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Record W3018751775 · doi:10.18433/jpps30923

Gamma glutamyl transferase – an underestimated marker for cardiovascular disease and the metabolic syndrome

2020· review· en· W3018751775 on OpenAlexaffvenue
Manuela G. Neuman, Stephen Malnick, Lucy Chertin

Bibliographic record

VenueJournal of Pharmacy & Pharmaceutical Sciences · 2020
Typereview
Languageen
FieldMedicine
TopicLiver Disease Diagnosis and Treatment
Canadian institutionsUniversity of Toronto
Fundersnot available
KeywordsInternal medicineAtrial fibrillationHeart failureMedicineMetabolic syndromeExacerbationDiseaseGastroenterologyGamma-glutamyltransferaseEndocrinologyEnzymeCardiologyPathologyBiologyBiochemistry

Abstract

fetched live from OpenAlex

Gamma glutamyl transferase (GGT) is an enzyme in glutathione and cysteine metabolism. GGT is a standard liver enzyme test reflecting biliary tract involvement. It also has a prooxoidant activity and a modulating influence on endothelia dysfunction. GGT is associated with the metabolic syndrome and is often elevated in patients with NAFLD. There is also a role for GGT activity in several aspects cardiovascular disease. There is an association between elevated GGT and cardiovascular mortality, atrial fibrillation, exacerbation of congestive heart failure . In addition there is an association with obstructive sleep apnea. We review the evidence available and suggest that there is a need for further assessing the use of GGT, together with the presence of the metabolic syndrome as a prognostic marker.

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)0.002
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Other design · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.982
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.000
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0030.003
Bibliometrics0.0000.001
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
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 head0.154
GPT teacher head0.436
Teacher spread0.282 · 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.

Study designOther design
Domainnot available
GenreReview

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

Citations62
Published2020
Admission routes2
Has abstractyes

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