Epidemiology of disorders of Gut‐Brain interaction in Israel: Results from the Rome Foundation global epidemiology study
Bibliographic record
Abstract
BACKGROUND: Data for Israel from the Rome Foundation Global Epidemiology Study on the disorders of gut-brain interaction (DGBI) were used to assess the national prevalence of all 22 DGBI, the percentage of respondents meeting diagnostic criteria for at least one DGBI, and the impact on burden of disease in Israel. METHODS: The survey was conducted through the Internet with multiple built-in quality-assurance techniques and included the Rome IV diagnostic questionnaire and an in-depth supplemental questionnaire. KEY RESULTS: 2012 Israeli participants completed the survey nationwide: mean age 44.6 ± 16.4 years, 50% females. The national distribution was very close to the latest Israeli census. 36.4% (95% CI 34.3, 38.4) met diagnostic criteria for at least one DGBI, with 4.4% for any esophageal disorder, 6.5% for any gastroduodenal disorder, 30.8% for any bowel disorder, and 5.3% for any anorectal disorder. The rates were higher for women. Having any DGBI was associated negatively with psychosocial variables (including quality of life, somatization, and concern about digestive problems), and healthcare utilization (including doctor visits, use of medications, and abdominal surgeries). CONCLUSIONS & INFERENCES: The results of this study provide the first in-depth assessment of the prevalence and burden of Rome IV DGBI in Israel and facilitate comparisons with other countries. As 36.4% of the 2,012 participants met diagnostic criteria for at least one DGBI, and 23.5% of those met criteria for more than one DGBI, the burden of DGBI in Israel is high, indicating a need to focus on research and training for patient care.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 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, 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".