Assessing the robustness of clinical trials regarding novel therapies in inflammatory bowel disease

Jieqi Zheng1, Pinwei Huang1,2, Li Li1

  • 1Department of Gastroenterology, The First Affiliated Hospital, Sun Yat-sen University, Guangzhou, 510080, P.R. China.

Abstract

Insights

Statistical robustness in inflammatory bowel disease (IBD) trials varies. Larger trials, biologics/small molecules, and positive primary outcomes show greater robustness, informing future research interpretations.

Area of Science:

  • Gastroenterology and Hepatology
  • Clinical Trial Methodology
  • Biostatistics

Background:

  • Randomized clinical trials (RCTs) for novel inflammatory bowel disease (IBD) therapies require statistical robustness assessment.
  • Quantifying the fragility of IBD clinical trial data and identifying influencing factors is crucial for reliable interpretation.

Purpose of the Study:

  • To evaluate the statistical robustness of RCTs for novel IBD therapies.
  • To identify specific study characteristics associated with enhanced robustness.

Main Methods:

  • Cross-sectional analysis of RCTs involving biologics, small-molecule inhibitors, fecal microbiota transplantation (FMT), and stem cell therapy (SCT).
  • Calculation of fragility index (FI) for binary outcomes and continuous fragility index (CFI) for continuous outcomes.
  • Correlation analysis and multiple linear regression to identify factors affecting robustness.

Main Results:

  • Median FI was 6 and median CFI was 14.8 across 129 trials.
  • Robustness (FI/CFI) was positively correlated with sample size, discontinuations, publication year, impact factor, and event percentage.
  • Biologics/small molecules and trials with primary outcomes showed significantly greater robustness compared to FMT/SCT and other outcomes.

Conclusions:

  • IBD RCTs demonstrate variable statistical robustness influenced by factors like treatment type, outcome definition, and study size.
  • Trials utilizing biologics or small molecules, reporting positive primary outcomes, and involving larger sample sizes exhibit superior robustness.
  • Consideration of statistical robustness is essential for accurate interpretation of efficacy in future IBD research.

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