Demography and clinical course of ulcerative colitis in Arabs – a study based on the Montreal classification
Bibliographic record
Abstract
OBJECTIVE: Ulcerative colitis (UC) is generally considered a disease of the Caucasian populations in developed countries, but its incidence is increasing rapidly in many developing countries, including the Middle East. The objective of this study was to determine the clinical epidemiology of UC in Arabs. MATERIAL AND METHODS: This cross-sectional medical record-based descriptive study collected sociodemographic and clinical information on 182 Arab patients with UC in Kuwait. Age at diagnosis, extent and severity of disease were determined according to the Montreal classification. results: Among the 182 patients, 91 (50.0%) were males. The median age at diagnosis was 28.5 years. Family history of UC was reported by 26 (14.3%) patients. The extent of the disease was limited to the rectum in 34 (18.7%) patients, left sided in 67 (36.8%) and pan colitis in 81 (44.5%). At the time of inclusion in the study, 127 (69.8%) patients were in clinical remission, 53 (29.1%) had mild-to-moderate disease and 2 (1.1%) had severe colitis. Younger age at diagnosis and non-smoking were associated with more extensive colitis. The majority of patients were treated with mesalamine, steroids and immunomodulators, while biologic therapy and surgery were needed in 5% and 4% of the patients, respectively. CONCLUSIONS: UC presents more commonly at younger age among Arabs in Kuwait. Extensive disease at presentation is associated with younger age at diagnosis and absence of tobacco smoking. There also appears to be less need for surgery and biologic therapy for the disease in this population.
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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 | 0.000 | 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".