Disparities in supportive care breast cancer clinical trial enrollment.
e13786 Background: Supportive care clinical trials (CTs) are crucial for improving breast cancer (BC) survivorship, yet the representation of diverse demographic groups is insufficiently characterized. Methods: We conducted a systematic review of supportive care BC CTs registered on ClinicalTrials.gov with enrollment in the United States from 1/2010 to 9/2022. We excluded CTs that limited enrollment to specific demographic groups. One-sample proportion tests were used to assess racial, ethnic, and age representation across trials and by intervention and funding type using incidence data from the SEER registry. Results: A search of 2695 CTs identified 173 supportive care BC CTs. Of these, 128 (74%) reported race data, 99 (57%) reported ethnicity data, and 30 (17%) reported age data and were included. Demographic data across trials overall and by intervention and funding type are summarized in the table. Black (10.5% vs 11.6%, p < 0.001), Asian (4.3% vs 7.1%, p < 0.001), Hispanic (7.5% vs 12.7%, p < 0.001), and older adults (age > 65; 26.4% vs 44.4%, p < 0.001) were underrepresented across CTs overall. Asian, Hispanic, and older adults were underrepresented across all intervention subtypes and academic trials (p < 0.001). Hispanic and older adults were least represented in sexual health CTs. Black, Hispanic, and older adults were underrepresented in industry trials (p < 0.001). Conclusions: Black, Asian, Hispanic, and older adults are underrepresented in supportive care BC CTs, with adequate representation in only a minority of CT intervention/funding subtypes. Enhancing CT representation is necessary to improve health equity and generalizability of CTs. Black n(%) p-value (95% CI) Asian n(%) p-value (95% CI) Hispanic n(%) p-value (95% CI) Older adult n(%) p-value (95% CI) Overall 1764 (10.5%) <0.001 (0.10, 0.11) 716 (4.3%) <0.001 (0.04, 0.05) 1044 (7.5%) <0.001 (0.07, 0.08) 1134 (26.4%) <0.001 (0.25, 0.28) Diet and/or physical activity 471 (14.2%) <0.001 (0.13, 0.15) 41 (1.2%) <0.001 (0.01, 0.02) 226 (9.1%) <0.001 (0.08, 0.10) 5 (13.2%) <0.001 (0.05, 0.29) Symptom management 648 (8.6%) <0.001 (0.08, 0.09) 482 (6.4%) 0.011 (0.06, 0.07) 488 (7.8%) <0.001 (0.07, 0.08) 853 (27.5%) <0.001 (0.26, 0.29) Psycho-oncology 65 (7.2%) <0.001 (0.06, 0.09) 32 (3.5%) <0.001 (0.02, 0.05) 43 (6.3%) <0.001 (0.05, 0.08) 47 (21.2%) <0.001 (0.16, 0.27) CAM 137 (11.9%) 0.763 (0.10, 0.14) 46 (4.0%) <0.001 (0.03, 0.05) 81 (9.6%) 0.007 (0.08, 0.12) 13 (25.5%) 0.010 (0.15, 0.40) Education/Communication 373 (11.8%) 0.832 (0.11, 0.13) 79 (2.5%) <0.001 (0.02, 0.03) 177 (5.8%) <0.001 (0.05, 0.07) 216 (24.5%) <0.001 (0.22, 0.27) </ja
Authors
- Kevin Reyes (ORCID: https://orcid.org/0000-0003-3708-444X)
- Felicia Tang (ORCID: https://orcid.org/0000-0002-7104-6255)
- Ana I. Velazquez Mañana
- Evelin Trejo (ORCID: https://orcid.org/0000-0003-4885-5182)
- Kathleen Cui
- Kian Ngiap Chua (ORCID: https://orcid.org/0000-0002-2622-0605)
- B P Gardner
- B. Lau
Institutions
- University of California, San Francisco (US)
Publication Details
- Journal
- Journal of Clinical Oncology
- Published
- 2025-05-28
- DOI
- https://doi.org/10.1200/jco.2025.43.16_suppl.e13786
- Primary Topic
- Economic and Financial Impacts of Cancer
- Type
- article
- Field-Weighted Citation Impact
- 0.00