Department of Surgical, Oncological and Gastroenterological Sciences (DiSCOG), First Surgical Clinic, University of Padua, Padua, Italy.
Unit of Biostatistics, Epidemiology, and Public Health, Department of Cardiac, Thoracic, and Vascular Sciences, University of Padua, Padua, Italy.
J Visc Surg. 2022 Dec;159(6):471-479. doi: 10.1016/j.jviscsurg.2021.09.001. Epub 2021 Nov 15.
Nomograms have been proposed to assess prognosis following curative surgery for gastric cancer. The objective of the current study was to evaluate the performance of the Gastric Cancer Collaborative Group nomograms developed in 2014 by Kim et al., using a cohort of patients from a 10-year single institution experience in gastric cancer management.
We retrospectively reviewed patients who underwent curative-intent surgery for histologically confirmed gastric cancer at First Surgical Clinic of Padua University Hospital (Italy) from January 2010 to May 2020. Univariable and multivariable Cox proportional hazard models were employed to assess the effect of the variables of interest on mortality and recurrence. Multivariable analysis was performed by considering the variables included in the Gastric Cancer Collaborative Group nomograms in order to validate them. The performance of the nomograms was evaluated using Harrell's C-index and calibration plots.
Overall, 168 patients were included, with a median follow-up of 20.1 months. On multivariable analysis, tumor location, lymph node ratio, and pathological T stage were associated with recurrence; age, tumor location, lymph node ratio, and pT stage were associated with OS (overall survival). The nomograms had good discriminatory capability to classify both OS (C-index: 0.75) and DFS (disease-free survival) (C-index 0.72). The corrected C-Index for DFS based on the AJCC staging system revealed better prediction (C-Index 0.75), while the corrected C-Index for OS had worse discrimination ability compared with the current nomogram (C-Index 0.72).
The Gastric Cancer Collaborative Group nomograms demonstrated good performances in terms of prediction of both OS and DFS on external validation. The two nomograms are easy to apply, and variables included are widely available to most facilities.
已经提出了列线图来评估胃癌根治性手术后的预后。本研究的目的是使用来自意大利帕多瓦大学医院(First Surgical Clinic of Padua University Hospital) 10 年胃癌管理经验的患者队列,评估 Kim 等人 2014 年开发的胃癌协作组列线图的性能。
我们回顾性分析了 2010 年 1 月至 2020 年 5 月期间在意大利帕多瓦大学医院 First Surgical Clinic 接受根治性手术治疗的组织学证实为胃癌的患者。使用单变量和多变量 Cox 比例风险模型评估感兴趣变量对死亡率和复发的影响。通过考虑胃癌协作组列线图中包含的变量进行多变量分析,以验证它们。使用 Harrell's C 指数和校准图评估列线图的性能。
共有 168 例患者入组,中位随访时间为 20.1 个月。多变量分析显示,肿瘤位置、淋巴结比率和病理 T 分期与复发相关;年龄、肿瘤位置、淋巴结比率和 pT 分期与 OS(总生存)相关。该列线图在分类 OS(C 指数:0.75)和 DFS(无病生存)(C 指数 0.72)方面具有良好的区分能力。基于 AJCC 分期系统的校正 DFS 的 C 指数显示出更好的预测(C 指数 0.75),而校正 OS 的 C 指数与当前列线图相比,其区分能力较差(C 指数 0.72)。
胃癌协作组列线图在外部验证中表现出了良好的 OS 和 DFS 预测性能。这两个列线图易于应用,且包含的变量在大多数医疗机构中广泛可用。