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Record W2901489871 · doi:10.22374/cjgim.v13i4.273

Acute Hepatitis Associated with “Thermogenic Fat Burner” Weight-Loss Supplementation

2018· article· en· W2901489871 on OpenAlexaffvenue
Marko M. Popovic, Maxime J. Billick, Matthew Ryan Robinson

Bibliographic record

VenueCanadian Journal of General Internal Medicine · 2018
Typearticle
Languageen
FieldAgricultural and Biological Sciences
TopicNatural Compound Pharmacology Studies
Canadian institutionsUniversity of Toronto
Fundersnot available
KeywordsMedicineWeight lossJaundiceGastroenterologyBilirubinInternal medicineLiver biopsyTransaminaseBasal (medicine)EndocrinologyBiopsyObesityBiochemistryBiologyInsulin

Abstract

fetched live from OpenAlex

Thermogenic fat burner treatments are used to increase an individual’s basal metabolic rate, thus mimicking exercise and inducing weight loss. In rare circumstances, these supplements are associated with hepatotoxicity. We describe the case of a 21-year-old male who presented with painless jaundice and a weight loss of 25% of body weight following 8 weeks of thermogenic fat burner supplementation. Laboratory investigations revealed a severe transaminase and bilirubin elevation (AST/ALT>2000 IU/L, total bilirubin=148 μmol/L). An otherwise extensive workup, including a liver biopsy, did not identify a precise cause. Two weeks after discharge, his condition stabilized with a significant improvement in his laboratory abnormalities. In this report, we discuss the likely ingredients that contributed to the patient’s condition, including Garcinia cambogia and green tea leaf extract, and review similar cases documented in the literature.

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)0.001
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: Empirical
Teacher disagreement score0.002
Threshold uncertainty score0.005

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.001
Science and technology studies0.0010.001
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0020.000

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 head0.018
GPT teacher head0.267
Teacher spread0.249 · 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

Citations2
Published2018
Admission routes2
Has abstractyes

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Same venueCanadian Journal of General Internal MedicineSame topicNatural Compound Pharmacology StudiesFrench-language works237,207