MétaCan
Menu
Back to cohort
Record W2910427174 · doi:10.3138/canlivj.2018-0006

Serial liver transaminases have no prognostic value in non-alcoholic fatty liver disease

2019· article· en· W2910427174 on OpenAlexaffvenue
Julia Uhanova, Gerald Y. Minuk, Kamila Premji, Natasha Chandok

Bibliographic record

VenueCanadian Liver Journal · 2019
Typearticle
Languageen
FieldMedicine
TopicLiver Disease Diagnosis and Treatment
Canadian institutionsWilliam Osler Health SystemWestern UniversityUniversity of Manitoba
Fundersnot available
KeywordsInternal medicineMedicineGastroenterologyFatty liverCirrhosisHepatocellular carcinomaLiver function testsHistopathologyLiver functionLogistic regressionAlcoholic liver diseaseDiseasePathology

Abstract

fetched live from OpenAlex

Background: Routine measurement of liver transaminases is common in the general monitoring of patients with non-alcoholic fatty liver disease (NAFLD), but there is little data to support the utility of this practice. The aims of this study were to determine how alanine aminotransferase (ALT) results vary over time in patients with NAFLD; and to determine if serial measurement of ALT is a useful clinical marker for progression of NAFLD. Methods: Consecutive adult patients with NAFLD were followed prospectively in a tertiary liver disease clinic over a 15-year period. Clinicodemographic characteristics and the change in liver enzymes, liver function, and histopathology were followed over time. Paired t test, chi-square test, analysis of variance (ANOVA), and logistic regression were performed to assess the relationship between ALT and severity of NAFLD, or development of cirrhosis or hepatocellular carcinoma (HCC). Results/Conclusion: A change in liver transaminases over time is not a useful metric in predicting outcomes in patients with NAFLD. Additionally, all stages of NAFLD are equally responsive to standard medical interventions of advocating for weight loss and correcting metabolic disturbances.

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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Insufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.024
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
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 integrity0.0000.000
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 head0.013
GPT teacher head0.227
Teacher spread0.214 · 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; both teacher heads agree on what is shown here.

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

Citations1
Published2019
Admission routes2
Has abstractyes

Explore more

Same venueCanadian Liver JournalSame topicLiver Disease Diagnosis and TreatmentFrench-language works237,207