Serum immunoglobulins predict the extent of hepatic fibrosis in patients with chronic hepatitis C virus infection
Why this work is in the frame
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Bibliographic record
Abstract
Recently, we documented that immunoglobulins stimulate the proliferative activity of rat hepatic stellate cells in vitro. The aim of the present study was to determine whether there is any association between serum immunoglobulin levels and hepatic fibrosis in patients with chronic hepatitis C virus (HCV) infection. Charts from 116 patients with biochemical, serologic, virologic and histologic evidence of chronic hepatitis C infection and serum immunoglobulin levels (IgA, IgG, IgM and total) were reviewed. The mean (+/-SD) age of the study population was 46 +/- 11 years and 67 (58%) were male. There were significant correlations between serum IgA (r = 0.39, P = 0.00001), IgG (r = 0.49, P = 0.000002) and total (r = 0.51, P = 0.000003) immunoglobulin levels and the stage of hepatic fibrosis. When serum immunoglobulin levels were included into logistic regression analysis with variables known to be associated with advanced disease (male gender, age >40 years at onset of infection, duration of infection beyond 20 years and concurrent alcohol abuse) only IgA, IgG and total immunoglobulin levels (P < 0.05, <0.05 and <0.005, respectively) emerged as independent predictors of hepatic fibrosis. Our data indicate a strong association between serum immunoglobulin levels (IgA, IgG and total) and hepatic fibrosis in patients with HCV infection. This finding supports the need to further investigate whether immunoglobulins independently promote disease progression in patients with chronic HCV infection.
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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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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 it