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首页> 外文期刊>Cancer epidemiology, biomarkers and prevention: A publication of the American Association for Cancer Research >Development of an empirically calibrated model of gastric cancer in two high-risk countries.
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Development of an empirically calibrated model of gastric cancer in two high-risk countries.

机译:在两个高风险国家中建立了根据经验校正的胃癌模型。

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Although epidemiologic studies have established the relationship between Helicobacter pylori and gastric cancer and promising results that H. pylori treatment can reduce cancer incidence among individuals without preexisting precancerous lesions, there is no consensus on whether screening for H. pylori should be conducted. Our objective was to synthesize the available data to develop and empirically calibrate a mathematical model of gastric cancer and H. pylori in China and Colombia that could be used to provide qualitative insight into the benefits and cost-effectiveness of primary and secondary gastric cancer prevention strategies. The model represents the natural history of noncardia intestinal type gastric adenocarcinomas as a sequence of transitions among health states (e.g., normal gastric mucosa, chronic nonatrophic gastritis, gastric atrophy, intestinal metaplasia, dysplasia, and gastric cancer) stratified by H. pylori status. Initial plausible ranges for each parameter were established using data from published literature. A likelihood-based empirical calibration approach was used to identify multiple good-fitting parameter sets that were consistent with epidemiologic data. We then used these parameter sets to estimate a range of likely outcomes associated with H. pylori screening. This modeling approach allows for parameter uncertainty surrounding the natural history of H. pylori and gastric cancer to be reflected in the results of comparative analyses of different gastric cancer prevention strategies. As better data become available, the model can be refined and recalibrated, and, as such, be used as an iterative tool to assess the likely health and economic outcomes associated with gastric cancer prevention strategies.
机译:尽管流行病学研究已经建立了幽门螺杆菌与胃癌之间的关系,并且有希望的结果表明幽门螺杆菌的治疗可以降低没有癌症前期病变的个体中的癌症发生率,但是对于是否应该进行幽门螺杆菌筛查尚无共识。我们的目标是合成现有数据,以开发和经验性地校正中国和哥伦比亚的胃癌和幽门螺杆菌的数学模型,这些模型可用于对一级和二级胃癌预防策略的益处和成本效益提供定性见解。 。该模型将非心脏型肠型胃腺癌的自然病史表示为根据幽门螺杆菌状态分层的健康状态(例如正常胃粘膜,慢性非萎缩性胃炎,胃萎缩,肠化生,异型增生和胃癌)之间的一系列转变。使用公开文献中的数据确定每个参数的初始合理范围。基于可能性的经验校准方法被用来识别与流行病学数据一致的多个良好拟合参数集。然后,我们使用这些参数集来估计与幽门螺杆菌筛查相关的可能结果范围。这种建模方法允许围绕幽门螺杆菌和胃癌自然史的参数不确定性反映在不同胃癌预防策略的比较分析结果中。随着获得更好的数据,可以对模型进行完善和重新校准,因此可以用作评估与胃癌预防策略相关的健康和经济结果的迭代工具。

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