Division of Hematology and Oncology, Department of Medicine, University of Alabama at Birmingham, Birmingham, AL.
Genentech, San Francisco, CA.
JCO Oncol Pract. 2022 Nov;18(11):e1854-e1865. doi: 10.1200/OP.22.00359. Epub 2022 Sep 30.
Cancer clinical trials can benefit current and future patients; however, Black patients, rural residents, and patients living in disadvantaged areas are often underrepresented. Using an adapted version of Unger and colleagues' model of the process of clinical trial enrollment, we evaluated the relationship between underrepresented patient populations and trial end points.
This retrospective study included 512 patients with breast or ovarian cancer who were prescribed a therapeutic drug at the University of Alabama at Birmingham from January 2017 to February 2020. Patient eligibility was assessed using open clinical trials. We estimated odds ratios and 95% CIs using logistic regression models to examine the relationship between underrepresented patient populations and trial enrollment end points: eligibility, interest, offer, enrollment, and declining enrollment.
Of the patients in our sample, 27% were Black, 18% were rural residents, and 19% lived in higher disadvantaged neighborhoods. In adjusted models, each comparison group had similar odds of being eligible for a clinical trial. Black versus White patients had 0.40 times the odds of interest in clinical trials and 0.56 times the odds of enrollment. Patients living in areas of higher versus lower disadvantage had 0.46 times the odds of enrolling and 3.40 times the odds of declining enrollment when offered.
Eligibility did not drive clinical trial enrollment disparities in our sample; however, retention in the clinical trial enrollment process appears to vary by group. Additional work is needed to understand how interventions can be tailored to each population's specific needs.
癌症临床试验可以使当前和未来的患者受益;然而,黑人患者、农村居民和居住在不利地区的患者往往代表性不足。我们使用 Unger 及其同事的临床试验入组过程模型的改编版本,评估了代表性不足的患者群体与试验终点之间的关系。
本回顾性研究纳入了 2017 年 1 月至 2020 年 2 月在阿拉巴马大学伯明翰分校接受治疗性药物治疗的 512 例乳腺癌或卵巢癌患者。使用开放临床试验评估患者的入选资格。我们使用逻辑回归模型估计比值比和 95%置信区间,以检查代表性不足的患者群体与试验入组终点之间的关系:入选资格、兴趣、提供、入组和拒绝入组。
在我们的样本中,27%的患者为黑人,18%的患者为农村居民,19%的患者居住在较不利的社区。在调整后的模型中,每个比较组参与临床试验的可能性相似。与白人患者相比,黑人患者对临床试验的兴趣可能性低 0.40 倍,参与临床试验的可能性低 0.56 倍。与生活在较低劣势地区的患者相比,生活在较高劣势地区的患者入组的可能性低 0.46 倍,获得入组机会后拒绝入组的可能性高 3.40 倍。
在我们的样本中,入选资格并没有导致临床试验入组的差异;然而,在临床试验入组过程中的保留率似乎因群体而异。需要进一步的工作来了解如何根据每个群体的具体需求调整干预措施。