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Record W2050140514 · doi:10.1038/sj.bjp.0705781

Acetaminophen hepatotoxicity: NO to the rescue

2004· letter· en· W2050140514 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueBritish Journal of Pharmacology · 2004
Typeletter
Languageen
FieldPharmacology, Toxicology and Pharmaceutics
TopicDrug-Induced Hepatotoxicity and Protection
Canadian institutionsUniversity of Calgary
Fundersnot available
KeywordsAcetaminophenUrsodeoxycholic acidLiver injuryMedicineAnalgesicPharmacologyToxicityacetaminophen overdoseNitric oxideChemistryInternal medicineAcetylcysteineBiochemistryAntioxidant

Abstract

fetched live from OpenAlex

Severe liver injury as a result of overdose or chronic use of acetaminophen (paracetamol) remains a significant clinical problem, accounting for as much as 40% of cases of acute liver failure. The mechanisms underlying the liver injury caused by acetaminophen have become much better understood in recent years. In this issue, Fiorucci et al. report that delivery of nitric oxide (NO) in small amounts to the liver, via a novel derivative of the bile acid ursodeoxycholic acid, results in significant protection of the liver from acetaminophen-induced damage. NO appears to produce these beneficial actions through several mechanisms, including the suppression of synthesis of several proinflammatory cytokines. There is also substantial evidence that a NO-releasing derivative of acetaminophen offers several advantages over acetaminophen itself, including enhanced analgesic potency and reduced liver toxicity.

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.

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)0.004
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Research integrity, Insufficient payload (model declined to judge)
Consensus categoriesResearch integrity, Insufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Commentary · Consensus signal: Commentary
Teacher disagreement score0.031
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0040.000
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.001
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0020.000
Research integrity0.0030.019
Insufficient payload (model declined to judge)0.0040.002

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 head0.085
GPT teacher head0.390
Teacher spread0.305 · 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