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Record W4391252328 · doi:10.1097/mol.0000000000000921

Remnant cholesterol as a new lipid-lowering target to reduce cardiovascular events

2024· article· en· W4391252328 on OpenAlexaff
Paolo Raggi, Maria Laura Becciu, Eliano Pio Navarese

Bibliographic record

VenueCurrent Opinion in Lipidology · 2024
Typearticle
Languageen
FieldMedicine
TopicCholesterol and Lipid Metabolism
Canadian institutionsUniversity of Alberta
Fundersnot available
KeywordsMendelian randomizationCholesterolMedicineDiseaseBioinformaticsEpidemiologyInternal medicineBiologyGeneticsGenotypeGenetic variantsGene

Abstract

fetched live from OpenAlex

PURPOSE OF REVIEW: Remnant cholesterol has become increasingly recognized as a direct contributor to the development of atherosclerosis and as an additional marker of cardiovascular risk. This review aims to summarize the pathophysiological mechanisms, and the current evidence base from epidemiological investigations and genetic studies that support a causal link between remnant cholesterol and atherosclerotic cardiovascular disease. Current and novel therapeutic approaches to target remnant cholesterol are discussed. RECENT FINDINGS: A recent Mendelian randomization study of over 12 000 000 single-nucleotide polymorphisms associated with high levels of remnant cholesterol, demonstrated a genetic association between remnant cholesterol and adverse cardiovascular events among 958 434 participants. SUMMARY: In this light, the emerging role of remnant cholesterol as an independent lipid risk marker warrants a reevaluation of lipid management guidelines and underscores the potential for novel therapeutic targets in cardiovascular disease prevention.

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)0.001
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 categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Editorial · Consensus signal: none
Teacher disagreement score0.654
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0000.001

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 head0.061
GPT teacher head0.365
Teacher spread0.304 · 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
GenreEditorial

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

Citations22
Published2024
Admission routes1
Has abstractyes

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