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Monitoring the decreasing trend of testicular cancer mortality in Spain during 2005-2019 through a Bayesian approach

机译:通过贝叶斯方法监测西班牙2005-2019年睾丸癌死亡率下降趋势

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摘要

Purpose: To assess time trends of testicular cancer (TC) mortality in Spain for period 1985-2019 for age groups 15-74 years old through a Bayesian age-period-cohort (APC) analysis. Methods: A Bayesian age-drift model has been fitted to describe trends. Projections for 2005-2019 have been calculated by means of an autoregressive APC model. Prior precision for these parameters has been selected through evaluation of an adaptive precision parameter and 95% credible intervals (95% CRI) have been obtained for each model parameter. Results: A decrease of -2.41% (95% CRI: -3.65%; -1.13%) per year has been found for TC mortality rates in age groups 15-74 during 1985-2004, whereas mortality showed a lower annual decrease when data was restricted to age groups 15-54 (-1.18%; 95% CRI: -2.60%; -0.31%). During 2005-2019 is expected a decrease of TC mortality of 2.30% per year for men younger than 35, whereas a leveling off for TC mortality rates is expected for men older than 35. Conclusions: A Bayesian approach should be recommended to describe and project time trends for those diseases with low number of cases. Through this model it has been assessed that management of TC and advances in therapy led to decreasing trend of TC mortality during the period 1985-2004, whereas a leveling off for these trends can be considered during 2005-2019 among men older than 35.
机译:目的:通过贝叶斯年龄组(APC)分析评估西班牙1985-2019年期间15-74岁年龄组的睾丸癌(TC)死亡率的时间趋势。方法:已经建立了贝叶斯年龄漂移模型来描述趋势。 2005-2019年的预测是通过自回归APC模型计算得出的。通过评估自适应精度参数选择了这些参数的先验精度,并为每个模型参数获得了95%的可信区间(95%CRI)。结果:在1985-2004年期间,发现15-74岁年龄段的TC死亡率每年下降-2.41%(95%CRI:-3.65%;-1.13%),而数据显示死亡率每年下降的幅度较小仅适用于15-54岁年龄段(-1.18%; 95%CRI:-2.60%;-0.31%)。在2005-2019年期间,预计35岁以下男性的TC死亡率每年将降低2.30%,而35岁以上男性的TC死亡率预计将趋于平稳。结论:建议采用贝叶斯方法进行描述和预测病例数少的那些疾病的时间趋势。通过该模型,已经评估了TC的管理和治疗的进步导致1985-2004年期间TC死亡率下降的趋势,而在2005-2019年期间,可以考虑将这些趋势的水平稳定在35岁以上的男性中。

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