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Bayesian prior elicitation on the efficacy of medical therapies in perianal fistulizing Crohn’s disease

Nurulamin M. Noor, Haiyan Zheng, Zhi Cao, Gianmarco Caruso, Corey Voller, Rachel Cooney, Shahida Din, Hannah Gordon, Klaartje B. Kok, James O. Lindsay, Gordon W. Moran, Kamal V. Patel, Shaji Sebastian, Tim Raine, Sreedhar Subramanian, Ailsa L. Hart, David S. Robertson, Miles Parkes

Research output: Contribution to journalArticlepeer-review

Abstract

Background & Aims: Robust evidence for most licensed Crohn’s disease therapies is lacking for perianal fistula outcomes due to a lack of dedicated clinical trials. This study aimed to use a Bayesian framework to determine the efficacy of medical therapies for perianal fistulizing Crohn’s disease (PFCD). 

Methods: A formal prior elicitation exercise was conducted by a group of 11 gastroenterologists and 5 statisticians. Consensus priors were developed leveraging both existing published data and clinical expertise, to determine one-year fistula remission rates for medical treatments with 5 different mechanisms of action (anti-TNF, anti-integrin, anti-IL-12/23, anti-IL-23, and JAK inhibitor). Consensus priors on efficacy of each treatment were determined relative to an elicited consensus prior for placebo control. 

Results: Consensus priors were obtained for the likelihood of fistula remission at 1 year. The prior mean, together with a 90% prior credible interval, of the one-year fistula remission rate was 0.22 (0.05, 0.46) for placebo, 0.58 (0.09, 0.96) for intravenous infliximab, 0.39 (0.06, 0.82) for adalimumab, 0.53 (0.09, 0.93) for subcutaneous infliximab, 0.24 (0.03, 0.60) for intravenous vedolizumab, 0.44 (0.05, 0.90) for upadacitinib, 0.34 (0.04, 0.77) for ustekinumab, and 0.36 (0.04, 0.82) for anti-IL-23 specific agents. Oral upadacitinib and subcutaneous infliximab demonstrated the highest probability for efficacy, alongside intravenous infliximab. 

Conclusions: We have conducted the first Bayesian prior elicitation exercise in inflammatory bowel disease. The generated priors could be used to enhance the design and analysis of clinical trials in PFCD by improving estimation of treatment efficacy, minimizing sample sizes, and potentially reducing the need for placebo control arms.

Original languageEnglish
Article numberjjag061
Number of pages13
JournalJournal of Crohn's and Colitis
Volume20
Issue number5
Early online date10 May 2026
DOIs
Publication statusPublished - 10 May 2026

Bibliographical note

Publisher Copyright:
© The Author(s) 2026. Published by Oxford University Press on behalf of European Crohn’s and Colitis Organisation. This is an Open Access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/), which permits unrestricted reuse, distribution, and reproduction in any medium, provided the original work is properly cited.

Data Availability Statement

All data on generated priors have been provided in this publication. For any additional data queries regarding please contact the corresponding author.

Funding

This study was funded by a grant from Wellcome administered by the Cambridge Academy of Therapeutic Sciences (WT-222062/ Z/20/Z). N.M.N. and M.P. are supported by the NIHR Cambridge Biomedical Research Centre (NIHR203312). The views expressed are those of the authors and not necessarily those of the NIHR or the Department of Health and Social Care. H.Z. is supported by Cancer Research United Kingdom (RCCCDF-May24/100001). D.S.R. is funded by the Medical Research Council (MC_ UU_00002/14 and MC_UU_00040/03).

FundersFunder number
The Wellcome TrustWT-222062/Z/20/Z
NIHR Cambridge Biomedical Research CentreNIHR203312
Cancer Research UKRCCCDF-May24/100001
Medical Research CouncilMC_UU_00002/14, MC_UU_00040/03

Keywords

  • Bayesian statistics
  • clinical trials
  • perianal fistulizing Crohn’s disease
  • PFCD
  • prior elicitation

ASJC Scopus subject areas

  • Gastroenterology

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