Suppr超能文献

美国结直肠癌手术后复发风险预测:癌症委员会国家研究的专门分析。

Predicting Risk of Recurrence After Colorectal Cancer Surgery in the United States: An Analysis of a Special Commission on Cancer National Study.

机构信息

Department of Surgical Oncology, MD Anderson Cancer Center, Houston, TX, USA.

Departments of Surgery and Public Health, Brody School of Medicine, East Carolina University, Greenville, NC, USA.

出版信息

Ann Surg Oncol. 2020 Aug;27(8):2740-2749. doi: 10.1245/s10434-020-08238-7. Epub 2020 Feb 20.

Abstract

BACKGROUND

Several factors can affect the risk of recurrence after curative resection of colorectal cancer (CRC). We aimed to develop a risk model for recurrence after definitive treatment of Stage I-III CRC using data from a nationally representative database and to develop an individualized web-based risk calculator.

METHODS

A random sample of patients who underwent resection for Stage I-III CRC between 2006 and 2007 at Commission on Cancer (CoC) accredited centers were included. Primary data regarding first recurrence was abstracted from medical records and merged with the National Cancer Database. Multivariable cox regression analysis was used to test for factors associated with cancer recurrence, stratified by stage. Model performance was tested by c statistic and calibration plots. Hazard Ratios were utilized to develop an individualized web-based recurrence prediction tool.

RESULTS

A total of 8249 patients from 1175 CoC centers were included. Of these, 1656 (20.1%) patients had a recurrence during 5 years of follow-up. Median time to recurrence was 16 months. The final predictive models displayed excellent discrimination and calibration with concordance indexes of 0.7. The online calculator included 12 variables, including tumor site, stage, time since surgery, and surveillance intensity. Output is displayed numerically and graphically with an icon array.

CONCLUSIONS

Using primarily abstracted recurrence data from a random sample of patients treated for CRC at CoC accredited centers across the United States, we successfully created an individualized CRC recurrence risk assessment tool. This web-based calculator can be used by physicians and patients in shared decision making to guide management discussions.

TRIAL REGISTRATION

ClinicalTrials.gov Registration Number: NCT02217865.

摘要

背景

有几个因素会影响结直肠癌(CRC)根治性切除术后的复发风险。我们旨在使用来自全国代表性数据库的数据,为 I-III 期 CRC 的确定性治疗后复发开发一个风险模型,并开发一个个体化的网络风险计算器。

方法

纳入了 2006 年至 2007 年期间在癌症委员会(CoC)认证中心接受 I-III 期 CRC 切除术的患者的随机样本。从病历中提取有关首次复发的主要数据,并与国家癌症数据库合并。多变量 Cox 回归分析用于按阶段测试与癌症复发相关的因素。通过 C 统计量和校准图测试模型性能。利用危险比为个体化的网络复发预测工具。

结果

共纳入了来自 1175 个 CoC 中心的 8249 名患者。其中,1656 名(20.1%)患者在 5 年随访期间出现复发。中位复发时间为 16 个月。最终的预测模型显示出极好的区分度和校准度,一致性指数为 0.7。在线计算器包括 12 个变量,包括肿瘤部位、分期、手术时间和监测强度。输出以数字和图形显示,并带有图标数组。

结论

我们使用主要从美国 CoC 认证中心接受 CRC 治疗的患者随机样本中提取的复发数据,成功创建了一个个体化的 CRC 复发风险评估工具。这个基于网络的计算器可以由医生和患者在共同决策中使用,以指导管理讨论。

临床试验注册

ClinicalTrials.gov 注册号:NCT02217865。

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验