Bibliographic record
Abstract
Objective To investigate the phenotypic clinical expression of Crohn's disease in Chinese people using the Vienna and the Montreal classification. Methods We retrospectively analyzed the clinical data of 168 patients with Crohn's disease,then typed the disorder according to the Vienna and the Montreal classification,and then compare the features of each subtype. Results On the Montreal classification,patients with A1 subtype (only 5.4%) were at the age of less than or equal to 16,while most patients (63.1%) were 17 to 40,in consistency with the rate of the patients under 40 (65.5%) on the Vienna classification. Disease was mainly localized in the ileum and the ileocolon. Fewer patients with L4 subtype were found on the Montreal than on the Vienna classification (7.1% vs.13.7% ,P = 0.049). Stricture formation was the major complication (40.5% on the Vienna and 41.7% on the Montreal),and penetration was less on the Montreal than on the Vienna classification (10.7% vs. 18.5%,P = 0.044). The surgery rate for penetrating behavior was much higher on the Montreal than on the Vienna classification (88.9% vs. 54.8%,P = 0.014). Conclusions In China,Crohn's disease is rare in adolescents and occurs mainly in people at the age of 17 to 40. The disease is mainly localized in the ileum and the ileocolon. Stricture formation is a common complication and penetration is the major cause of surgery. Both the Vienna and the Montreal classification have their own advantages in typing Crohn's disease and thus combined application of the two classifications is more valuable.
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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 | 0.003 |
| 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 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 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".