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Record W1917414425 · doi:10.1111/nyas.12828

An overview of the efficacy of resveratrol in the management of ischemic heart disease

2015· review· en· W1917414425 on OpenAlexaff
Pema Raj, Shelley Zieroth, Thomas Netticadan

Bibliographic record

VenueAnnals of the New York Academy of Sciences · 2015
Typereview
Languageen
FieldMedicine
TopicSirtuins and Resveratrol in Medicine
Canadian institutionsUniversity of ManitobaCanadian Science Centre for Human and Animal HealthAgriculture and Agri-Food Canada
Fundersnot available
KeywordsResveratrolDiseaseMedicineNutraceuticalHeart diseaseIntensive care medicinePharmacologyBioinformaticsInternal medicineBiologyPathology

Abstract

fetched live from OpenAlex

Ischemic heart disease is a leading cause of cardiac dysfunction and subsequent morbidity and mortality around the world. New therapies are required to complement or enhance the existing treatment regimen for the management of ischemic heart disease-related clinical complications. In this regard, compounds derived from natural sources have recently gained attention for their cardioprotective properties. In particular, the potential of food-derived compounds that exhibit medicinal properties (termed nutraceuticals) appears promising, an example being the plant polyphenol resveratrol. In the past two decades, many preclinical and a few pilot clinical studies have shown that resveratrol is beneficial in protecting against cardiovascular disease. In this short review, we will discuss current evidence on the efficacy of resveratrol in preventing or reversing deleterious effects on the heart in the setting of ischemic heart disease.

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)0.001
metaresearch head score (Gemma)0.001
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.004
Threshold uncertainty score0.013

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0030.002
Science and technology studies0.0000.000
Scholarly communication0.0010.001
Open science0.0010.001
Research integrity0.0010.001
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 head0.283
GPT teacher head0.471
Teacher spread0.189 · 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 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

Citations54
Published2015
Admission routes1
Has abstractyes

Explore more

Same venueAnnals of the New York Academy of SciencesSame topicSirtuins and Resveratrol in MedicineFrench-language works237,207