4.6 Article

The generalizability of NCI-sponsored clinical trials accrual among women with gynecologic malignancies

Journal

GYNECOLOGIC ONCOLOGY
Volume 143, Issue 3, Pages 611-616

Publisher

ACADEMIC PRESS INC ELSEVIER SCIENCE
DOI: 10.1016/j.ygyno.2016.09.026

Keywords

Clinical trials; Disparities; SEER

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Objectives. Enrollment of a representative population to cancer clinical trials ensures scientific reliability and generalizability of results. This study evaluated the similarity of patients enrolled in NCI-supported group gynecologic cancer trials to the incident US population. Methods. Accrual to NCI-sponsored ovarian, uterine, and cervical cancer treatment trials between 2003 and 2012 were examined. Race, ethnicity, age, and insurance status were compared to the analogous US patient population estimated using adjusted SEER incidence data. Results. There were 18,913 accruals to 156 NCI-sponsored gynecologic cancer treatment trials, ovarian (56%), uterine (32%), and cervical cancers (12%). Ovarian cancer trials included the least racial, ethnic and age diversity. Black women were notably underrepresented in ovarian trials (4% versus 11%). Hispanic patients were underrepresented in ovarian and uterine trials (4% and 5% versus 18% and 19%, respectively), but not in cervical cancer trials (14 versus 11%). Elderly patients were underrepresented in each disease area, with the greatest underrepresentation seen in ovarian cancer patients over the age of 75 (7% versus 29%). Privately insured women were overrepresented among accrued ovarian cancer patients (87% versus 76%), and the uninsured were overrepresented among women with uterine or cervical cancers. These patterns did not change over time. Conclusions. Several notable differences were observed between the patients accrued to NCI funded trials and the incident population. Improving representation of racial and ethnic minorities and elderly patients on cancer clinical trials continues to be a challenge and priority. (C) 2016 Elsevier Inc. All rights reserved.

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