Wang Tianyi, Banerjee Ambily, Gifkins Dina
Johnson & Johnson, Raritan, NJ, USA.
Janssen Cilag, Windsor, UK.
Future Sci OA. 2025 Dec;11(1):2563483. doi: 10.1080/20565623.2025.2563483. Epub 2025 Sep 22.
The recruitment of underrepresented racial and ethnic groups in clinical trials remains a challenge.
The ClinicalTrials.gov database was queried for phase III trials related to non-Hodgkin lymphoma (NHL), leukemia, and multiple myeloma (MM). A reference population was sourced from the Surveillance, Epidemiology, and End Results (SEER) database.
A total of 53,821 pooled participants from 119 phase III trials were included in the analyses. Race and ethnicity data were reported in 95.8% and 81.5% of trials, respectively. Globally, the majority of participants were predominantly White (77.3%), followed by Asian (8.2%), Black/African American (5.4%), American Indian/Alaska Native (0.4%), and Native Hawaiian/Other Pacific Islander (0.2%), while Hispanic/Latino individuals constituted 11.0% of trial participants. In comparison to data in SEER, the proportions were lower for Asian/Pacific Islander and Hispanic/Latino across all cancers, and for Black/African American and American Indian/Alaska Native in leukemia and MM in US only trials.
Despite progress, reporting and representation of non-White population remain insufficient in trials. Innovative strategies to enhance representation in trial enrollment are warranted, as well as the utilization of real-world data to establish recruitment goals by more effectively assessing the demographic and geographic distribution of target patient populations.
在临床试验中招募代表性不足的种族和族裔群体仍然是一项挑战。
在ClinicalTrials.gov数据库中查询与非霍奇金淋巴瘤(NHL)、白血病和多发性骨髓瘤(MM)相关的III期试验。参考人群来自监测、流行病学和最终结果(SEER)数据库。
分析纳入了来自119项III期试验的总共53821名汇总参与者。分别有95.8%和81.5%的试验报告了种族和族裔数据。在全球范围内,大多数参与者主要是白人(77.3%),其次是亚洲人(8.2%)、黑人/非裔美国人(5.4%)、美洲印第安人/阿拉斯加原住民(0.4%)和夏威夷原住民/其他太平洋岛民(0.2%),而西班牙裔/拉丁裔个体占试验参与者的11.0%。与SEER数据相比,在所有癌症中,亚洲/太平洋岛民和西班牙裔/拉丁裔的比例较低,在美国仅针对白血病和MM的试验中,黑人/非裔美国人和美洲印第安人/阿拉斯加原住民的比例也较低。
尽管取得了进展,但在试验中,非白人人群的报告和代表性仍然不足。有必要采取创新策略来提高试验入组的代表性,以及利用真实世界数据,通过更有效地评估目标患者人群的人口统计学和地理分布来确定招募目标。