Review article: possible beneficial effects of coffee on liver disease and function
Bibliographic record
Abstract
BACKGROUND: Coffee is consumed by 50 percent of Americans every day. After oil, coffee is the second most valuable commodity in the world. In recent years a number of studies have suggested potential health risks associated with coffee consumption; however, the results are controversial. Whilst coffee has been reported to increase cardiovascular risk factors, other investigators have demonstrated its protective effects on diseases ranging from type 2 diabetes to Parkinson's disease. A number of investigators have focused their attention on the relationship between the consumption of coffee and liver disease. AIM: To examine the published literature to date in an attempt to establish the presence of an hepatoprotective effect of coffee. METHODS: Using PubMed, we identified published studies and review articles relating to the effect of coffee consumption on diseases of the liver. CONCLUSION: A number of studies have reported the beneficial effects of coffee on abnormal liver biochemistry, cirrhosis and hepatocellular carcinoma. At the present time the mechanism of this effect remains unclear as does the ''dose'' required to achieve these benefits.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.002 | 0.001 |
| Bibliometrics | 0.002 | 0.004 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.007 | 0.002 |
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".