Epidemiology and Burden of Disorders of Gut-Brain Interaction in Romania: A Subgroup Analysis of the Rome Foundation Global Epidemiology Study
Bibliographic record
Abstract
BACKGROUND AND AIMS: Disorders of gut-brain interaction (DGBI) are a group of chronic illnesses that are crucial to public health because they are widespread, influence patients' quality of life and functional level, and exert a major socioeconomic impact. We assessed the national prevalence of all 22 DGBI, the percentage of respondents satisfying diagnostic criteria for at least one DGBI, and the impact on the disease burden in Romania using data from the Rome Foundation Global Epidemiology Study. METHODS: Data were collected through an anonymous, nationwide, and secure online survey, which evaluated the prevalence of any DGBI as well as over 22 different DGBI. The Rome IV diagnostic questionnaire and an in-depth supplemental questionnaire were included in the survey, which was completed through the Internet with numerous built-in quality-assurance measures. RESULTS: The survey was completed by 2,049 participants (mean age 42.29±13.11 years) with a representative national distribution. Diagnostic criteria for any DGBI were met in 40.1% of the subjects, while 28.6% met criteria for only one DGBI (no overlap), and 11.5% met criteria for DGBIs in two, three, or four overlapping gastrointestinal anatomical regions. Females had a substantially higher predominance of DGBI than males. Psychosocial characteristics (such as quality of life, somatization, and concern about digestive problems) and healthcare utilization (such as physician visits and medication use) were associated with having any DGBI. CONCLUSIONS: We provide the first comprehensive evaluation of the prevalence and burden of DGBI in Romania using the Rome IV criteria. The burden of DGBI in Romania is substantial, with 40.1% of the 2,049 participants meeting diagnostic criteria for any DGBI. These findings demonstrate the importance of patient care, and the need for training and future research.
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.002 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| 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".