Article Text
Abstract
Background Some have argued that pilot trials have little value for informing the expected effect size of a subsequent large trial. This study aims to empirically evaluate the roles of pilot trials in informing the effect and sample size estimates of a full-scale trial.
Methods We conducted a search in PubMed on 19 February 2022, for all pilot trials published between 2005 and 2018 and their subsequent full-scale trials. We analysed the agreement in results by comparing the direction and magnitude of the effect size in the pilot trial and full-scale trial. Logistic regression was used to explore whether a significant pilot trial and other characteristics were associated with a significant full-scale trial.
Results A total of 248 pairs of pilot and full-scale trials were analysed. Full-scale trials with a significant pilot trial were 2.72 times more likely to find a significant result for the primary efficacy outcome than those with a non-significant pilot trial (95% CI 1.52 to 4.86, p=0.001). The association remained significant irrespective of changes made to the trial design. In 73% of the pairs, the pilot trial produced a larger point estimate than the subsequent full-scale trial, but 87% of pairs had a 95% CI estimated by the pilot trial that covered the full-scale trial point estimate. Full-scale trials with a sample size estimated using the SD from the pilot trial were less likely to yield a significant result (OR=0.26, 95% CI 0.10 to 0.65, p=0.004).
Conclusion Pilot trials can provide strong signals on intervention efficacy. When determining the sample size for full-scale trials, using the CI bounds from the pilot trials instead of the point estimate may improve power estimation.
- randomized controlled trial
- pilot trial
- sample size calculation
- power calculation
- efficacy
- meta-epidemiological study
Data availability statement
Data are available upon reasonable request. The datasets generated during the current study are available from the corresponding author on reasonable request.
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- randomized controlled trial
- pilot trial
- sample size calculation
- power calculation
- efficacy
- meta-epidemiological study
Data availability statement
Data are available upon reasonable request. The datasets generated during the current study are available from the corresponding author on reasonable request.
Footnotes
Contributors XY and SE conceptualised and designed the study and lead the acquisition, analysis and interpretation of the data. KR significantly contributed to the data analysis and interpretation. XY composed the initial draft of the manuscript, with all authors commenting on subsequent drafts and contributing to its revision. All authors have given approval for the final version to be published and have agreed to be accountable for all aspects of the work. XY is the guarantor of this work and, as such, had full access to all the data in the study and take responsibility for the integrity and accuracy of the data and data analyses.
Funding This study is funded by the Mary B. Meyer Memorial Fund Scholarship (XY). The funding organisations had no role in the design and conduct of the study; collection, management, analysis and interpretation of the data; preparation, review or approval of the manuscript; and decision to submit the manuscript for publication.
Competing interests None declared.
Patient and public involvement Patients and/or the public were not involved in the design, or conduct, or reporting, or dissemination plans of this research.
Provenance and peer review Not commissioned; externally peer reviewed.
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