ReviewInternal medicine (Tokyo, Japan)2026
Recent Advances in Molecular Targeted Therapy for Inflammatory Bowel Disease.
Review in Internal medicine (Tokyo, Japan), 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.
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.
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.
Who cites it
1 citing paper in PubMed.
- Rescue Vedolizumab Therapy for a Rare Case of Complicated Severe Ulcerative Colitis: A Case Report and Literature Review.Journal of clinical medicine · 2026Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
3 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Progress in the development of molecular-targeted therapies in the field of inflammatory bowel disease has been remarkable. With the advent of molecular-targeted agents, treatment strategies have changed, and higher-level treatment goals have been set. In terms of the long-term prognosis of inflammatory bowel disease, there has been a clear decline in the rate of surgery since 2000 when anti-tumor necrosis factor antibody preparations were introduced. However, a large number of molecular-targeted agents with diverse modes of action have appeared, and their positioning has become complicated and often confusing for clinicians. Furthermore, these agents are expensive and therefore present economic challenges. The selection of therapeutic agents for inflammatory bowel disease based on the mode of action and prediction of treatment effects continues to be a major issue, and it is hoped that artificial intelligence and machine learning will help resolve these problems.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
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.