The Prevalence and Genetic Factors of Pediatric Inflammatory Bowel Disease (IBD) in Different Populations A Retrospective Study.
Bibliographic record
Abstract
Background: Crohn’s disease and ulcerative colitis, also known as paediatric IBD is an emerging global issue. Their occurrence also greatly differs over the areas, hence genetic, environmental, and socio-economic differences. Both major gene variations affecting NOD2 and IL23R genes indicate genetic susceptibility to the disease and immune response and severity in a variety of populations. Objectives: the frequency of paediatric IBD in other populations to Canadian children, the research project further compares the genetically predisposed markers with the severity of disease in pediatric subjects. Study Design: A Retrospective Study. Place and duration of study. Department of Gastroenterology Hayatabad medical complex Peshawar from January 2019 to July 2020 Methods: 100 P-IBD patients, specifically children, were followed up. Discrete measures were obtained from respondents on demographic features, family history, and disease severity. Targeted genetic testing of NOD2 and IL23R variants were conducted. Descriptive statistics incorporated SD for prevalence fluctuations and p-values for gene-related relationships. Inter regional group comparisons were made. Results: 100 patients the average age was 12.3 (±2.1) years of age. NOD2 variants were observed in all cases tested and IL23R variants were seen in thirty percent of the patients. This was evident where prevalence varied significantly between North America and Asia only (p < 0.05). Crohn’s disease was higher than ulcerative colitis: 60% and 40%, respectively. Some of these demographics include: Family history came out strongly positive (F = 15.19, p < 0.01). Conclusions: Geographical distribution of paediatric IBD has significant differences and strong association with NOD2 and IL23R polymorphisms. Prompt recognition of patients with genetic profiles related to the diseases can provide a more effective approach to their management, leading to better patient prognosis and lessor disease load. Keywords: Pediatric IBD, Genetics, Incidence, Races
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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 | 0.001 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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".