Obesity Is More Common in Children Newly Diagnosed With Ulcerative Colitis as Compared to Those With Crohn Disease
Bibliographic record
Abstract
OBJECTIVE: This prospective observational study aimed to examine the prevalence of obesity in a population-based cohort of children and young adults newly diagnosed with inflammatory bowel disease (IBD) and assess their outcome in comparison to newly diagnosed normal/underweight patients. METHODS: Our longitudinal population-based cohort comprised all children younger than 17 years diagnosed with IBD in the province of Manitoba, Canada between 2012 and 2018. Cox regression model with adjustment for a priori covariates was used to examine the time to first relapse among patients who were obese/overweight at the time of IBD diagnosis in comparison to patients who were normal or underweight. RESULTS: A total of 139 patients with IBD were followed up for a median duration of 1.09 (interquartile range: 0.53-2.62) years. Obesity was more common in children newly diagnosed with ulcerative colitis (UC) compared to those with Crohn disease (CD) (12.7% vs 0.0%; P = 0.005). Age at diagnosis poorly correlated with the body mass index z score (R = 0.23; P = 0.01). The proportions of patients who were underweight at the time of IBD diagnosis among patients with UC and CD were 6.3% and 20.0%, respectively (P = 0.01). The time to initial relapse was not found to be significantly associated with weight category at diagnosis in UC (adjusted hazard ratio = 0.77; 95% confidence interval: 0.40-1.63) or CD (adjusted hazard ratio = 0.83; 95% confidence interval: 0.20-3.51). CONCLUSION: Obesity was more common in children and young adults newly diagnosed with UC. The majority of the underweight children had CD.
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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 | 0.001 | 0.000 |
| 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".