Serial liver transaminases have no prognostic value in non-alcoholic fatty liver disease
Bibliographic record
Abstract
Background: Routine measurement of liver transaminases is common in the general monitoring of patients with non-alcoholic fatty liver disease (NAFLD), but there is little data to support the utility of this practice. The aims of this study were to determine how alanine aminotransferase (ALT) results vary over time in patients with NAFLD; and to determine if serial measurement of ALT is a useful clinical marker for progression of NAFLD. Methods: Consecutive adult patients with NAFLD were followed prospectively in a tertiary liver disease clinic over a 15-year period. Clinicodemographic characteristics and the change in liver enzymes, liver function, and histopathology were followed over time. Paired t test, chi-square test, analysis of variance (ANOVA), and logistic regression were performed to assess the relationship between ALT and severity of NAFLD, or development of cirrhosis or hepatocellular carcinoma (HCC). Results/Conclusion: A change in liver transaminases over time is not a useful metric in predicting outcomes in patients with NAFLD. Additionally, all stages of NAFLD are equally responsive to standard medical interventions of advocating for weight loss and correcting metabolic disturbances.
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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 | 0.006 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| 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".