ReviewInnere Medizin (Heidelberg, Germany)2025
[Update on the pathophysiology, prediction and prevention of inflammatory bowel diseases].
Review in Innere Medizin (Heidelberg, Germany), 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
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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.
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Authors and funding
2 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundThe pathophysiology of inflammatory bowel diseases is not fully understood. In a staged model by the European Crohn's and Colitis Organization (ECCO) regarding disease development, it is assumed that there is a population at risk for manifestation of disease following subtle changes over time.
objectiveThis work aims to summarize the current state of knowledge regarding the pathophysiology, prediction and prevention of chronic inflammatory bowel diseases. MATERIALS AND
methodsSelective literature research via PubMed.
resultsSeveral genetic, biochemical, and microbiome scores have the potential to identify individuals at increased risk of developing inflammatory bowel disease, possibly up to a decade before onset. DISCUSSION: The growing knowledge regarding the pathogenesis of inflammatory bowel diseases makes prediction before disease onset a possible future diagnostic goal. Hypothetically, early changes before the disease manifests could be reversible and may be amenable to prevention programs.
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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.