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Review article: possible beneficial effects of coffee on liver disease and function

2007· review· en· W1517504372 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueAlimentary Pharmacology & Therapeutics · 2007
Typereview
Languageen
FieldMedicine
TopicCoffee research and impacts
Canadian institutionsUniversity of British Columbia
Fundersnot available
KeywordsMedicineCirrhosisDiseaseGreen coffeeHepatocellular carcinomaLiver functionLiver diseaseConsumption (sociology)Mechanism (biology)Diabetes mellitusFatty liverHealth benefitsTraditional medicineEnvironmental healthInternal medicineFood scienceEndocrinology

Abstract

fetched live from OpenAlex

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.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

Full frame distilled prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Other design · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.888
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0000.000

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.

Opus teacher head0.092
GPT teacher head0.432
Teacher spread0.339 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it