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A novel nomogram individually predicting disease-specific survival after D2 gastrectomy for advanced gastric cancer

机译:新颖的列线图可单独预测晚期胃癌D2胃切除术后疾病特异性生存

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Few studies have shown nomograms that may predict disease-specific survival (DSS) probability after curative D2 gastrectomy for advanced gastric cancer (AGC), particularly among Chinese patients. This study sought to develop an elaborative nomogram that predicts long-term DSS for AGC in Chinese patients. A retrospective study was conducted on 6753 AGC patients undergoing D2 gastrectomy between January 1, 2000 and December 31, 2012 from three large medical hospitals in China. We assigned patients from Sun Yat-sen University Cancer Center to the training set, and patients from the First Affiliated Hospital of China Medical University and Tianjin Medical University Cancer Hospital to two separate external validation sets. A multivariate survival analysis was performed using Cox proportional hazards regression model in a training set, and a nomogram was constructed. Harrell’s C-index was used to evaluate discrimination and calibration plots were used to validate similarities between survival probabilities predicted by the nomogram model and actual survival rates in two validation sets. The multivariate Cox regression model identified age, tumor size, location, Lauren classification, lymphatic/venous invasion, depth of invasion, and metastatic lymph node ratio as covariates associated with survival. In the training set, the nomogram exhibited superior discrimination power compared with the 8th American Joint Committee on Cancer TNM classification (Harrell’s C-index, 0.82 vs. 0.74; P  0.001). In two validation sets, the nomogram’s discrimination power was also excellent relative to TNM classification (C-index, 0.83 vs. 0.75 and 0.81 vs. 0.74, respectively; P  0.001 for both). After calibration, the nomogram produced survival predictions that corresponded closely with actual survival rate. The established nomogram was able to predict 3-, 5-, and 10-year DSS probabilities for AGC patients. Validation revealed that this nomogram exhibited excellent discrimination and calibration capacity, suggesting its clinical utility.
机译:很少有研究显示诺模图可以预测晚期胃癌(AGC)治愈性D2胃切除术后的疾病特异性生存(DSS)可能性,特别是在中国患者中。这项研究试图开发出一种精细的列线图,以预测中国患者AGC的长期DSS。回顾性研究了2000年1月1日至2012年12月31日期间在中国3家大型医疗医院接受D2胃切除术的6 753例AGC患者。我们将中山大学肿瘤防治中心的患者分为训练集,将中国医科大学附属第一医院和天津医科大学肿瘤医院的患者分为两个独立的外部验证集。在训练集中使用Cox比例风险回归模型进行了多元生存分析,并构建了诺模图。哈雷尔(Harrell)的C指数用于评估辨别力,标定图用于验证由列线图模型预测的生存概率与两个验证集中的实际生存率之间的相似性。多元Cox回归模型将年龄,肿瘤大小,位置,Lauren分类,淋巴/静脉浸润,浸润深度和转移性淋巴结比率确定为与生存相关的协变量。与第8届美国癌症TNM联合委员会相比,在训练集中,列线图显示出更好的辨别力(Harrell的C指数,0.82对0.74; P <0.001)。在两个验证集中,相对于TNM分类,列线图的辨别力也非常好(C指数分别为0.83对0.75和0.81对0.74;两者的P <0.001)。校准后,列线图产生的生存预测与实际生存率非常接近。建立的列线图能够预测AGC患者的3年,5年和10年DSS概率。验证表明,该诺模图显示出出色的辨别力和校准能力,表明其临床实用性。

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