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Record W2047416003 · doi:10.1002/lt.21021

Acute liver failure induced by green tea extracts: Case report and review of the literature

2006· article· en· W2047416003 on OpenAlexaff
Michele Molinari, Kymberly D. Watt, Tomasz Kruszyna, Rebecca A. Nelson, Mark Walsh, Weei-Yuan Huang, Björn Nashan, Kevork Peltekian

Bibliographic record

VenueLiver Transplantation · 2006
Typearticle
Languageen
FieldPharmacology, Toxicology and Pharmaceutics
TopicDrug-Induced Hepatotoxicity and Protection
Canadian institutionsQueen Elizabeth II Health Sciences CentreDalhousie University
Fundersnot available
KeywordsMedicineGreen teaHealth benefitsTraditional medicineIntensive care medicineFood science

Abstract

fetched live from OpenAlex

In industrialized countries, over-the-counter dietary supplements have become popular in preventing and treating an expanding list of medical conditions. Although most commercially available supplements have not been rigorously tested for safety and efficacy, they have found an enlarging market because they are considered natural. Oral supplements containing green tea extract have been marketed as effective for weight loss and to prevent and cure some solid tumors. Although there is little scientific evidence of the effectiveness of green tea extracts to improve the quality of health of regular consumers, there is an increasing body of medical literature supporting the hypothesis that they can cause serious side effects. Our experience adds to previous reports of acute liver toxicity observed in individuals consuming supplements containing green tea extract. We highlight the importance of obtaining a detailed history of dietary supplement consumption when evaluating a patient presenting with acute liver dysfunction.

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.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.002
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Case report · Consensus signal: Case report
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.006
Threshold uncertainty score0.018

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.002
Meta-epidemiology (narrow)0.0020.001
Meta-epidemiology (broad)0.0020.001
Bibliometrics0.0040.003
Science and technology studies0.0010.002
Scholarly communication0.0020.003
Open science0.0020.001
Research integrity0.0060.002
Insufficient payload (model declined to judge)0.0050.003

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 head0.041
GPT teacher head0.348
Teacher spread0.307 · 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

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designCase report
Domainnot available
GenreEmpirical

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".

Quick stats

Citations170
Published2006
Admission routes1
Has abstractyes

Explore more

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