MétaCan
Menu
Back to cohort
Record W2038751792 · doi:10.1097/mol.0b013e3283613a55

Ezetimibe and bile acid sequestrants

2013· review· en· W2038751792 on OpenAlexafffund
Patrick Couture, Benoı̂t Lamarche

Bibliographic record

VenueCurrent Opinion in Lipidology · 2013
Typereview
Languageen
FieldMedicine
TopicCholesterol and Lipid Metabolism
Canadian institutionsUniversité Laval
FundersCanadian Institutes of Health ResearchMerckAmgen
KeywordsEzetimibeEnterohepatic circulationBile acidCholesterolPharmacologyMedicineChemistryInternal medicine

Abstract

fetched live from OpenAlex

PURPOSE OF REVIEW: Several lines of evidence indicate that the enterocyte plays a pivotal role in cholesterol homeostasis. The development of the selective inhibitor of cholesterol absorption ezetimibe and bile acid sequestrants (BAS) interrupting the enterohepatic circulation of bile salts has expanded the options for preventing and treating cardiovascular disease. We discuss here a selection of recently published studies that evaluated the effects of ezetimibe and BAS on lipoprotein metabolism. RECENT FINDINGS: Although significant progress has been made in recent years in elucidating the impacts of ezetimibe and BAS on lipoprotein metabolism, underlying mechanisms are not completely understood. Important new insights have been provided by using in-vivo kinetic studies of apolipoproteins labelled with a stable isotope. Other reports indicated that ezetimibe and BAS modulate the expression of several key genes involved in intestinal lipoprotein metabolism. Many of these effects have been related to the local effects of ezetimibe and BAS on intestinal cholesterol homeostasis. SUMMARY: A substantial effort is being made by researchers to fully understand the mechanisms by which ezetimibe and BAS improve lipid profile. The efficacy of combination therapy of statins with ezetimibe or BAS for the prevention of cardiovascular disease remains to be confirmed in clinical endpoint studies.

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)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.955
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0020.000
Bibliometrics0.0010.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0010.001
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 head0.219
GPT teacher head0.448
Teacher spread0.229 · 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 designNot applicable
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

Citations30
Published2013
Admission routes2
Has abstractyes

Explore more

Same venueCurrent Opinion in LipidologySame topicCholesterol and Lipid MetabolismFrench-language works237,207