How does disease location affect acute phase reactants in ulcerative colitis?
Bibliographic record
Abstract
Background: We aimed to evaluate erythrocyte sedimentation rate (ESR), C-reactive protein (CRP), white blood cell (WBC), platelet (PLT) counts and albumin levels according to disease location in ulcerative colitis.Methods: The ESR, CRP, WBC, PLT counts and albumin levels of 206 ulcerative colitis patients with endoscopic activity were retrospectively evaluated. Endoscopic activity had been assessed using Rachmilewitz endoscopic activity index. Patients were grouped according to the extent of disease by Montreal classification, and they were evaluated regarding the location and severity of disease according to the laboratory test results.Results: Among 206 patients, 88 (42.7%) had extensive colitis, 89 (43.2%) of them had left sided colitis and 29 (14%) patients had proctitis. According to the endoscopic activity index, 32.04% of the patients had mild activity, 39.32% moderate activity and 28.64% had severe activity. As the disease extent progressed from the distal to the proximal intestine, CRP, ESR, WBC and PLT counts showed a significant increase while albumin levels showed a significant decrease. In our study, the test that yielded the best results in the assessment of disease activity was CRP, which was found to be high in 80% of patients with extensive colitis, followed by ESR, PLT and WBC counts. As the involved intestine shortened, the rate of patients with abnormal laboratory tests significantly decreasedConclusion: CRP, ESR, WBC, PLT counts and albumin levels are of limited value in determining disease activity in ulcerative colitis patients, especially in those with proctitis
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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 | 0.000 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 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".