How socioeconomic and clinical factors impact prostate-cancer-specific and other-cause mortality in prostate cancer stratified by clinical stage: Competing-risk analysis.

The Prostate Pub Date : 2022-03-01 Epub Date: 2021-12-20 DOI:10.1002/pros.24287
Hairong He, Didi Han, Fengshuo Xu, Jun Lyu
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引用次数: 1

Abstract

Background: The aim of this study was to analyze the causes of death and risk factors of prostate-cancer-specific mortality (PCSM) and other-cause mortality (OCM) at different clinical stages using data from the Surveillance, Epidemiology, and End Results database.

Methods: The characteristics and cause-specific death classifications of males with prostate cancer (PCa) were extracted. Multivariate competing-risk regression analysis was used to identify significant predictors and quantify the cumulative incidence of PCSM and OCM at different clinical stages.

Results: Of the 244,433 PCa patients who were included, 19,274 died from 7356 PCSM, and 11,918 from OCM. The proportion of PCSM gradually increased from 2010 to 2016. The risk factors for PCSM in the localized PCa stage included older age, not being married, living in a county with higher poverty rates, and higher PSA levels and Gleason scores. Meanwhile, Medicaid and lower education levels were the additional risk factors of OCM. The risk factors for PCSM in the regional PCa stage included older age, not being married, Medicaid, living in a county with higher poverty rates, and higher PSA levels and Gleason scores. Meanwhile, the income level did not affect OCM risk. The risk factors for PCSM in the distant metastatic PCa stage included a separated/divorced/widowed marital status, Medicaid, and higher PSA levels and Gleason scores. Meanwhile, older age, an unmarried or separated/divorced/widowed marital status, and higher PSA levels were risk factors for OCM. In addition, receiving both surgery and radiation was worse than just receiving surgery for PCa specific survival in localized and regional PCa patients.

Conclusion: Some pretreatment and treatment factors may influence OCM that are not identical to those for PCSM at the corresponding stage. Decision-makers and managers should fully consider OCM to maximize treatment benefits for PCa.

社会经济和临床因素如何影响按临床分期分层的前列腺癌特异性和其他原因死亡率:竞争风险分析
背景:本研究的目的是利用来自监测、流行病学和最终结果数据库的数据,分析不同临床阶段前列腺癌特异性死亡率(PCSM)和其他原因死亡率(OCM)的死亡原因和危险因素。方法:提取男性前列腺癌(PCa)的特点及死因分类。采用多变量竞争风险回归分析确定显著预测因素,量化不同临床阶段PCSM和OCM的累积发病率。结果:在纳入的244,433例PCa患者中,19,274例死于7356例PCSM, 11,918例死于OCM。从2010年到2016年,PCSM的比例逐渐上升。局部PCa阶段PCSM的危险因素包括年龄较大、未婚、居住在贫困率较高的县、PSA水平和Gleason评分较高。同时,医疗补助和低教育水平是OCM的附加危险因素。区域前列腺癌阶段PCSM的危险因素包括年龄较大、未婚、医疗补助、居住在贫困率较高的县、PSA水平和Gleason评分较高。同时,收入水平对OCM风险没有影响。远处转移性前列腺癌阶段PCSM的危险因素包括分居/离婚/丧偶的婚姻状况、医疗补助、较高的PSA水平和Gleason评分。年龄较大、未婚或分居/离婚/丧偶的婚姻状况、较高的PSA水平是OCM的危险因素。此外,在局部和局部PCa患者中,同时接受手术和放疗比单纯接受手术更不利于PCa的特异性生存。结论:影响OCM的前处理和治疗因素在相应阶段与PCSM不同。决策者和管理者应充分考虑OCM,使PCa的治疗效益最大化。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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