SERO-PREVALENCE OF EPSTEIN-BARR VIRUS IN IRAQI INFLAMMATORY BOWEL DISEASE
Bibliographic record
Abstract
OBJECTIVE: The aim: Determine the frequency of anti-viral capsid antigen IgM, IgG and IgA in inflammatory bowel disease. PATIENTS AND METHODS: Materials and methods: Case controlled study conducted during involved 60 Crohn's disease, 60 ulcerative colitis and 60 subjects as a control group with negative gastroin¬testinal symptoms. Diagnosis and disease classification were established according to Montreal disease classification of inflammatory bowel diseases. Measurement of serum anti-VCA IgM, IgG and IgA was done, using ELISA method. RESULTS: Results: The current results showed a higher frequency of EBV seropositivity among both Crohn's disease and ulcerative colitis 96.67% in comparison with controls 78.33. None statistical significance observed according to sex of patients. IgM were significantly associated with younger than 16 years 33.33%. IgA anti-VCA were significantly frequent within 17-40 years old comprising 100%. Patients with colonic and ileocolonic site of lesions were significantly have frequent anti-VCA IgA 96.43% and 96%. In ulcerative colitis IgM subtype of anti-VCA 35.71% frequent in extensive colitis. Anti-VCA IgG were statistically significant with moderate and severe ulcerative colitis cases 100%. Also, anti-VCA IgA associated with severity of ulcerative colitis 100% of mild cases, 96.43% of moderate cases and 100% of severe cases. CONCLUSION: Conclusion: EBV seropositivity were detected among IBD cases, however viral infection might be associated with distinct and severe cases that requires anti-viral therapy.
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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 | 0.000 |
| 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) | 0.002 | 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".