Anti‐<i><scp>S</scp>accharomyces cerevisiae</i> antibody titres correlate well with disease activity in children with <scp>C</scp>rohn's disease
Bibliographic record
Abstract
AIM: The role of noninvasive biologic markers for disease activity is very important in children with Crohn's disease. The aim of this study was to assess an association between disease activity and quantitative serum anti-Saccharomyces cerevisiae antibody (ASCA) titres. METHODS: Anti-Saccharomyces cerevisiae antibody immunoglobulin (Ig) A and immunoglobulin G titres, paediatric Crohn's disease activity index (PCDAI), serum albumin and C-reactive protein (CRP) were repeatedly measured simultaneously in children with Crohn's disease. A possible association between ASCA IgA and IgG titres and changes in PCDAI was examined. RESULTS: Serial 136 measurements of ASCA IgA and IgG titres were documented in 57 children with Crohn's disease over a mean duration of 3.1 ± 2.1 years. In a univariate linear regression model, there were significant correlations between ASCA IgA titres and PCDAI (p < 0.001), CRP (p <0.01) and low serum albumin (p < 0.001), respectively. Similarly, ASCA IgG titres significantly correlated with PCDAI, CRP and low serum albumin. CONCLUSION: Both ASCA IgA and IgG titres seemed to correlate well with clinical Crohn's disease activity in children. Measuring these antibodies may be considered during routine clinical care for those patients.
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| 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".