P-227 Disease Phenotype at Diagnosis in Pediatric IBD in China
Bibliographic record
Abstract
There is a steadily increasing trend of pediatric IBD in China. It has been speculated that Chinese pediatric IBD is a distinct disease entity, with probably different disease subtypes. We aimed to describe various clinical manifestations, and endoscopic findings by using the pediatric modification of the Montreal classification, the Paris classification. One hundred seventy-one cases of newly diagnosed IBD in patients less than 18 years of age were documented from 2000 to 2014. Relevant data were extracted from their corresponding medical records. A total of 171 IBD cases were included in the study. Among them, 114 were males and 57 were females (male/female ratio, 2:1). 116 had Crohn's disease (CD) and 55 had ulcerative colitis (UC). The most common symptoms of CD were diarrhea (54.8%), abdominal pain (44.3%) and bloody stool (37.4%). The most common symptoms of UC were bloody stool (67.9%), diarrhea (44.6%) and abdominal pain (21.4%). More CD than UC patients had anemia and extraintestinal manifestations (eyes, skin, liver, joints). 53.9% of the CD patients had ileocolonic involvement, and 28.7% had involvement of the upper gastrointestinal tract. 48.2% of the patients with UC had left-side colitis. The average value of PCDAI is 35.1 ± 14.7, and the average value of PUCAI is 25.7 ± 13.4. The Paris classification is a useful tool to capture the variety of phenotypic characteristics of pediatric IBD in China. Chinese CD children are similar to western children, but Chinese UC children are similar to adult.
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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 | 0.002 |
| 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".