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Record W1982345014 · doi:10.2310/7750.2014.14051

Acitretin-Induced Hepatitis: When to Monitor Cholestatic Enzymes

2015· review· en· W1982345014 on OpenAlexaff
Maxwell Sauder, Loretta Cheung, Jennifer Beecker

Bibliographic record

VenueJournal of Cutaneous Medicine and Surgery · 2015
Typereview
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicRetinoids in leukemia and cellular processes
Canadian institutionsUniversity of Ottawa
Fundersnot available
KeywordsAcitretinMedicineElevated transaminasesCholestasisHepatitisAlkaline phosphataseToxic hepatitisGastroenterologyTransaminaseIchthyosisDermatologyInternal medicineEnzymePsoriasisBiochemistryBiology

Abstract

fetched live from OpenAlex

IMPORTANCE: Acitretin is a systemic retinoid that is used in dermatology for a variety of conditions. A well-recognized potential adverse event from acitretin is elevated transaminases, indicating acute hepatocyte damage. Less well known is the possible cholestatic injury that can occur, signaled by elevated γ-glutamyltransferase (GGT) and alkaline phosphatase (ALP). OBSERVATIONS: Our patient presented with an acute acitretin-induced hepatitis with a mixed pattern of elevated transaminases as well as GGT and ALP. A literature review demonstrated that most cases of acitretin-induced hepatitis, outside clinical trials, describe patients with a similar mixed hepatitis pattern. CONCLUSIONS: This is the first literature review on acitretin-induced hepatitis. Although acitretin-induced hepatoxicity is rare, the seemingly unusual presentation of a mixed pattern of hepatocyte injury and cholestasis may be more common than previously thought. The findings should encourage clinicians not only to monitor transaminases but also to consider measuring cholestatic enzymes (ALP/GGT) in patients with transaminase abnormalities.

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 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)0.001
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.904
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0020.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
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 head0.048
GPT teacher head0.327
Teacher spread0.279 · 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 teacher head, not a consensus.

Study designNot applicable
Domainnot available
GenreReview

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

Citations11
Published2015
Admission routes1
Has abstractyes

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