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Record W4317206903 · doi:10.3390/metabo13020145

Could Lowering Phytosterol Absorption as Part of Lipid-Lowering Therapy Have a Beneficial Effect on Residual Risk?

2023· article· en· W4317206903 on OpenAlexfundno aff
Panagiotis Anagnostis, Vasilios Kotsis, Maciej Banach, Dimitri P. Mikhailidis

Bibliographic record

VenueMetabolites · 2023
Typearticle
Languageen
FieldMedicine
TopicCholesterol and Lipid Metabolism
Canadian institutionsnot available
FundersMylanValeant Pharmaceuticals InternationalSanofiAstraZenecaAmgen
KeywordsPhytosterolResidual riskResidualAbsorption (acoustics)ChemistryPharmacologyMedicineInternal medicineFood scienceMaterials scienceComputer science

Abstract

fetched live from OpenAlex

Plant sterols are molecules that are structurally similar to cholesterol and provided only as dietary sources (e.g., vegetables, fruits, nuts, cereals) since they cannot be synthesized by humans. Sterol-enriched diets (≥2 g/day) may decrease total and low-density lipoprotein cholesterol concentrations by 5-10%, either alone or when added to statins, since they antagonize dietary cholesterol absorption in the intestine. On the other hand, increased serum phytosterol concentrations, (including when associated with sitosterolemia, a rare genetic defect) may contribute to atherosclerotic risk, although a threshold for such a role has not been established. Medications such as ezetimibe may effectively reduce cholesterol and phytosterol absorption. Whether the therapeutic approach associated with the reduction of phytosterol absorption is also translated into a reduction in a patient's residual cardiovascular risk needs to be established.

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)0.002
metaresearch head score (Gemma)0.005
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.007
Threshold uncertainty score0.025

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.005
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0000.000
Science and technology studies0.0000.001
Scholarly communication0.0010.001
Open science0.0010.000
Research integrity0.0020.002
Insufficient payload (model declined to judge)0.0070.001

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 head0.023
GPT teacher head0.295
Teacher spread0.272 · 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 designTheoretical or conceptual
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

Citations3
Published2023
Admission routes1
Has abstractyes

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