Sachin J Shah, Christopher R Manz, Brendan Balthis, Hari S Raman, Jason Abaluck, Nancy L Keating, Leila Agha
{"title":"The Role of Regional and Practice Trial Sites in Distorted Randomized Cancer Trial Enrollment.","authors":"Sachin J Shah, Christopher R Manz, Brendan Balthis, Hari S Raman, Jason Abaluck, Nancy L Keating, Leila Agha","doi":"10.1101/2025.02.24.25322776","DOIUrl":null,"url":null,"abstract":"<p><p>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.</p>","PeriodicalId":94281,"journal":{"name":"medRxiv : the preprint server for health sciences","volume":" ","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2025-02-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11888505/pdf/","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"medRxiv : the preprint server for health sciences","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1101/2025.02.24.25322776","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
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.