Department of General Surgery, The Second Affiliated Hospital of Nanchang University, Nanchang, China.
Department of General Surgery, The First Affiliated Hospital of Anhui Medical University, Hefei, China.
Scand J Gastroenterol. 2024 Jan-Jun;59(1):52-61. doi: 10.1080/00365521.2023.2250497. Epub 2023 Aug 26.
The aim of this study was to develop and externally validate a nomogram to accurately predict the overall survival (OS) of patients with gastric adenocarcinoma who underwent radical gastrectomy.
A total of 3492 patients with gastric adenocarcinoma who underwent radical gastrectomy from 2012 to 2017 were included as the training cohort. Survival analysis was performed Kaplan Meier method and log-rank test. Independent postoperative prognostic factors in patients with gastric adenocarcinoma were analyzed using univariate and multifactorial COX analysis methods. The prognosis nomogram was established in the training cohort and verified externally in the Surveillance, Epidemiology and End Results (SEER) database.
According to the univariate and multifactorial COX analyses, metastatic lymph node ratio (MLNR) and five other independent prognostic factors (age at surgery, type of gastrectomy, tumor size, T stage, and pathological grade) were included in the prognostic nomogram. The nomogram had better prognostic predictive ability than the American Joint Committee on Cancer (AJCC) TNM staging in both the training (C-index: 0.736 VS. 0.668) and external validation cohort (C-index: 0.712 VS. 0.627). The calibration plots showed that the predicted survival rate was in good agreement with the actual survival rate. And the decision curve analysis (DCA) curves revealed that nomogram showed stronger ability in predicting 1-year, 3-year, and 5-year OS.
This study estimated the excellent prognostic predictive power and clinical application potential of the MLNR-based nomogram, which may be used to facilitate postoperative clinical treatment decisions and potentially improve patient survival outcomes.
本研究旨在开发并外部验证一个列线图,以准确预测接受根治性胃切除术的胃腺癌患者的总生存期(OS)。
共纳入 2012 年至 2017 年间接受根治性胃切除术的 3492 例胃腺癌患者作为训练队列。采用 Kaplan-Meier 方法和对数秩检验进行生存分析。采用单因素和多因素 COX 分析方法分析胃腺癌患者术后独立预后因素。在训练队列中建立预后列线图,并在 Surveillance, Epidemiology and End Results(SEER)数据库中进行外部验证。
根据单因素和多因素 COX 分析,转移淋巴结比率(MLNR)和另外 5 个独立的预后因素(手术时年龄、胃切除术类型、肿瘤大小、T 分期和病理分级)被纳入预后列线图。该列线图在训练队列(C 指数:0.736 VS. 0.668)和外部验证队列(C 指数:0.712 VS. 0.627)中的预后预测能力均优于美国癌症联合委员会(AJCC)TNM 分期。校准图显示预测生存率与实际生存率吻合良好。决策曲线分析(DCA)曲线表明,列线图在预测 1 年、3 年和 5 年 OS 方面具有更强的能力。
本研究评估了基于 MLNR 的列线图优异的预后预测能力和临床应用潜力,可能有助于术后临床治疗决策,并有可能改善患者的生存结局。