Individual-level data from the Florida Cancer Data System (1981–2007) were analyzed to explore temporal trends of prostate cancer late-stage diagnosis, and how they vary based on race, income and age. Annual census-tract rates were computed for two races (white and black) and two age categories (40–65, >65) before being aggregated according to census tract median household incomes. Joinpoint regression and a new disparity statistic were applied to model temporal trends and detect potential racial and socio-economic differences. Multi-dimensional scaling was used as an innovative way to visualize similarities among temporal trends in a 2-D space. Analysis of time-series indicated that late-stage diagnosis was generally more prevalent among blacks, for age category 40–64 compared to older patients covered by Medicare, and among classes of lower socio-economic status. Joinpoint regression also showed that the rate of decline in late-stage diagnosis was similar among older patients. For younger patients, the decline occurred at a faster pace for blacks with rates becoming similar to whites in the late 1990s, in particular for higher incomes. Both races displayed distinct spatial patterns with higher rates of late-stage diagnosis in the Florida Panhandle for whites whereas high rates clustered in South-eastern Florida for blacks.

分析了佛罗里达癌症数据系统（1981-2007）的个人水平数据，以探索前列腺癌晚期诊断的时间趋势，以及它们如何根据种族，收入和年龄而变化。在根据人口普查家庭中位数收入进行汇总之前，针对两个种族（白人和黑人）和两个年龄段（40-65岁，> 65岁）计算了年度人口普查率。连接点回归和新的差异统计数据被用于模拟时间趋势并检测潜在的种族和社会经济差异。多维缩放被用作一种创新的方式来可视化二维空间中时间趋势之间的相似性。时间序列分析表明，与Medicare承保的老年患者相比，年龄在40-64岁的黑人中，晚期诊断通常在黑人中更为普遍，以及社会经济地位较低的阶层。Joinpoint回归还显示，老年患者的晚期诊断下降率相似。对于年轻的患者，黑人的下降速度更快，在1990年代后期，比率与白人相似，特别是收入较高的黑人。两种种族都表现出截然不同的空间格局，在佛罗里达州的Panhandle地区，白人的后期诊断率较高，而在佛罗里达州东南部的黑人则较高。