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Record W4409252005 · doi:10.37349/emed.2025.1001302

Vanishing bile duct syndrome in drug-induced liver injury: clinical and pathologic perspectives

2025· article· en· W4409252005 on OpenAlexaff
Sugunah Sallapan, Kyrillos Faragalla, Hanlin L. Wang, Cherry Pun, Jimin Liu

Bibliographic record

VenueExploration of Medicine · 2025
Typearticle
Languageen
FieldPharmacology, Toxicology and Pharmaceutics
TopicDrug-Induced Hepatotoxicity and Protection
Canadian institutionsUniversity of TorontoWestern UniversityMount Sinai Hospital
Fundersnot available
KeywordsBile ductMedicineLiver injuryDrugGastroenterologyInternal medicinePathologyPharmacology

Abstract

fetched live from OpenAlex

Vanishing bile duct syndrome (VBDS) is a rare condition, representing approximately 0.5% of small bile duct diseases, characterized by progressive destruction of intrahepatic bile ducts, leading to ductopenia. This condition encompasses various etiologies, with drug-induced VBDS (D-VBDS) accounting for 7% of VBDS cases. D-VBDS arises from liver injury due to chemical drugs, traditional medicines, and dietary supplements, often resulting in inflammatory responses and necrosis of bile duct epithelium. Recent years have seen a rise in reported cases, making drug-related injuries a leading cause of acute liver failure in Western countries. This review provides a comprehensive analysis of VBDS, focusing on the histopathological features of acute and chronic D-VBDS, alongside exploring its clinical presentation, prognostic implications, and future research directions. Understanding the diverse etiologies, clinical manifestations, and biochemical parameters associated with D-VBDS is essential for improving diagnosis, treatment strategies, and patient outcomes.

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)0.003
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.393
Threshold uncertainty score0.579

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
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 head0.244
GPT teacher head0.490
Teacher spread0.246 · 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.

The models applied no category: nothing in the taxonomy fit this work.
Study designBench or experimental
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

Citations5
Published2025
Admission routes1
Has abstractyes

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