Post-Traveler's Diarrhea Irritable Bowel Syndrome: A Prospective Study
Bibliographic record
Abstract
OBJECTIVE: Anecdotal evidence suggests that irritable bowel syndrome (IBS) can develop after an episode of traveler's diarrhea (TD). This observation supports a contemporary paradigm proposed for the etiology of IBS and may have important implications for public health strategies aimed at preventing TD. This study aimed to determine the incidence of IBS in people experiencing TD. METHODS: A total of 109 healthy adults traveling outside of Canada or the United States were identified and enrolled in a prospective, cohort field study. GI symptoms before and after travel were assessed using the Rome I criteria. Travel diaries and questionnaires were used to assess for TD. RESULTS: The incidence of TD in the study cohort was 44%. Among those experiencing TD, the incidence of IBS was 4.2%. In those not experiencing TD, the incidence of IBS post-travel was 1.6% (relative risk = 2.5, 95% CI = 0.2-27.2, p = 0.41, ns). There was no significant difference in the incidence of IBS between the exposed and nonexposed groups. CONCLUSIONS: This study does not support a large association between TD and an increased risk of developing IBS. A small increase in relative risk may have been undetected because of the size of the study.
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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) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 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) | 0.002 | 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".