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Record W2416784911 · doi:10.1159/000469062

Serum Aspartate Aminotransferase to AlanineAminotransferase Ratio in Human and Experimental AlcoholicLiver Disease: Relationship to Histologic Changes

2017· article· en· W2416784911 on OpenAlexaff
Amin A. Nanji, Samuel W. French, C L Mendenhall

Bibliographic record

VenueEnzyme · 2017
Typearticle
Languageen
FieldMedicine
TopicLiver Disease Diagnosis and Treatment
Canadian institutionsUniversity of Ottawa
FundersHospital Research Foundation
KeywordsCirrhosisAlcoholic liver diseaseGastroenterologyInternal medicineAlanine aminotransferaseAlcoholic hepatitisMedicineLiver diseaseHepatitisFatty liverDisease

Abstract

fetched live from OpenAlex

We studied the relationship between the ratio of serum aspartate aminotransferase (ASAT) to alanine aminotransferase (ALAT) and histologic changes in human and experimental alcoholic liver disease. The patient population included 52 hospitalized patients enrolled in a Veterans Administration Cooperative study. The experimental animal group consisted of male Wistar rats fed an ethanol-liquid diet. Of the 52 patients with alcoholic hepatitis, 33 had evidence of cirrhosis. The mean +/- SD for the ASAT/ALAT ratio in the group with alcoholic hepatitis and no cirrhosis was 1.47 +/- 0.84, the mean +/- SD in the group with hepatitis and cirrhosis was significantly higher (2.68 +/- 1.32, p less than 0.01). There was no difference in the ratio between the rats with and without liver fibrosis. The cause for the increased ASAT/ALAT ratio in serum in the presence of cirrhosis is unknown and may reflect more severe liver damage.

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)0.001
metaresearch head score (Gemma)0.003
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 score0.001
Threshold uncertainty score0.004

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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 head0.051
GPT teacher head0.337
Teacher spread0.286 · 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

Citations13
Published2017
Admission routes1
Has abstractyes

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