Relevance of biologic markers to diagnose Inflammatory Bowel Diseases
Bibliographic record
Abstract
The diagnosis on IBD relies on clinical, anatomic and biologic criterias. Perinuclear antineutrophil cytoplasmic antibodies are associated to ulcerative colitis (UC) and antisaccharomyces cerevisiae antibodies to Crohn disease (CD). In our tertiary center, pANCA MPO and ASCA are available. Atypical pANCA are not available. HYPOTHESIS: pANCA MPO dosing is poorly correlated with IBD in opposition to the ASCA. Demonstrate diagnostic precision of pANCA and ASCA and evaluate the relation between these markers and severity of the disease. Retrospective study (St-Luc Hospital, Montreal) between 2006 and 2008 including all patients with confirmed IBD and a dosing of ASCA and pANCA. Diagnosis, phenotype, localisation, severity and complications were studied. 74 CD and 36 UC. ASCA were positive in 43,3% of CD and pANCA MPO in 11,1% of UC. For CD, ASCA had a sensitivity of 43%, a specificity of 86%, a PPV of 86% and a NPV of 42%. For UC, the sensitivity of pANCA MPO was 11%. ASCA were more importantly found with a stenosing (55,6%) and perforing (54,8%) phenotype than inflammatory only (27,2%) and with a more proximal disease (87% duodeno-jenunal vs 43% colic). ASCA are tighly related to CD. As expected, pANCA MPO do not represent any interest in diagnosis of UC and should be abandoned.
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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 | 0.006 | 0.035 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.002 | 0.001 |
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".