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Patient Enrollment per Month (Accrual) in Clinical Trials Leading to the FDA Approval of New Cancer Drugs
Daniel Tobias Michaeli1, Thomas Michaeli2,3,4, Sebastian Albers5
1Department of Medical Oncology, National Center for Tumor Diseases, Heidelberg University Hospital, Im Neuenheimer Feld 460, 69120, Heidelberg, Germany. danielmichaeli@yahoo.com.
Background:
Insufficient patient enrollment per month (=accrual) is the leading cause of cancer trial termination.
Objective:
To identify and quantify factors associated with patient accrual in trials leading to the US Food and Drug Administration (FDA) approval of new cancer drugs.
Data:
All anti-cancer drugs with FDA approval were identified in the Drugs@FDA database (2000-2022). Data on drug indication's background-, treatment-, disease-, and trial-related factors were collected from FDA labels, clinicaltrials.gov, and the Global Burden of Disease study. The association between patient accrual and collected variables was assessed in Poisson regression models reporting adjusted rate ratios (aRR).
Results:
We identified 170 drugs with approval in 455 cancer indications on the basis of 292 randomized and 163 single-arm trials. Among randomized trials, median enrollment per month was 38 patients (interquartile range [IQR]: 26-54) for non-orphan, 21 (IQR: 15-38, aRR 0.88, p = 0.361) for common orphan, 20 (IQR: 10-35, aRR 0.73, p <0.001) for rare orphan, and 8 (IQR 6-12, aRR 0.30, p < 0.001) for ultra-rare orphan indications. Patient enrollment was positively associated with disease burden [aRR: 1.0003 per disability-adjusted life year (DALY), p < 0.001), trial sites (aRR: 1.001 per site, p < 0.001), participating countries (aRR: 1.02 per country, p < 0.001), and phase 3 vs. 1/2 trials (aRR: 1.64, p = 0.037). Enrollment was negatively associated with advanced-line vs. first-line treatments (aRR: 0.81, p = 0.010) and monotherapy vs. combination treatments (aRR: 0.80, p = 0.007). Patient enrollment per month was similar between indications with and without a biomarker (median: 27 vs. 32, aRR 0.80, p = 0.117). Patient enrollment per month was substantially lower in government-sponsored than industry-sponsored trials (median: 14 vs. 32, aRR 0.80, p = 0.209). Enrollment was not associated with randomization ratios, crossover, and study blinding.
Conclusions:
Disease incidence and disease burden alongside the number of study sites and participating countries are the main drivers of patient enrollment in clinical trials. For rare disease trials, greater financial incentives could help expedite patient enrollment. Novel trial design features, including skewed randomization, crossover, or open-label masking, did not entice patient enrollment.
Insights
Patient accrual in cancer trials is driven by disease burden, trial sites, and countries. Rare disease trials need financial incentives for faster patient enrollment. Novel trial designs did not improve patient recruitment.
Area of Science:
- Oncology
- Clinical Trial Design
- Drug Development
Background:
- Insufficient patient enrollment (accrual) is a primary reason for cancer clinical trial termination.
- Understanding factors influencing accrual is crucial for successful drug development.
Purpose of the Study:
- To identify and quantify factors associated with patient accrual in cancer trials.
- To analyze factors influencing trials leading to US Food and Drug Administration (FDA) approval of new cancer drugs.
Main Methods:
- Utilized the Drugs@FDA database (2000-2022) to identify FDA-approved anti-cancer drugs.
- Collected data on drug indication, background, treatment, disease, and trial characteristics from FDA labels, clinicaltrials.gov, and Global Burden of Disease study.
- Employed Poisson regression models to assess the association between patient accrual and various factors, reporting adjusted rate ratios (aRR).
Main Results:
- Identified 170 drugs across 455 cancer indications from 455 trials (292 randomized, 163 single-arm).
- Disease burden, number of trial sites, participating countries, and Phase 3 vs. Phase 1/2 trials positively correlated with patient enrollment.
- Advanced-line treatments and monotherapy treatments showed negative associations with patient enrollment.
- Enrollment was similar for biomarker-positive vs. biomarker-negative indications and significantly lower in government-sponsored vs. industry-sponsored trials.
Conclusions:
- Disease incidence, burden, number of study sites, and participating countries are key drivers of patient enrollment.
- Financial incentives may be necessary to expedite patient enrollment in rare disease clinical trials.
- Novel trial design features like skewed randomization or crossover did not significantly enhance patient enrollment.
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