PDF(Pubmed)
Abstract：
BACKGROUND: Radical gastrectomy remains the main treatment for gastric cancer, despite its high mortality. A clinical predictive model of 90-day mortality (90DM) risk after gastric cancer surgery based on the Spanish EURECCA registry database was developed using a matching learning algorithm. We performed an external validation of this model based on data from an international multicenter cohort of patients.
METHODS: A cohort of patients from the European GASTRODATA database was selected. Demographic, clinical, and treatment variables in the original and validation cohorts were compared. The performance of the model was evaluated using the area under the curve (AUC) for a random forest model.
RESULTS: The validation cohort included 2546 patients from 24 European hospitals. The advanced clinical T- and N-category, neoadjuvant therapy, open procedures, total gastrectomy rates, and mean volume of the centers were significantly higher in the validation cohort. The 90DM rate was also higher in the validation cohort (5.6%) vs. the original cohort (3.7%). The AUC in the validation model was 0.716.
CONCLUSIONS: The externally validated model for predicting the 90DM risk in gastric cancer patients undergoing gastrectomy with curative intent continues to be as useful as the original model in clinical practice.
METHODS: A cohort of patients from the European GASTRODATA database was selected. Demographic, clinical, and treatment variables in the original and validation cohorts were compared. The performance of the model was evaluated using the area under the curve (AUC) for a random forest model.
RESULTS: The validation cohort included 2546 patients from 24 European hospitals. The advanced clinical T- and N-category, neoadjuvant therapy, open procedures, total gastrectomy rates, and mean volume of the centers were significantly higher in the validation cohort. The 90DM rate was also higher in the validation cohort (5.6%) vs. the original cohort (3.7%). The AUC in the validation model was 0.716.
CONCLUSIONS: The externally validated model for predicting the 90DM risk in gastric cancer patients undergoing gastrectomy with curative intent continues to be as useful as the original model in clinical practice.
摘要：
背景：胃癌根治术仍是胃癌的主要治疗手段，尽管死亡率很高。使用匹配学习算法，基于西班牙EURECCA注册数据库开发了胃癌手术后90天死亡率（90DM）风险的临床预测模型。我们基于来自国际多中心患者队列的数据对该模型进行了外部验证。
方法：选择来自欧洲GASTRODATA数据库的一组患者。人口统计,临床,并比较原始队列和验证队列中的治疗变量.使用随机森林模型的曲线下面积(AUC)评估模型的性能。
结果：验证队列包括来自24家欧洲医院的2546名患者。先进的临床T-和N-类，新辅助治疗,开放程序，全胃切除术率，在验证队列中,中心的平均体积显著较高.在验证队列中，90DM的发生率也较高（5.6％）。原始队列（3.7%）。验证模型中的AUC为0.716。
结论：在临床实践中，用于预测接受有治愈性胃切除术的胃癌患者90DM风险的外部验证模型仍然与原始模型一样有用。
方法：选择来自欧洲GASTRODATA数据库的一组患者。人口统计,临床,并比较原始队列和验证队列中的治疗变量.使用随机森林模型的曲线下面积(AUC)评估模型的性能。
结果：验证队列包括来自24家欧洲医院的2546名患者。先进的临床T-和N-类，新辅助治疗,开放程序，全胃切除术率，在验证队列中,中心的平均体积显著较高.在验证队列中，90DM的发生率也较高（5.6％）。原始队列（3.7%）。验证模型中的AUC为0.716。
结论：在临床实践中，用于预测接受有治愈性胃切除术的胃癌患者90DM风险的外部验证模型仍然与原始模型一样有用。
