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Modifying the Clinical Research Infrastructure at a Dedicated Clinical Trials Unit: Assessment of Trial Development, Activation, and Participant Accrual.

ABSTRACT: Purpose: Information on processes for trials assessing investigational therapeutics is sparse. We assessed the trial development processes within the Department of Investigational Cancer Therapeutics (ICT) at MD Anderson Cancer Center (Houston, TX) and analyzed their effects on the trial activation timeline and enrolment.Experimental Design: Data were from a prospectively maintained registry that tracks all clinical studies at MD Anderson. From this database, we identified 2,261 activated phase I-III trials; 221 were done at the ICT. ICT trials were matched to trials from other MD Anderson departments by phase, sponsorship, and submission year. Trial performance metrics were compared with paired Wilcoxon signed rank tests.Results: We identified three facets of the ICT research infrastructure: parallel processing of trial approval steps; a physician-led research team; and regular weekly meetings to foster research accountability. Separate analyses were conducted stratified by sponsorship [industry (133 ICT and 133 non-ICT trials) or institutional (68 ICT and 68 non-ICT trials)]. ICT trial development was faster from IRB approval to activation (median difference of 1.1 months for industry-sponsored trials vs. 2.3 months for institutional) and from activation to first enrolment (median difference of 0.3 months for industry vs. 1.2 months for institutional; all matched P < 0.05). ICT trials also accrued more patients (median difference of 8 participants for industry vs. 33.5 for institutional) quicker (median difference 4.8 participants/year for industry vs. 11.1 for institutional; all matched P < 0.05).Conclusions: Use of a clinical research-focused infrastructure within a large academic cancer center was associated with efficient trial development and participant accrual. Clin Cancer Res; 23(6); 1407-13. ©2016 AACR.

SUBMITTER: Tang C

PROVIDER: S-EPMC5872813 | biostudies-literature | 2017 Mar

REPOSITORIES: biostudies-literature

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Modifying the Clinical Research Infrastructure at a Dedicated Clinical Trials Unit: Assessment of Trial Development, Activation, and Participant Accrual.

Tang Chad C Hess Kenneth R KR Sanders Dwana D Davis Suzanne E SE Buzdar Aman U AU Kurzrock Razelle R Lee J Jack JJ Meric-Bernstam Funda F Hong David S DS

Clinical cancer research : an official journal of the American Association for Cancer Research 20161116 6

<b>Purpose:</b> Information on processes for trials assessing investigational therapeutics is sparse. We assessed the trial development processes within the Department of Investigational Cancer Therapeutics (ICT) at MD Anderson Cancer Center (Houston, TX) and analyzed their effects on the trial activation timeline and enrolment.<b>Experimental Design:</b> Data were from a prospectively maintained registry that tracks all clinical studies at MD Anderson. From this database, we identified 2,261 ac ...[more]

PMID: 27852698

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Project description:BACKGROUND: Poor accrual is a significant barrier to the successful completion of oncology clinical trials; half of all phase 3 oncology trials close due to insufficient accrual. Timely access to accrual data fosters an understanding of successful trial design and can be used to inform the design of new clinical trials prospectively. Accrual statistics are available within research networks, such as the cancer cooperative groups, but comprehensive data reflecting the overall portfolio of cancer clinical trials are lacking. As a demonstration case, the purpose of this study was to quantify the public availability of accrual data across all recent renal cell carcinoma (RCC) trials. METHODS: The database for the Aggregate Analysis of ClinicalTrials.gov (AACT) summarizes all trials registered between October 2007 and September 2010. In total, 108 trials of pharmacologic therapy for RCC were included. Accrual data on these trials were gathered via ClinicalTrials.gov (CTG), a manual review of resulting publications, and online surveys sent to principle investigators or trial coordinators. RESULTS: In total, 26% (20 of 76) of trials listing a government, academic, or cooperative group (GAC) sponsor responded to the survey vs 0% (0 of 32) of those listing only industry sponsors. Across all methods, accrual data were available for only 40% (43 of 108) of trials, including 37% (28 of 76) of GAC trials and 47% (15 of 32) of industry trials. Moreover, 87% (66 of 76) of GAC trials were ongoing (open, actively recruiting, or of unknown status) vs 75% (24 of 32) of industry trials, while 9% (10 of 108) of trials were terminated or suspended. CONCLUSIONS: Despite extensive efforts (surveys, phone calls, CTG abstraction, publication searches), accurate accrual data remained inaccessible for 60% of the RCC trial cohort. While CTG reports trial results, ongoing accrual data are also critically needed. Poor access to accrual data will continue to limit attempts to develop a national summary of clinical trials metrics and to optimize the cancer clinical research portfolio.

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Modifying the Clinical Research Infrastructure at a Dedicated Clinical Trials Unit: Assessment of Trial Development, Activation, and Participant Accrual.

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Modifying the Clinical Research Infrastructure at a Dedicated Clinical Trials Unit: Assessment of Trial Development, Activation, and Participant Accrual.

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