P107 Value of faecal biomarkers are affected by extension of inflammation in ulcerative colitis
Bibliographic record
Abstract
Faecal biomarkers are non-invasive markers of inflammation activity in patients with ulcerative colitis (UC) and reflect intestinal inflammation activity. However, whether disease extension affects the value of faecal biomarkers has not been fully investigated. In the present study, to identify the effect of disease extension on faecal biomarkers we assessed the correlation between faecal biomarkers and endoscopic activity in each inflammatory location type. We conducted a retrospective observational study. 108 UC patients from February 2017 to March 2018 in Kyorin University hospital who underwent faecal biomarkers test within 2 months of colonoscopy were studied. Faecal calprotectin level (FC), faecal lactoferrin level (FL) and faecal immunochemical test (FIT) were measured simultaneously in the same sample. We examined the correlation between Mayo Endoscopic Subscore (MES), and faecal biomarkers in inflammatory location of Montreal classification (proctitis, left sided colitis, total colitis). Correlation was analysed using the Spearman’s rank correlation index (SPSS). In all cases, all faecal biomarkers were correlated with MES (FC: ρ = 0.645, p < 0.001, FIT: ρ = 0.627, p < 0.001, FL: ρ = 0.646, p < 0.001). In proctitis, all faecal biomarkers were not correlated with MES (FC: ρ = 0.148, p = 0.613, FIT: ρ = 0.542, p < 0.045, FL: ρ = 0.342, p < 0.231). On the other hand, in left colitis and total colitis, all faecal biomarkers were correlated with MES (FC: ρ = 0.554, p < 0.001, FIT: ρ = 0.736, p < 0.001, FL: ρ = 0.567, p < 0.001 and FC: ρ = 0.741, p < 0.001, FIT: ρ = 0.563, p < 0.001, FL: ρ = 0.713, p < 0.001). The correlation coefficients of FC and FL were higher in pancolitis than in left sided colitis (Table 1). Spearman’s rank correlations between faecal biomarkers and MES by extension of inflammation. Faecal biomarkers showed correlation satisfactory in overall patients, except for in proctitis patients. These results suggested that value of faecal biomarkers is affected by extension of inflammation.
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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 | 0.006 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| 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".