Fecal calprotectin role in diagnosis of ulcerative colitis and treatment follow-up
Bibliographic record
Abstract
Abstract Objective Ulcerative colitis usually affects the rectum and potentially can involve the whole colon. Noninvasive methods such as fecal calprotectin measurement may be considered as a reliable and inexpensive approach in assessing disease severity or treatment change strategy. Methods In this retrospective cross-sectional study, records of 56 ulcerative colitis patients who hospitalized with exacerbation between May 2016 and April 2017 were assessed based on IBD Data Bank Software in Gastrointestinal and Liver Diseases and Research Center (GLDRC), Guilan province, Iran between. A questionnaire of demographic characteristics, clinical findings and fecal calprotectin level was completed. Montreal classification severity of ulcerative colitis and Mayo disease activity index were scored. Data were analyzed for descriptive and analytical analysis. Results Fecal calprotectin was significantly different in terms of disease severity based on both Mayo score (p = 0.007) and Montreal classification (p = 0.001). In patients with mild symptoms, no increase in fecal calprotectin was observed, but in patients with moderate and severe elevations in fecal calprotectin levels was significant. Also, C-Reactive Protein surge was related to disease severity (p = 0.02). Furthermore, regression comparison among high-chance patients based on fecal calprotectin was significantly related to higher Erythrocyte Sedimentation Rate levels and smoking, p = 0.01 and p = 0.05, respectively. Conclusion It seems fecal calprotectin levels are related to the disease severity. Non-invasive methods, such as fecal calprotectin assay, may seem to be an alternative to aggressive, costly and time-consuming methods, such as colonoscopy and biopsy, to reduce the suffering of patients and ultimately help improve the patients’ life quality.
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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 | 0.000 | 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".