[TNF alfa polymorphism and course of ulcerative colitis].
Bibliographic record
Abstract
UNLABELLED: Inflammatory bowel diseases including ulcerative colitis are associated with prolonged inflammatory process, that is dependent on cytokine production. Among them crucial role plays tumor necrosis factor TNF-alpha. There is proven association between single nucleotyde polimorphism and ability to produce cytokines. AIM: We analyzed association between TNF-alpha (-308) promoter polymorphism and extension of lesions in ulcerative colitis. TNF-alpha (-308) promoter polymorphism. MATERIALS AND METHODS: Analysis was performed using polymerase chain reaction with sequence specific primers method (PCR-SSP) in 48 patients suffering from ulcerative colitis and association between TNF-alpha (-308) promoter polymorphism and ulcerative colitis macroscopic lesions classified according Montreal classification was investigated. RESULTS: No statistically significant association among groups of patients and TNF-alpha (-308) promoter polymorphism was observed. More cases of TNF-alpha (-308) promoter polymorphism associated with low TNF-alpha production were observed in patients with E2 and E3 lesions according to Montreal classification. CONCLUSIONS. There is no direct association between TNF-alpha (-308) promoter polymorphism and ulcerative colitis macroscopic inflammatory lesions evaluated on basis of Montreal classification. There is statistically irrelevant tendency of more cases of pancolitis in group of patient with TNF-alpha (-308) promoter polymorphism associated with low TNF-alpha production.
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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 | 0.000 | 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) | 0.007 | 0.001 |
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".