Racial disparities in prostate cancer mortality: a model-based decomposition of contributing factors.

Roman Gulati, Yaw A Nyame, Jane M Lange, Jonathan E Shoag, Alex Tsodikov, Ruth Etzioni
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Abstract

To investigate the relative contributions of natural history and clinical interventions to racial disparities in prostate cancer mortality in the United States, we extended a model that was previously calibrated to Surveillance, Epidemiology, and End Results (SEER) incidence rates for the general population and for Black men. The extended model integrated SEER data on curative treatment frequencies and cancer-specific survival. Starting with the model for all men, we replaced up to 9 components with corresponding components for Black men, projecting age-standardized mortality rates for ages 40-84 years at each step. Based on projections in 2019, the increased frequency of developing disease, more aggressive tumor features, and worse cancer-specific survival in Black men diagnosed at local-regional and distant stages explained 38%, 34%, 22%, and 8% of the modeled disparity in mortality. Our results point to intensified screening and improved care in Black men as priority areas to achieve greater equity.

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前列腺癌症死亡率的种族差异:基于模型的促成因素分解。
为了调查自然病史和临床干预对美国前列腺癌症死亡率种族差异的相对贡献,我们扩展了一个模型,该模型之前已校准为普通人群和黑人男性的监测、流行病学和最终结果(SEER)发病率。扩展模型综合了SEER关于治疗频率和癌症特异性生存率的数据。从所有男性的模型开始,我们用黑人男性的相应成分替换了多达9个成分,预测了40-84岁的年龄标准化死亡率 年。根据2019年的预测,在局部区域和远处阶段诊断的黑人男性中,疾病发生频率增加、肿瘤特征更具侵袭性以及癌症特异性生存率更差,解释了38%、34%、22%和8%的死亡率模型差异。我们的研究结果表明,加强对黑人男性的筛查和改善护理是实现更大公平的优先领域。
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