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Record W1997830617 · doi:10.1124/mi.10.6.4

Antioxidants in Hypertension and Cardiovascular Disease

2010· review· en· W1997830617 on OpenAlexafffund
Ernesto L. Schiffrin

Bibliographic record

VenueMolecular Interventions · 2010
Typereview
Languageen
FieldMedicine
TopicAntioxidant Activity and Oxidative Stress
Canadian institutionsJewish General HospitalMcGill University
FundersCanadian Institutes of Health Research
KeywordsOxidative stressAntioxidantReactive oxygen speciesDiseaseMedicinePharmacologyMineralocorticoid receptorAngiotensin Receptor BlockersAngiotensin IIReceptorRenin–angiotensin systemBioinformaticsChemistryInternal medicineBlood pressureBiologyBiochemistry

Abstract

fetched live from OpenAlex

Cardiovascular disease is characterized by enhanced oxidative stress in the vascular wall, heart, kidney, and brain. Epidemiological evidence suggests that antioxidants, including vitamins C and E, α-carotene, and β-carotene, may be therapeutic; however, interventional trials of antioxidants have provided mixed results, with some showing deleterious consequences. It is thus crucial that we consider the implications of trial design and execution, and further investigation of cellular pro-and antioxidant mechanisms is critical. Angiotensin-converting enzyme inhibitors, angiotensin receptor blockers, and mineralocorticoid receptor blockers reduce the generation of reactive oxygen species, in experimental models as well as in humans, and have demonstrated beneficial cardiovascular effects. Polyphenols and antioxidants contained in foods and beverages may also be cardioprotective. Recent studies suggest that the judicious development of antioxidant agents may provide an effective approach to quench oxidative stress in tissues and improve cardiovascular health.

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 score0.014

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0020.000
Bibliometrics0.0020.003
Science and technology studies0.0000.001
Scholarly communication0.0010.001
Open science0.0010.001
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0040.003

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 head0.092
GPT teacher head0.364
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 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

Citations85
Published2010
Admission routes2
Has abstractyes

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