The Role of Dietary Fiber in Gastrointestinal Health: Focus on Irritable Bowel Syndrome and Diverticular Disease
Bibliographic record
Abstract
Dietary fiber (DF) encompasses a variety of plant-derived carbohydrates resistant to human digestive enzymes, significantly influencing gastrointestinal health. This study examines the role of DF in managing Irritable Bowel Syndrome (IBS) and Diverticular Disease (DD), utilizing comprehensive analysis from PubMed, Google Scholar, and Embase. IBS, affecting 10-20% globally, involves complex brain-gut interactions, motility issues, and microbiota changes. Soluble fiber like psyllium reduces IBS symptoms by improving stool consistency and regulating bowel movements. However, the role of DF in DD is more nuanced. While the reports on the impact on diverticulosis prevalence are contradictory, numerous moderate-quality studies confirmed the protective effect against recurrent diverticulitis and hospitalization. The effect of different fiber types on this matter was not widely explored which might explain the discordances between the studies. Further research is essential to fully understand the diverse effects of different types of DF on gastrointestinal (GI) health. This way, exhaustive guidelines specific to each fiber type and disease phenotype could be developed, allowing to tailor the dietary recommendations to each patient, optimizing the management of symptoms of IBS and DD, and improving the quality of life.
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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 | 0.001 | 0.003 |
| 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 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 0.000 |
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".