Determining the association between stool calprotectin level and colorectal involvement in ulcerative colitis patients
Bibliographic record
Abstract
Background and Objectives: Calprotectin is a cytosolic protein in granulocytes.Its amount in the stool is proportional to the amount of neutrophil migration from the inflamed intestinal wall to the mucous and indicates the amount of active inflammation in the mucous.It is used to help diagnose the phase of disease and the extent of colon involvement.Methods: For 60 patients with ulcerative colitis (UC), who underwent colonoscopy and biopsy, 5-10 grams of stool samples were sent to Zanjan Buali's laboratory to measure calprotectin level by enzyme-linked immunosorbent assay (ELISA).The extent of colon involvement was measured by a colonoscopy exam including rectal involvement (proctitis), rectum and sigmoid (recto sigmoiditis), descending colon involvement (left side colitis), and proximal to the colon's splenic flexure (pan colitis).Results: All of the 60 patients who participated had UC.The average of calprotectin was 555.18±179.41 with no significant relationship between calprotectin levels and the gender, no significant relationship between calprotectin levels and gender, as well as between colorectal involvement and calprotectin levels.Conclusion: The level of fecal calprotectin may indicate the severity of colorectal involvement, but cannot show the extent of it.This inability is also present in different ages and genders.Therefore, the results say this marker cannot be used as a diagnosis of the extent of colorectal involvement in patients with UC.
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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 | 0.001 |
| 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 | 0.000 |
| 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".