Evidence map›Paper›PMID 38404739›Full record

ArticlePragmatic and observational research2024

Drug Repurposing in Crohn's Disease Using Danish Real-World Data.

Saeed Shakibfar, Kristine H Allin, Tine Jess, Maria Antonietta Barbieri, Vera Battini, Eva Simoncic, Julien Kirchgesner, Trond Ulven, Maurizio Sessa

Open access · diamondAbstract read
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Article in Pragmatic and observational research, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
3.3field-weighted citation impact, top 9% of its field
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

4 citing papers in PubMed, 6 citations in OpenAlex.

  1. Review
  2. Article
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  4. 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

9 authors at 4 institutions in 3 countries.

Saeed ShakibfarDepartment of Drug Design and Pharmacology, University of Copenhagen, Copenhagen, Denmark.ORCID 0000-0001-8399-0318
Kristine H AllinCenter for Molecular Prediction of Inflammatory Bowel Disease (PREDICT), Department of Clinical Medicine, Aalborg University, Copenhagen, Denmark.ORCID 0000-0002-6880-5759
Tine JessCenter for Molecular Prediction of Inflammatory Bowel Disease (PREDICT), Department of Clinical Medicine, Aalborg University, Copenhagen, Denmark.
Maria Antonietta BarbieriDepartment of Drug Design and Pharmacology, University of Copenhagen, Copenhagen, Denmark.ORCID 0000-0002-2019-4696
Vera BattiniDepartment of Drug Design and Pharmacology, University of Copenhagen, Copenhagen, Denmark.ORCID 0000-0002-3513-9593
Eva SimoncicDepartment of Drug Design and Pharmacology, University of Copenhagen, Copenhagen, Denmark.
Julien KirchgesnerDepartment of Gastroenterology, INSERM, Institut Pierre Louis d'Epidémiologie Et de Santé Publique, AP-HP, Hôpital Saint-Antoine, Sorbonne Université, Paris, France.ORCID 0000-0002-2314-9284
Trond Ulven *Department of Drug Design and Pharmacology, University of Copenhagen, Copenhagen, Denmark.ORCID 0000-0002-8135-1755
Maurizio Sessa *Department of Drug Design and Pharmacology, University of Copenhagen, Copenhagen, Denmark.ORCID 0000-0003-0874-4744
University of Copenhagen · DKAalborg University · DKInserm · FRUniversity of Messina · IT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Aim: Drug repurposing, utilizing electronic healthcare records (EHRs), offers a promising alternative by repurposing existing drugs for new therapeutic indications, especially for patients lacking effective therapies. Intestinal fibrosis, a severe complication of Crohn's disease (CD), poses significant challenges, increasing morbidity and mortality without available pharmacological treatments. This article focuses on identifying medications associated with an elevated or reduced risk of fibrosis in CD patients through a population-wide real-world data and artificial intelligence (AI) approach. Methods: Patients aged 65 or older with a diagnosis of CD from 1996 to 2019 in the Danish EHRs were followed for up to 24 years. The primary outcome was the need of specific surgical procedures, namely proctocolectomy with ileostomy and ileocecal resection as proxies of intestinal fibrosis. The study explored drugs linked to an increased or reduced risk of the study outcome through machine-learning driven survival analysis. Results: Among the 9179 CD patients, 1029 (11.2%) underwent surgery, primarily men (58.5%), with a mean age of 76 years, 10 drugs were linked to an elevated risk of surgery for proctocolectomy with ileostomy and ileocecal resection. In contrast, 10 drugs were associated with a reduced risk of undergoing surgery for these conditions. Conclusion: This study focuses on repurposing existing drugs to prevent surgery related to intestinal fibrosis in CD patients, using Danish EHRs and advanced statistical methods. The findings offer valuable insights into potential treatments for this condition, addressing a critical unmet medical need. Further research and clinical trials are warranted to validate the effectiveness of these repurposed drugs in preventing surgery related to intestinal fibrosis in CD patients.

Indexed as

Crohn’s diseasedrug repurposinginflammatory bowel diseaseintestinal fibrosismachine-learningreal-world data

Identifiers

PMID38404739
PMCPMC10894518
OpenAlexW4392005170

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.