Abstract

BackgroundClinical trials are typically designed using the classical frequentist framework to constrain type I and II error rates. Sample sizes required in such designs typically range from hundreds to thousands of patients which can be challenging for rare diseases. It has been shown that rare disease trials have smaller sample sizes than non-rare disease trials. Indeed some orphan drugs were approved by the European Medicines Agency based on studies with as few as 12 patients. However, some studies supporting marketing authorisation included several hundred patients. In this work, we explore the relationship between disease prevalence and other factors and the size of interventional phase 2 and 3 rare disease trials conducted in the US and/or EU. We downloaded all clinical trials from Aggregate Analysis of ClinialTrials.gov (AACT) and identified rare disease trials by cross-referencing MeSH terms in AACT with the list from Orphadata. We examined the effects of prevalence and phase of study in a multiple linear regression model adjusting for other statistically significant trial characteristics.ResultsOf 186941 ClinicalTrials.gov trials only 1567 (0.8%) studied a single rare condition with prevalence information from Orphadata. There were 19 (1.2%) trials studying disease with prevalence <1/1,000,000, 126 (8.0%) trials with 1–9/1,000,000, 791 (50.5%) trials with 1–9/100,000 and 631 (40.3%) trials with 1–5/10,000. Of the 1567 trials, 1160 (74%) were phase 2 trials. The fitted mean sample size for the rarest disease (prevalence <1/1,000,000) in phase 2 trials was the lowest (mean, 15.7; 95% CI, 8.7–28.1) but were similar across all the other prevalence classes; mean, 26.2 (16.1–42.6), 33.8 (22.1–51.7) and 35.6 (23.3–54.3) for prevalence 1–9/1,000,000, 1–9/100,000 and 1–5/10,000, respectively. Fitted mean size of phase 3 trials of rarer diseases, <1/1,000,000 (19.2, 6.9–53.2) and 1–9/1,000,000 (33.1, 18.6–58.9), were similar to those in phase 2 but were statistically significant lower than the slightly less rare diseases, 1–9/100,000 (75.3, 48.2–117.6) and 1-5/10,000 (77.7, 49.6–121.8), trials.ConclusionsWe found that prevalence was associated with the size of phase 3 trials with trials of rarer diseases noticeably smaller than the less rare diseases trials where phase 3 rarer disease (prevalence <1/100,000) trials were more similar in size to those for phase 2 but were larger than those for phase 2 in the less rare disease (prevalence ≥1/100,000) trials.

Highlights

  • Clinical trials are typically designed using the classical frequentist framework to constrain type I and II error rates

  • In this paper we examine the association between the disease prevalence and sample size for clinical trials in rare diseases allowing for other factors, extending the work of Bell and Tudur Smith but without comparison between non-rare and rare disease trials

  • The inventory of rare disease in Orphanet is updated on a regular basis and the prevalence and other information of the diseases are based on published scientific articles

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Summary

Introduction

Clinical trials are typically designed using the classical frequentist framework to constrain type I and II error rates. This is equivalent to 62 people in 100,000 in 2015 [1] In such circumstances, one may still be able to design a randomised controlled trial (RCT) based on the classical frequentist framework where, for example, the sample size for a two sample t-test with a 0.05 two-sided type I error rate and 0.90 power to detect a standardized effect size of 0.20 is 1052. Deviation from the perceived gold standard RCT is uncommon This statement is supported by Buckley [4], who presented a short summary of clinical trials of drugs for rare diseases approved by the European regulator between 2001 and 2007. Some of these studies had as few as 12 patients and some several hundreds. The marketing authorisation of sorafenib tosilate for renal cell and hepatocellular carcinomas was supported by one phase III renal trial with 903 patients and one phase III hepatic trial with 602 patients

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