The Role of Regional and Practice Trial Sites in Non-Representative Randomized Cancer Trial Enrollment

Sachin J Shah, Christopher R Manz, Brendan Balthis, Hari S Raman, Jason Abaluck, Nancy L Keating, Leila Agha
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Abstract

Representative trials are critical to advancing cancer treatment, yet little is known about how geographic siting contributes to non-representative enrollment. Using patient-level data, we determined how the choice of trial-enrolling regions and practices impacts representativeness. We created a SEER-Medicare cohort of people ≥65 years old with lung, breast, pancreatic, or renal cancer (2014-2019). We identified randomized cancer drug trial participants and determined the prevalence of age ≥75, sex, race, ethnicity, and rural residence in the full cohort, trial-enrolling regions, trial-enrolling practices, and trials. The choice of region and practice contributed to > 50% of the under-enrollment of Black, Hispanic, and rural patients. Cancer trials enrolled 45% fewer Black patients than expected with proportional representation. Trial recruitment in regions and practices with proportionately fewer Black patients accounted for 27% and 35% of this disparity, respectively. These findings suggest that diversifying cancer trials requires changing the regions and practices referring and enrolling patients.
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区域和实践试验地点在非代表性随机癌症试验登记中的作用
代表性试验对推进癌症治疗至关重要,但地理位置对非代表性纳入的影响尚不清楚。使用患者水平的数据,我们确定了试验入组地区和实践的选择如何影响代表性。我们创建了一个≥65岁肺癌、乳腺癌、胰腺癌或肾癌患者的SEER-Medicare队列(2014-2019)。我们确定了随机的癌症药物试验参与者,并确定了年龄≥75岁、性别、种族、民族和农村居民在全队列、试验入组地区、试验入组实践和试验中的患病率。地区和实践的选择促成了&;gt;50%的黑人,西班牙裔和农村患者未登记。癌症试验招募的黑人患者比比例代表制预期的少45%。在黑人患者比例较少的地区和实践中,试验招募分别占这一差异的27%和35%。这些发现表明,多样化的癌症试验需要改变地区和做法,转诊和招募患者。
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