Low fermentable oligosaccharides, disaccharides, monosaccharides and polyols diet is associated with increased risk of uninvestigated chronic dyspepsia and its symptoms in adults
Bibliographic record
Abstract
BACKGROUND: Assessing the potential effects of a low fermentable oligosaccharides, disaccharides, monosaccharides and polyols (FODMAPs) diet on functional gastrointestinal symptoms, particularly upper gastrointestinal symptoms, is not clearly understood. The current study aimed to explore the association of a diet low in FODMAPs with uninvestigated chronic dyspepsia (UCD) and functional dyspeptic symptoms in a large population of Iranian adults. METHODS: This cross-sectional study was conducted on 2987 adults. Dietary FODMAPs intake estimated using a validated food-frequency questionnaire. UCD, early satiation, postprandial fullness and gastric pain were determined using a modified and validated version of the Rome III Questionnaire. RESULTS: After controlling for various confounders, consumption of a diet low in FODMAPs was associated with increased risk of UCD in the whole population (OR=1.85; 95% CI: 1.23-2.78; P=0.009) and women (OR=2.41; 95% CI: 1.46-3.95; P=0.004), but not in men. Higher consumption of a low-FODMAPs diet was related to increased risk of postprandial fullness (OR=1.38; 95% CI: 1.08-1.78; P=0.046). The inverse association between FODMAPs and epigastric pain tended to be significant after controlling for eating behaviors (OR=1.31; 95% CI: 0.98-1.76; P=0.084). No significant association was observed for early satiation. CONCLUSIONS: Our data suggest that consumption of a low-FODMAPs diet may increase the risk of UCD and postprandial fullness; however, well-planned randomized controlled trials and prospective cohorts are required to ascertain the effect of FODMAPs on upper gastrointestinal symptoms.
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How this classification was reachedexpand
Direct model labels (unvalidated)
Per-model category and study-design labels from the labeling rounds. They are machine output, unvalidated, and the disagreement between models ships as data. No study design here is MEDLINE-validated yet.
| Model arm | Categories | Study design | Confidence |
|---|---|---|---|
| gemma | no category Domain: not available · Genre: Empirical About the Canadian research system: no · About a Canadian topic: no | Observational | low |
| gpt | no category Domain: not available · Genre: Empirical About the Canadian research system: no · About a Canadian topic: no | Observational | high |
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 | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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, unvalidatedLabeled directly by 2 models reading the full record.
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".