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基于监测、流行病学和最终结果(SEER)数据库且符合STROBE标准的远端胆管癌预后列线图。

A prognostic nomogram for distal bile duct cancer from Surveillance, Epidemiology, and End Results (SEER) database based on the STROBE compliant.

作者信息

Zhao Ye-Yu, Chen Si-Hai, Wan Qin-Si

机构信息

The First Affiliated Hospital of Nanchang University, Nanchang, Jiangxi, China.

出版信息

Medicine (Baltimore). 2019 Nov;98(46):e17903. doi: 10.1097/MD.0000000000017903.

Abstract

In this study, we aimed to develop a reliable nomogram to estimate individualized prognosis for patients with distal bile duct cancer (DBDC) and compare the predictive value with the American Joint Committee on Cancer staging system.Data of 1110 patients diagnosed with DBDC were recruited from the Surveillance, Epidemiology, and End Results database between 1973 and 2015. All patients were randomly divided into the training (n = 777) and validation (n = 333) cohorts, respectively. Multivariate Cox regression was performed to identify the independent risk factors. The Akaike information criterion was used to select covariates for constructing a nomogram. The predictive ability of the nomogram was assessed by concordance index (C-index) and area under receiver operating characteristic curve (AUROC) compared to tumor-node-metastasis (TNM) staging system.A nomogram integrating 8 risk factors was developed with a higher C-index than that of the TNM staging system (training data set, 0.70 vs 0.61; validation data set, 0.71 vs 0.57). The AUROCs of the nomogram for 1-year and 3-year overall survival (OS) predication were 0.76 and 0.78 in the training cohort, 0.78 and 0.77 in the validation cohort. However, AUROCs of the TNM stage for predicting 1-year and 3-year OS were all below 0.60. Calibration curves showed the optimal agreement in predicating OS between nomogram and actual observation. In addition, this nomogram can effectively distinguish the OS between low and high-risk groups divided by the median score (P < .01).Present study was the first one to construct a prognostic nomogram of DBDC patients, which has the potential to provide individual prediction of OS.

摘要

在本研究中,我们旨在开发一种可靠的列线图,以估计远端胆管癌(DBDC)患者的个体化预后,并将其预测价值与美国癌症联合委员会分期系统进行比较。1973年至2015年间,从监测、流行病学和最终结果数据库中招募了1110例诊断为DBDC的患者数据。所有患者分别随机分为训练组(n = 777)和验证组(n = 333)。进行多变量Cox回归以确定独立危险因素。使用赤池信息准则选择用于构建列线图的协变量。与肿瘤-淋巴结-转移(TNM)分期系统相比,通过一致性指数(C指数)和受试者操作特征曲线下面积(AUROC)评估列线图的预测能力。开发了一种整合8个危险因素的列线图,其C指数高于TNM分期系统(训练数据集,0.70对0.61;验证数据集,0.71对0.57)。列线图预测1年和3年总生存期(OS)的AUROC在训练队列中分别为0.76和0.78,在验证队列中分别为0.78和0.77。然而,TNM分期预测1年和3年OS的AUROC均低于0.60。校准曲线显示列线图与实际观察在预测OS方面具有最佳一致性。此外,该列线图可以有效区分按中位数评分划分的低风险和高风险组之间的OS(P < 0.01)。本研究是首个构建DBDC患者预后列线图的研究,该列线图有潜力提供OS的个体预测。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3719/6867718/9cd1bee3c775/medi-98-e17903-g001.jpg

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