Post-infectious IBS across Europe: First results from a web-based survey
Bibliographic record
Abstract
The prevalence of post-infectious irritable bowel syndrome (PI-IBS) among IBS patients is current unknown. Methods: A web-based survey for IBS patients to report the mode of onset of their IBS symptoms and the evolution of symptoms was performed. So far (October 2009) we have 1170 IBS patients registered (n=482 recruited via passwords of the participating physician, 687 self-selected via the internet), 70% met Rome III criteria for IBS, 68% females from 34 countries including 14 European, 9 South American, 3 North American, 2 African and 3 Australasian countries. Results: The average age was 39 (SD 33.0) years. As expected from an internet survey the subjects were mostly well educated, urban and middle class. 213 (18%) met criteria for PI-IBS (sudden onset: n=114; onset while travelling: n=66; onset after acute illness with 2 or more of: fever (n=117), diarrhoea (n=171), vomiting (n=108) or positive stool culture (n=46)). Living conditions (living on a farm, >1 toilet per family, sharing a bed with a sibling during childhood, and hot running water) were similar between both groups, but females were more likely to report PI-IBS (75% versus 67%, p=0.033; OR: 1.39), and a significantly higher prevalence was found for northern (European) countries (p=0.02). PI-IBS patients were more likely to report loose stools (p=0.004). A past history of anxiety or depression, and acute scores for anxiety and depression on the Hospital Anxiety Depression Scale were not different between but increased in both subgroups. The total symptom burden was, however significantly higher (p=0.001) in PI-IBS patients compared to non PI-IBS. Conclusion: Our survey suggests that an internet-based assessment of PI-IBS is feasible and that PI-IBS occurs throughout the world. PI-IBS patients are more likely to be female. (Supported by a grant from the United European Gastroenterology Federation)
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.002 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.003 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| 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, 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".