Evidence map›Paper›PMID 38778181›Full record

ReviewNature reviews. Drug discovery2024

Navigating the complexities of drug development for inflammatory bowel disease.

Sailish Honap, Vipul Jairath, Silvio Danese, Laurent Peyrin-Biroulet

Abstract readReview
PubMed Publisher
In one paragraph

Review in Nature reviews. Drug discovery, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 48 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
48citing papers in PubMed, 1 pooled it
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

48 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Trial
  3. Article
  4. Article
  5. Review
  6. Review
  7. Review
  8. Article
  9. ACY-1215 ameliorates experimental colitis by inhibiting dendritic cell maturation and Th1/Th17 responses.Inflammation research : official journal of the European Histamine Research Society ... [et al.] · 2026
    Article
  10. Review
  11. Article
  12. Exome sequencing directly implicates 68 genes in inflammatory bowel disease.medRxiv : the preprint server for health sciences · 2026
    Article
  13. Review
  14. Review
  15. Review
  16. Article
  17. Review
  18. Article
  19. Review
  20. Review
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

4 authors.

Sailish HonapDepartment of Gastroenterology, St George's University Hospitals NHS Foundation Trust, London, UK. shonap@nhs.net.ORCID http://orcid.org/0000-0001-6657-2763
Vipul JairathDivision of Gastroenterology, Department of Medicine, Schulich School of Medicine, Western University, London, Ontario, Canada.
Silvio DaneseDepartment of Gastroenterology and Endoscopy, IRCCS San Raffaele Hospital, Vita-Salute San Raffaele University, Milan, Italy.
Laurent Peyrin-BirouletINFINY Institute, Nancy University Hospital, Vandœuvre-lès-Nancy, France. peyrinbiroulet@gmail.com.ORCID http://orcid.org/0000-0003-2536-6618

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Inflammatory bowel disease (IBD) - consisting of ulcerative colitis and Crohn's disease - is a complex, heterogeneous, immune-mediated inflammatory condition with a multifactorial aetiopathogenesis. Despite therapeutic advances in this arena, a ceiling effect has been reached with both single-agent monoclonal antibodies and advanced small molecules. Therefore, there is a need to identify novel targets, and the development of companion biomarkers to select responders is vital. In this Perspective, we examine how advances in machine learning and tissue engineering could be used at the preclinical stage where attrition rates are high. For novel agents reaching clinical trials, we explore factors decelerating progression, particularly the decline in IBD trial recruitment, and assess how innovative approaches such as reconfiguring trial designs, harmonizing end points and incorporating digital technologies into clinical trials can address this. Harnessing opportunities at each stage of the drug development process may allow for incremental gains towards more effective therapies.

Indexed as

Drug DevelopmentInflammatory Bowel DiseasesAnimalsBiomarkersClinical Trials as TopicColitis, UlcerativeCrohn DiseaseHumansMachine LearningBiomarkers

Identifiers

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.