM staging system, showed satisfactory accuracy and clinically practicality for predicting the outcome of resected GBC patients.

摘要

背景

肿瘤大小对胆囊癌(GBC)患者长期生存结果的影响一直存在争议。确定切除的GBC中肿瘤大小的最佳临界值迫在眉睫,我们试图将肿瘤大小与其他预后因素整合到一个预后列线图中,以预测GBC患者的癌症特异性生存(CSS)。

方法

从监测、流行病学和最终结果(SEER)数据库中提取1639例接受GBC切除的患者。使用X-tile程序确定肿瘤大小的最佳临界值。基于单变量和多变量cox分析选择的独立危险因素,建立了一个包括肿瘤大小的列线图,以预测1年、3年和5年CSS。通过Harrell一致性指数(C指数)、校准曲线和受试者操作特征曲线(ROC)在内部和外部验证列线图预测生存的准确性。

结果

根据CSS的肿瘤大小最佳临界值,将GBC患者分为1-13mm、14-63mm和64mm亚组。根据独立因素绘制的列线图校准良好,并且比第七版肿瘤-淋巴结-转移(TNM)分期系统具有更好的辨别力。

结论

结果表明,肿瘤大小增加与较差的CSS密切相关。我们的新型列线图优于传统的TNM分期系统,在预测接受GBC切除患者的预后方面显示出令人满意的准确性和临床实用性。

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