Liver enzymes and fibrosis markers in patients with non-alcoholic fatty liver disease and concomitant chronic viral hepatitis
Bibliographic record
Abstract
The impact of non-alcoholic fatty liver disease (NAFLD) on patients with chronic hepatitis B virus (HBV) and hepatitis C virus (HCV) infections has yet to be determined. In this retrospective, cross-sectional analysis, untreated chronic HBV, hepatitis B e-antigen (HBeAg)-positive patients with NAFLD had similar liver biochemistry and FIB-4 values as age-, gender-, and viral-load-matched HBeAg-positive patients without NAFLD. Among HBeAg-negative patients with NAFLD, although liver biochemistry findings were similar, mean FIB-4 values were significantly lower (0.98, SD 1.46, versus 1.51, SD 4.04, respectively; p < 0.05) and the percentage of patients with FIB-4 values in keeping with advanced fibrosis or cirrhosis was less (0.3% versus 3.9%, p < 0.015) than that of matched HBeAg-negative patients without NAFLD. Chronic HCV-infected patients with NAFLD had higher mean serum aminotransferase values than those without NAFLD (123 U/L, SD 247, versus 90 U/L, SD 128, respectively; p < 0.05). These results suggest that NAFLD adversely affects chronic HCV infections but not HBV infections.
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How this classification was reachedexpand
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 | 0.000 |
| 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, 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".