Serum immunoglobulin A levels and alcohol-induced liver disease
Why this work is in the frame
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Bibliographic record
Abstract
Background: Recent data suggest intestinal immunity including immunoglobulin A (IgA) may contribute to the pathogenesis of alcohol-induced liver disease (ALD). Methods: We documented serum IgA levels in ALD patients and determined whether those with elevated levels of IgA (E-IgA) had similar, more, or less advanced disease and different rates of progression than those with normal levels of IgA (N-IgA). Standard liver function tests (bilirubin, international normalized ratio [INR], and albumin), model for end-stage liver disease (MELD), and Fibrosis-4 (FIB-4) scores were used as indicators of disease severity. Results: From the study centre’s clinical database, we identified 175 adult patients with ALD, 107 (61%) with E-IgA and 68 (39%) with N-IgA. Gender distribution and mean age of the two cohorts were similar. E-IgA patients had biochemical evidence of more advanced liver disease (higher serum bilirubin and INR and lower albumin levels) than N-IgA patients ( ps < .05). E-IgA patients also had significantly higher median MELD and FIB-4 scores ( ps < .01). A higher percentage of E-IgA patients had FIB-4 values in keeping with advanced fibrosis or cirrhosis (55% versus 28%, p = .02). After mean follow-up periods of approximately 4 years, liver biochemistry and MELD and FIB-4 scores changed to similar extents in the two cohorts. Conclusions: Serum IgA levels were increased in approximately 70% of ALD patients. Although these patients had biochemical and non-invasive indicators of more advanced disease, elevations in serum IgA levels do not predict disease progression; therefore, IgA is unlikely to be of importance in the pathogenesis of ALD.
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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 | 0.000 | 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 | 0.001 |
| Insufficient payload (model declined to judge) | 0.004 | 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 it