Epidemiology of Non-alcoholic Fatty Liver Disease in North America
Bibliographic record
Abstract
Nonalcoholic fatty liver disease (NAFLD) is rapidly becoming the most common cause of chronic liver disease worldwide. This is primarily driven by the global epidemic of obesity and diabetes as well as the aging of the general population. Most of the epidemiology data of NAFLD for North America are published from studies originating in the United States (U.S.). The overall prevalence of NAFLD in the U.S. is estimated to be 24%. Hispanic Americans have a higher prevalence of NAFLD, whereas African Americans have a lower prevalence of NAFLD. The exact contributions of genetic and environmental factors on these differences in the prevalence rates have not been determined. From the spectrum of NAFLD, patients with non-alcoholic steatohepatitis (NASH) are at the highest risk of progression to cirrhosis and hepatocellular carcinoma (HCC). The most recent data regarding the progression of NASH suggest a complex pattern of progression and regression of fibrosis. Factors influencing the progression and regression of NASH have not been fully described. More research is needed to better understand NAFLD in Mexico and Canada.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.004 | 0.004 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 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 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".