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巴雷特食管的准确癌症发病率:利用已发表数据和模型的最佳估计值

An Accurate Cancer Incidence in Barrett's Esophagus: A Best Estimate Using Published Data and Modeling.

作者信息

Kroep Sonja, Lansdorp-Vogelaar Iris, Rubenstein Joel H, de Koning Harry J, Meester Reinier, Inadomi John M, van Ballegooijen Marjolein

机构信息

Department of Public Health, Erasmus Medical Center University, Rotterdam, The Netherlands.

Department of Public Health, Erasmus Medical Center University, Rotterdam, The Netherlands.

出版信息

Gastroenterology. 2015 Sep;149(3):577-85.e4; quiz e14-5. doi: 10.1053/j.gastro.2015.04.045. Epub 2015 Apr 29.

Abstract

BACKGROUND & AIMS: Published estimates for the rate of progression from Barrett's esophagus (BE) to esophageal adenocarcinoma (EAC) vary. We used simulation modeling to reconcile published data and more accurately estimate the incidence of EAC among people with BE.

METHODS

We calibrated the ERASMUS/UW model (a collaboration between Erasmus Medical Center, Rotterdam, the Netherlands and the University of Washington, Seattle) for EAC to match the 0.18% annual rate of progression from population-based studies. This model was then used to simulate the design of prospective studies, introducing more endoscopic surveillance. We used the model to predict rates of progression for both types of studies and for different periods of follow-up, and compared the predicted rates with published data.

RESULTS

For the first 5 years of follow-up, the model reproduced the 0.19% mean annual rate of progression observed in population-based studies; the same disease model predicted a 0.36% annual rate of progression in studies with a prospective design (0.41% reported in published articles). After 20 years, these rates each increased to 0.63% to 0.65% annually, corresponding with a 9.1% to 9.5% cumulative cancer incidence. Between these periods, the difference between the progression rates of both study designs decreased from 91% to 5%.

CONCLUSIONS

In the first 5 years after diagnosis, the rate of progression from BE to EAC is likely to more closely approximate the lower estimates reported from population-based studies than the higher estimates reported from prospective studies in which EAC is detected by surveillance. Clinicians should use this information to explain to patients their short-term and long-term risks if no action is taken, and then discuss the risks and benefits of surveillance.

摘要

背景与目的

已发表的关于巴雷特食管(BE)进展为食管腺癌(EAC)的发生率估计值各不相同。我们使用模拟模型来整合已发表的数据,并更准确地估计BE患者中EAC的发病率。

方法

我们对EAC的伊拉斯谟/华盛顿大学模型(荷兰鹿特丹伊拉斯谟医学中心与美国西雅图华盛顿大学的合作成果)进行校准,使其与基于人群研究的0.18%的年进展率相匹配。然后使用该模型模拟前瞻性研究的设计,增加内镜监测。我们用该模型预测两种研究类型以及不同随访期的进展率,并将预测率与已发表数据进行比较。

结果

在随访的前5年,该模型再现了基于人群研究中观察到的0.19%的年均进展率;相同的疾病模型预测前瞻性设计研究中的年进展率为0.36%(已发表文章中报道为0.41%)。20年后,这些率均增至每年0.63%至0.65%,对应累积癌症发病率为9.1%至9.5%。在这两个时期之间,两种研究设计进展率的差异从91%降至5%。

结论

在诊断后的前5年,从BE进展为EAC的发生率可能更接近基于人群研究报告的较低估计值,而不是通过监测发现EAC的前瞻性研究报告的较高估计值。临床医生应利用这些信息向患者解释如果不采取行动他们的短期和长期风险,然后讨论监测的风险和益处。

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