Clinical and Sociodemographic Aspects of Inflammatory Bowel Disease Patients
Bibliographic record
Abstract
BACKGROUND: In Brazil, there are few epidemiological studies available about the demographic and clinical aspects of inflammatory bowel disease (IBD). The aim of this study was to identify epidemiological and clinical characteristics of patients with IBD treated at the University Hospital (HU) of the Sergipe Federal University (UFS). METHODS: A cross-sectional descriptive study was conducted in HU/UFS from October 2011 to January 2014. The sample consisted of 87 patients with IBD, who registered in the coloproctology clinic. We applied a questionnaire with sociodemographic and clinical variables. RESULTS: Of the 87 patients, 40 (46%) had Crohn's disease (CD) and 47 (54%) had ulcerative colitis (UC). Women had a higher prevalence of IBD. Data obtained were significant (P < 0.05) in the variables: age, origin and level of education. CD patients were younger (< 25 years old), had higher prevalence of smoking habits and were associated with urban origin, conjunctivitis, palpable mass, appendectomy and intestinal complications. UC was more prevalent in older individuals (> 25 years old), with rural origin, bloody diarrhea and rectal bleeding. Location and initial behavior of CD were ileum-colic (L3), inflammatory behavior and penetrating form of the disease. There is higher prevalence of proctitis and mild and severe forms of the UC among women. Osteoarticular and systemic manifestations predominated in both diseases. CONCLUSIONS: IBD affected more women than men. The age, origin and level of education can interfere with early diagnosis. Demographic and clinical aspects were similar to the literature. Data differ in the time interval between the onset of symptoms and diagnosis, smoking habit, appendectomy and severity of UC for age and gender.
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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) | 0.003 | 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".