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Record W2022313385 · doi:10.1186/cc8776

Drug-induced hepatic cholestasis in the ICU: a case-control study

2010· article· en· W2022313385 on OpenAlexaff
David Williamson, Marie-Eve Bédard Dufresne, Valérie Bonhomme, Martin Albert, Colin Verdant, AJ Frenette

Bibliographic record

VenueCritical Care · 2010
Typearticle
Languageen
FieldPharmacology, Toxicology and Pharmaceutics
TopicDrug-Induced Hepatotoxicity and Protection
Canadian institutionsHôpital Maisonneuve-RosemontHôpital du Sacré-Cœur de Montréal
Fundersnot available
KeywordsMedicineCholestasisAlkaline phosphataseInternal medicineDrugLiver injuryGastroenterologyIntensive care medicinePharmacology

Abstract

fetched live from OpenAlex

Liver dysfunction in critically ill patients represents a major concern. Many drugs used in the ICU have been associated with hepatotoxicity. Hepatotoxicity presents in three distinct patterns: cholestatic (alkaline phosphatase (AP) ≥2 × ULN and ratio (ALT/ULN)/(AP/ULN) ≤2), hepatocellular (ALT ≥3 × ULN and ratio ≥5) and mixed (AP ≥2 × ULN, ALT ≥3 × ULN and ratio between 2 and 5). No published studies have assessed the drug-induced cholestastic pattern of hepatotoxicity in the ICU. The aim of this study was to assess whether use of pharmacological classes previously associated with cholestasis are associated with an increased risk of pure or mixed cholestasis in the ICU.

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)0.002
metaresearch head score (Gemma)0.004
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.005
Threshold uncertainty score0.010

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.004
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.001
Science and technology studies0.0010.001
Scholarly communication0.0010.001
Open science0.0010.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0030.000

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 head0.119
GPT teacher head0.460
Teacher spread0.340 · 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 designObservational
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

Citations0
Published2010
Admission routes1
Has abstractyes

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