BACKGROUND: Patient participation in well-designed and conducted clinical trials enables researchers to test new therapies. An understanding of the variables that possibly influence patient enrollment may help in patient recruitment for future trials. The authors evaluated factors that influenced patient enrollment in clinical trials using a prospective, large, multi-institutional registry of patients with malignant glioma. METHODS: Data were examined from 708 patients who underwent first or second surgery for a malignant glioma who were enrolled in the Glioma Outcomes Project, which is a prospective observational data base that captures clinical practice patterns. The frequency of clinical trial participation and the variables that may have been associated with trial participation were evaluated. These variables included age, gender, race, household income, educational level, first versus second craniotomy, histology, and whether the patient was treated at an academic institution. RESULTS: One hundred fifty-one of 708 patients (21.3%) participated in a clinical trial, which was higher than the participation reported typically for patients with other types of primary malignancies. In univariate analysis, race, histology, and first craniotomy were significant between the two groups, with Caucasian patients and patients with glioblastoma histology showing higher participation rates. In a multivariate logistic regression model, significant predictors included young age and glioblastoma multiforme histology. CONCLUSIONS: The authors present information on factors that may influence clinical trial participation among patients with malignant glioma and compare their data with information described previously on patients with other types of malignant disease. The percent of participation among the patients in the current study was greater than among patients with other primary tumor sites. Strategies should be implemented to improve recruitment to neuro-oncology trials, especially in elderly and minority populations.
BACKGROUND:Patient participation in well-designed and conducted clinical trials enables researchers to test new therapies. An understanding of the variables that possibly influence patient enrollment may help in patient recruitment for future trials. The authors evaluated factors that influenced patient enrollment in clinical trials using a prospective, large, multi-institutional registry of patients with malignant glioma. METHODS: Data were examined from 708 patients who underwent first or second surgery for a malignant glioma who were enrolled in the Glioma Outcomes Project, which is a prospective observational data base that captures clinical practice patterns. The frequency of clinical trial participation and the variables that may have been associated with trial participation were evaluated. These variables included age, gender, race, household income, educational level, first versus second craniotomy, histology, and whether the patient was treated at an academic institution. RESULTS: One hundred fifty-one of 708 patients (21.3%) participated in a clinical trial, which was higher than the participation reported typically for patients with other types of primary malignancies. In univariate analysis, race, histology, and first craniotomy were significant between the two groups, with Caucasian patients and patients with glioblastoma histology showing higher participation rates. In a multivariate logistic regression model, significant predictors included young age and glioblastoma multiforme histology. CONCLUSIONS: The authors present information on factors that may influence clinical trial participation among patients with malignant glioma and compare their data with information described previously on patients with other types of malignant disease. The percent of participation among the patients in the current study was greater than among patients with other primary tumor sites. Strategies should be implemented to improve recruitment to neuro-oncology trials, especially in elderly and minority populations.
Authors: Eudocia Q Lee; Ugonma N Chukwueke; Shawn L Hervey-Jumper; John F de Groot; Jose Pablo Leone; Terri S Armstrong; Susan M Chang; David Arons; Kathy Oliver; Kay Verble; Al Musella; Nicole Willmarth; Brian M Alexander; Amanda Bates; Lisa Doherty; Evanthia Galanis; Sarah Gaffey; Thomas Halkin; Bret E Friday; Maryam Fouladi; Nancy U Lin; David Macdonald; Minesh P Mehta; Marta Penas-Prado; Michael A Vogelbaum; Solmaz Sahebjam; David Sandak; Martin van den Bent; Michael Weller; David A Reardon; Patrick Y Wen Journal: Neuro Oncol Date: 2019-09-06 Impact factor: 12.300
Authors: Joseph M Unger; Dawn L Hershman; Kathy S Albain; Carol M Moinpour; Judith A Petersen; Kenda Burg; John J Crowley Journal: J Clin Oncol Date: 2013-01-07 Impact factor: 44.544
Authors: Karen A Stepan; Amy P Gonzalez; Vivian S Dorsey; Debra K Frye; Nita D Pyle; Regina F Smith; Terry A Throckmorton; Louise A Villejo; Scott B Cantor Journal: J Cancer Educ Date: 2011-03 Impact factor: 2.037
Authors: Sharon H Baik; Mariana Arevalo; Clement Gwede; Cathy D Meade; Paul B Jacobsen; Gwendolyn P Quinn; Kristen J Wells Journal: J Empir Res Hum Res Ethics Date: 2016-09-21 Impact factor: 1.742