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 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 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 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) | 0.001 | 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".