PTU-076 Is faecal calprotectin (FC) a reliable marker of isolated small bowel crohn’s disease (CD) activity?
Bibliographic record
Abstract
Introduction The measurement of FC is considered an important investigation in both the diagnosis and assessment of activity in CD. However, it’s accuracy in isolated small bowel disease (Montreal classification L1) compared to colonic (L2) and ileocolonic (L3) remains undetermined. This study aims to establish whether FC can be used to assess disease activity in L1 disease with the same degree of confidence as with other disease locations. Method 197 patients were selected from our biologics cohort. All patients had FC measured at the same time as C-Reactive Protein (CRP) and Harvey Bradshaw Index (HBI) were documented. Statistical analysis was done using SPSS version 22. FC (units of IU/ml) for comparisons underwent Log10transformation. Significances between means were obtained using independent 2 sample t-test and the oneway ANOVA test. Results Patients were divided according to Montreal classification; L1 (n = 28), L2 (n = 59) and L3 (n = 108). Mean FC for the 3 groups were 344 (median = 100), 379 (median = 80) and 288 (median = 71) respectively (P = 0.728). Comparison of mean FC was made between patients with active disease (mean FC = 543) and inactive disease (mean FC = 216); the difference was statistically significant (P < 0.015). Active disease was defined as HBI ≥5 and/or CRP >5. The table above shows the significance of the relationship between mean FC and disease activity for the 3 disease locations. Conclusion We show that, as previously established, FC is a good marker of disease activity when compared against HBI and CRP. However in L1 disease there was no significant difference in the FC of patients with active versus inactive disease. Therefore, we conclude that disease activity cannot be determined by FC alone in isolated small bowel disease. Disclosure of interest B. Warner: None Declared, E. Johnston: None Declared, M. Ward: None Declared, P. Irving Speaker Bureau of: AbbVie, MSD, Takeda, Warner Chilcott, Shire, Ferring and Tillotts Pharma.
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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 | 0.002 |
| 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 | 0.000 |
| Insufficient payload (model declined to judge) | 0.003 | 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".