Worldwide Prevalence and Description of Cyclic Vomiting Syndrome According to the Results of the Rome Foundation Global Epidemiology Study
Bibliographic record
Abstract
INTRODUCTION: Cyclic vomiting syndrome (CVS) is a disorder of gut-brain interaction of unknown origin. The aim of this study was to evaluate the global prevalence of this disorder and its associated factors. METHODS: Data were collected from nationwide Internet surveys in 26 countries, with subjects evenly distributed by age, sex, and country. The survey included the Rome IV questionnaire and an extensive supplemental questionnaire to evaluate additional factors. RESULTS: A total of 54,127 participants completed the questionnaire (51% male, mean age 44.3 years). The pooled prevalence of CVS was 0.3% (95% confidence interval [CI] 0.3%-0.4%; n = 187), highest in Brazil (1%, 95% CI 0.6-1.5), and lowest in Japan and Germany (with no subject who fulfilled the criteria for CVS). The mean age of participants with CVS was 36.7 years (SD 13.5), and it was more common in women (56.7% vs 43.5%). Factors independently associated with this syndrome were female sex (odds ratio [OR] 1.52, 95% CI 1.13-2.03), young age (OR 2.57, 95% CI 1.34-4.94, for people between the ages of 18 and 39 years, compared with those older than 65 years), depression (OR 3.14, 95% CI 2.05-4.82, P < 0.001), and anxiety (OR 1.79, 95% CI 1.15-2.78, P < 0.001). Individuals with CVS had impaired quality of life (QoL) (Patient-Reported Outcomes Measurement and Information System 10-item score: physical QoL mean, 12.9 vs 15.5, P < 0.001; mental QoL mean 12.3 vs 14.4, P < 0.001) compared with others. DISCUSSION: CVS is a relatively common disorder that has a negative impact on QoL. It is important to raise awareness on this syndrome to avoid underdiagnosis and improve clinical practice.
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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) | 0.000 | 0.001 |
| Bibliometrics | 0.002 | 0.002 |
| 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".