Temporal trends in oncology clinical trial complexity and duration: A retrospective analysis of 5,261 industry-sponsored trials.
Abstract
11018 Background: Clinical trial complexity has been cited as a contributor to rising drug development costs and increasing trial duration. We aimed to quantify multidimensional oncology trial complexity and describe temporal trends. Methods: We conducted a retrospective analysis of industry-sponsored interventional drug and biological oncology trials from the Aggregate Analysis of ClinicalTrials.gov (AACT) database, restricted to concluded trials initiated 2007-2017 for post-FDAAA reporting consistency and adequate follow-up. Five complexity dimensions were derived using principal component analysis: protocol (eligibility criteria, arms, outcomes), operational (sites, countries, planned enrollment), disease (MeSH breadth), intervention (modality count), and governance (team structure). Temporal trends were analyzed across completed trials only; Pearson correlations between dimensions and duration/early termination were calculated across all concluded trials. Trends were estimated using linear regression on yearly medians stratified by phase. Results: Among 6,752 concluded oncology trials (78% completion rate), temporal trends were analyzed in the 5,261 completed trials. Protocol complexity significantly increased (+0.083 SD/year), driven by total eligibility criteria (+0.56/year), secondary outcomes (+0.35/year), and exclusion criteria (+0.35/year). Operational complexity showed a significant increasing trend (+0.014 SD/year), with facilities increasing +0.51/year. Overall trial duration significantly increased (+16.7 days/year), with Phase 1 trials increasing +18.2 days/year and Phase 2 trials +18.4 days/year, while Phase 3 trials showed a non-significant trend (+20.7 days/year). Across all trials, protocol complexity was weakly correlated with early termination (r=0.03) and duration (r=0.14). Operational complexity showed the strongest correlation with duration (r=0.36). Conclusions: Among concluded oncology trials, protocol and operational complexity are significantly increasing, particularly eligibility criteria burden, endpoint multiplicity, and study scale. Trial duration is significantly increasing for early-phase trials, driven primarily by operational complexity. Operational and protocol trends in oncology trials. Metric (median) 2007 Value 2017 Value Slope/Year P-value Total I/E Criteria 15 22 +0.56 <0.001 Secondary Outcomes 4 7 +0.35 <0.001 Exclusion Criteria 8 12 +0.35 <0.001 Inclusion Criteria 6 9 +0.22 <0.001 Total Outcomes 8 11 +0.30 <0.001 Number of Sites 6 12 +0.51 <0.001 Phase 1 Duration (days) 1080.5 1220 +18.2 0.010 Phase 2 Duration (days) 1249 1347 +18.4 0.028 Phase 3 Duration (days) 1583 1673 +20.7 0.214 Overall Duration (days) 1247 1378 +16.7 0.006 Observed medians are reported for 2007 and 2017. Slopes and p-values were derived from linear regression on yearly medians.
Article Details
Journal Info
Journal of Clinical Oncology
Lippincott Williams & Wilkins
Authors (5)
Andrew J. Yang
The Warren Alpert Medical School of Brown University, Providence, RI
Michael Sheen
The Warren Alpert Medical School of Brown University, Providence, RI
Taemin Kim
Department of Chemistry
Henry Wei
Regeneron Pharmaceuticals, Tarrytown, NY
Jeremy Lyle Warner
Legorreta Cancer Center at Brown University, Providence, RI