The role of the gut microbiota and the use of new therapies in Irritable Bowel Syndrome
Bibliographic record
Abstract
Introduction: Irritable bowel syndrome is a functional disorder of the gastrointestinal tract with a multifactorial nature of the disease. IBS affects 11% of the population, with the gut microbiota playing an important role in the pathophysiology. Purpose: The aim of this article is to present the course of irritable bowel syndrome, the role of the gut microbiota in pathophysiology, and new therapeutic approaches, including probiotics, based on the current state of knowledge. Conclusions: IBS is a syndrome whose exact pathophysiology is not fully understood. The state of the gut microbiota has a huge impact on the course of the disease, but also on the functioning of the whole body. New therapies currently in use, i.e. probiotics, are showing promising results, but more research is needed to find the golden mean to treat the disease. Methods: Data for the article were retrieved using PubMed setting the time descriptors to 2013-2023. Irritable bowel syndrome is one of the more common functional disorders of the gastrointestinal tract. It manifests as recurrent abdominal pain, discomfort and bloating accompanied by bowel movements without a direct underlying cause. From multicentre clinical studies, it is known that disorders of various mechanisms within the brain-gut axis, altered gastrointestinal motility and visceral hypersensitivity are the underlying causes. In addition, many scholars are of the opinion that disturbances in the gut microbiota play a key role in the pathogenesis of IBS.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.003 | 0.013 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.005 | 0.009 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.002 | 0.002 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.011 | 0.001 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".