Seasonal variability in the activity of common chronic liver diseases
Bibliographic record
Abstract
BACKGROUND: Seasonal variations in flu-like illnesses and vaccinations, vitamin D levels, alcohol intake, and sedentary lifestyles raise the possibility that seasonal variations exist in the severity of immune-mediated, alcohol, and obesity- or dyslipidemia-related chronic liver diseases, respectively. METHODS: We documented months-seasons in which biochemical evidence of disease activity is greatest in adult patients with common liver disorders. Months-seasons associated with peak liver enzyme levels in patients with largely immune-mediated disorders (autoimmune hepatitis, primary biliary cholangitis [PBC], and primary sclerosing cholangitis), alcoholic liver disease, and non-alcoholic fatty liver disease were documented from a hospital-based, liver diseases outpatient clinic database. RESULTS: < .005), no significant associations were found between months-seasons and peak liver enzyme activities in any of these liver disorders. CONCLUSIONS: These findings suggest that seasonal illnesses or immunizations and vitamin D depletion, alcohol intake, and sedentary lifestyle do not significantly exacerbate common underlying immune-mediated, alcohol, or metabolic liver disorders, respectively.
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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 | 0.001 | 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) | 0.003 | 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".