GATIS score for predicting the prognosis of rectal neuroendocrine neoplasms: A Chinese multicenter study of 12-year experience

IF 5.5 3区 材料科学 Q2 CHEMISTRY, PHYSICAL ACS Applied Energy Materials Pub Date : 2024-07-28 DOI:10.3748/wjg.v30.i28.3403
Xin-Yu Zeng, Ming Zhong, Guo-Le Lin, Cheng-Guo Li, Wei-Zhong Jiang, Wei Zhang, Li-Jian Xia, Maojun Di, Hongxue Wu, Xiaofeng Liao, Yueming Sun, Minhao Yu, Kai-Xiong Tao, Yong Li, Rui Zhang, Peng Zhang
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Abstract

BACKGROUND There is currently a shortage of accurate, efficient, and precise predictive instruments for rectal neuroendocrine neoplasms (NENs). AIM To develop a predictive model for individuals with rectal NENs (R-NENs) using data from a large cohort. METHODS Data from patients with primary R-NENs were retrospectively collected from 17 large-scale referral medical centers in China. Random forest and Cox proportional hazard models were used to identify the risk factors for overall survival and progression-free survival, and two nomograms were constructed. RESULTS A total of 1408 patients with R-NENs were included. Tumor grade, T stage, tumor size, age, and a prognostic nutritional index were important risk factors for prognosis. The GATIS score was calculated based on these five indicators. For overall survival prediction, the respective C-indexes in the training set were 0.915 (95% confidence interval: 0.866-0.964) for overall survival prediction and 0.908 (95% confidence interval: 0.872-0.944) for progression-free survival prediction. According to decision curve analysis, net benefit of the GATIS score was higher than that of a single factor. The time-dependent area under the receiver operating characteristic curve showed that the predictive power of the GATIS score was higher than that of the TNM stage and pathological grade at all time periods. CONCLUSION The GATIS score had a good predictive effect on the prognosis of patients with R-NENs, with efficacy superior to that of the World Health Organization grade and TNM stage.
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预测直肠神经内分泌肿瘤预后的 GATIS 评分:一项为期 12 年的中国多中心研究
背景 目前缺乏准确、高效和精确的直肠神经内分泌肿瘤(NENs)预测工具。目的 利用大型队列数据开发直肠神经内分泌肿瘤(R-NENs)患者的预测模型。方法 回顾性收集中国 17 家大型转诊医疗中心的原发性直肠腺瘤患者数据。采用随机森林模型和 Cox 比例危险模型确定总生存期和无进展生存期的危险因素,并绘制了两个提名图。结果 共纳入1408例R-NENs患者。肿瘤分级、T分期、肿瘤大小、年龄和预后营养指数是影响预后的重要风险因素。根据这五个指标计算出 GATIS 评分。在总生存预测方面,训练集中的C指数分别为0.915(95%置信区间:0.866-0.964)和0.908(95%置信区间:0.872-0.944)。根据决策曲线分析,GATIS评分的净获益高于单一因素的净获益。与时间相关的接收者操作特征曲线下面积显示,在所有时间段内,GATIS 评分的预测能力均高于 TNM 分期和病理分级。结论 GATIS评分对R-NENs患者的预后具有良好的预测效果,其疗效优于世界卫生组织分级和TNM分期。
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来源期刊
ACS Applied Energy Materials
ACS Applied Energy Materials Materials Science-Materials Chemistry
CiteScore
10.30
自引率
6.20%
发文量
1368
期刊介绍: ACS Applied Energy Materials is an interdisciplinary journal publishing original research covering all aspects of materials, engineering, chemistry, physics and biology relevant to energy conversion and storage. The journal is devoted to reports of new and original experimental and theoretical research of an applied nature that integrate knowledge in the areas of materials, engineering, physics, bioscience, and chemistry into important energy applications.
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