Fecal Calprotectin for Assessment of Inflammatory Activity, Monitoring of Therapy and Prediction of Relapse in Ulcerative Colitis
Bibliographic record
Abstract
AIM: To investigate the role of FCP as a non-invasive marker for assessment of inflammatory activity, monitoring of therapy and prediction of relapses in UC patients. METHODS: The study included 37 patients with UC. The extent and clinical severity of UC was assessed by the modified Montreal classification. Endoscopic activity was assessed by the Mayo scoring system. The control study was performed in eleven patients after treatment. Fourteen of the patients were followed-up and tested to achieve complete remission. FCP was assessed by “Calpo Test” based on ELISA. RESULTS: FCP levels in patients with total and left side UC were significantly higher than the relevant parameters of the patients with distal UC and controls (p<0.001). FCP of patients with left side and total UC was similar (р=0.541). FCP levels were increased significantly with an increase of clinical severity, but the differences between the cases with moderate and severe clinical activity were not statistically significant (р=0.096). Comparing the results of EMS with the values of FCP showed a statistically significant correlationhigher values of EMS correspond with higher levels of FCP. After the treatment, significant reduction in FCP levels were found (р<0.0001). In patients in remission, average FCP levels did not differ from that in controls (р=0.704), and at elevation above 250 mg/kg relapse of disease occurred in the next month. CONCLUSION: FCP is non-invasive bio-marker for evaluation of the inflammatory activity in UC patients, for monitoring of the therapeutic effect and predicting disease relapses.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.002 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 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) | 0.000 | 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 teacher head, 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".