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本文引用的文献

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Artificial intelligence-assisted esophageal cancer management: Now and future.人工智能辅助的食管癌管理:现状与未来。
World J Gastroenterol. 2020 Sep 21;26(35):5256-5271. doi: 10.3748/wjg.v26.i35.5256.
2
Stage II-III colon cancer: a comparison of survival calculators.II-III期结肠癌:生存计算器的比较
J Gastrointest Oncol. 2018 Dec;9(6):1091-1098. doi: 10.21037/jgo.2018.08.03.
3
Determining Overall Survival and Risk Factors in Esophageal Cancer Using Censored Quantile Regression.使用删失分位数回归法确定食管癌的总生存期和风险因素
Asian Pac J Cancer Prev. 2018 Nov 29;19(11):3081-3086. doi: 10.31557/APJCP.2018.19.11.3081.
4
A nomogram to predict long-time survival for patients with M1 diseases of esophageal cancer.一种预测食管癌M1期患者长期生存的列线图。
J Cancer. 2018 Oct 11;9(21):3986-3990. doi: 10.7150/jca.27579. eCollection 2018.
5
A Novel Nomogram and Risk Classification System Predicting the Cancer-Specific Survival of Patients with Initially Diagnosed Metastatic Esophageal Cancer: A SEER-Based Study.一种基于 SEER 的预测初诊转移性食管癌患者癌症特异性生存的新型列线图和风险分类系统。
Ann Surg Oncol. 2019 Feb;26(2):321-328. doi: 10.1245/s10434-018-6929-0. Epub 2018 Oct 24.
6
Nomogram predicts survival benefit for non- metastatic esophageal cancer patients who underwent preoperative radiotherapy.列线图可预测接受术前放疗的非转移性食管癌患者的生存获益。
Cancer Manag Res. 2018 Sep 18;10:3657-3668. doi: 10.2147/CMAR.S165168. eCollection 2018.
7
Nomograms to predict survival rates for esophageal cancer patients with malignant behaviors based on ICD-0-3.基于 ICD-0-3 的恶性行为食管癌患者生存率预测列线图
Future Oncol. 2019 Jan;15(2):121-132. doi: 10.2217/fon-2018-0493. Epub 2018 Sep 20.
8
Prognostic factors in esophageal cancer treated with curative intent.根治性治疗食管癌的预后因素。
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Survival prediction tools for esophageal and gastroesophageal junction cancer: A systematic review.食管癌和胃食管交界癌的生存预测工具:系统评价。
J Thorac Cardiovasc Surg. 2018 Aug;156(2):847-856. doi: 10.1016/j.jtcvs.2018.03.146. Epub 2018 Apr 12.
10
Complete pathologic response is independent of the timing of esophagectomy following neoadjuvant chemoradiation for esophageal cancer.对于食管癌,新辅助放化疗后完全病理缓解与食管切除术的时机无关。
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I-III期食管癌的预后模型:现有计算器之间的比较。

Prognostic models for stage I-III esophageal cancer: a comparison between existing calculators.

作者信息

Lemini Riccardo, Díaz Vico Tamara, Trumbull Denslow A, Attwood Kristopher, Spaulding Aaron C, Elli Enrique F, Colibaseanu Dorin T, Kukar Moshim, Gabriel Emmanuel

机构信息

Department of Surgery, Mayo Clinic, Jacksonville, FL, USA.

University of Florida, College of Medicine, Gainesville, FL, USA.

出版信息

J Gastrointest Oncol. 2021 Oct;12(5):1963-1972. doi: 10.21037/jgo-20-337.

DOI:10.21037/jgo-20-337
PMID:34790364
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC8576235/
Abstract

BACKGROUND

Determining the best approach for esophageal cancer and predicting accurate prognosis are critical. Multiple studies evaluated characteristics associated with overall survival, and several prediction models have been developed. This study aimed to evaluate existing models and perform external validation of selected models.

METHODS

A retrospective investigation of a multi-site institutional enterprise for patients with a diagnosis of esophageal cancer between 2013-2014 was performed. Selected survival prediction models included the Roswell Park Comprehensive Cancer Center (RPCCC) calculator, Oregon Health & Science University (OHSU) calculator, and two nomograms published by Shapiro and Sun One-year overall survival, level of agreement, and performance for each model were evaluated.

RESULTS

A total of 104 patients were included and used to assess the prediction models. One-year overall survival was 0.76. Different calculators tended to rank patients similarly; however, they did not agree on predicted overall survival. The least disparity in correlation was observed between OHSU and Shapiro calculators. Shapiro's model achieved the highest performance [area under the curve (AUC) =0.63].

CONCLUSIONS

Selected models showed fair results in estimating individual overall survival, although none achieved a high performance. While these tools may support the decision-making process for esophageal cancer patients, their implementation in clinical practice requires improved refinement to optimize their clinical utility.

摘要

背景

确定食管癌的最佳治疗方法并准确预测预后至关重要。多项研究评估了与总生存期相关的特征,并开发了几种预测模型。本研究旨在评估现有模型并对选定模型进行外部验证。

方法

对2013年至2014年间诊断为食管癌的患者进行了一项多机构企业的回顾性调查。选定的生存预测模型包括罗斯韦尔帕克综合癌症中心(RPCCC)计算器、俄勒冈健康与科学大学(OHSU)计算器,以及夏皮罗和孙发表的两个列线图。评估了每个模型的一年总生存期、一致性水平和性能。

结果

共纳入104例患者用于评估预测模型。一年总生存期为0.76。不同的计算器对患者的排名往往相似;然而,它们在预测的总生存期上并不一致。在OHSU和夏皮罗计算器之间观察到的相关性差异最小。夏皮罗的模型表现最佳[曲线下面积(AUC)=0.63]。

结论

选定的模型在估计个体总生存期方面显示出尚可的结果,尽管没有一个模型表现出色。虽然这些工具可能支持食管癌患者的决策过程,但在临床实践中实施它们需要进一步改进以优化其临床效用。