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Record W2375386573 · doi:10.2310/6650.2005.x0004.250

251 BIOMARKERS OF OXIDATIVE STRESS: RELATIVE PREDICTIVE VALUE FOR CARDIOVASCULAR MORTALITY.

2006· article· en· W2375386573 on OpenAlexaffabout
Claire Heslop, John S. Hill, J. Frohlich

Bibliographic record

VenueJournal of Investigative Medicine · 2006
Typearticle
Languageen
FieldNursing
TopicVitamin C and Antioxidants Research
Canadian institutionsSt. Paul's HospitalUniversity of British Columbia
Fundersnot available
KeywordsOxidative stressPredictive valueMedicineValue (mathematics)Internal medicineCardiologyStatisticsMathematics

Abstract

fetched live from OpenAlex

Introduction Recent research into the development and progression of coronary artery disease (CAD) links oxidative stress with its pathological features; however, specifics regarding the impact of oxidative stress on CAD, compared to more traditional risk factors, remain unclear. The oxidative stress hypothesis proposes that the oxidation of lipids, in the context of vascular endothelial cell dysfunction, promotes macrophage foam cell formation and the progression of CAD lesions. Measurable genetic and biochemical variations in pro-oxidant and antioxidant enzymes have been studied for relationships with CAD; however, little is known about the relative role oxidative stress plays in the development of CAD, or its end point. Objectives This study will evaluate and compare multiple genetic and biochemical biomarkers of oxidative stress to determine their relative and additive abilities to predict all-cause and cardiovascular-related mortality in a population with cardiovascular disease. Methodology Biochemical analysis of stored plasma from an angiography cohort of 1,117 subjects, with a mean follow-up of 8.5 years, will include the following measures of oxidative stress: total antioxidant potential, oxidized low-density lipoprotein, 8-iso-prostaglandin F2α, myeloperoxidase, nitrotyrosine, and paraoxonase. DNA analysis of 894 Caucasian subjects to measure selected polymorphisms and haplotypes of the following genes: myeloperoxidase; NADPH oxidase p22 phox subunit; heme oxygenase 1; and 5-lipoxygenase activating protein. Statistical analysis of results from biochemical and genetic studies, and comparison with semi-quantitatively assessed angiography results, and mortality data from Vital Statistics Canada. Preliminary Results Two hundred twenty of the patients in this cohort have since died, including 103 cases of CAD-related death. Assays for total antioxidant potential, myeloperoxidase, 8-iso-prostaglandin F2α, oxLDL, and nitrotyrosine have been performed to address the stability and suitability of measuring oxidative stress biomarkers in frozen/thawed plasma samples stored for a mean duration of 8.5 years. Impact This study will provide novel insight into how biomarkers of oxidative stress correlate with CAD patient mortality. Determining the degree of association between genetic polymorphisms, intermediate phenotypes, and patient mortalities will be a valuable product of this immense study of oxidative stress.

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)0.004
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.004
Threshold uncertainty score0.013

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.004
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0010.000
Open science0.0000.000
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0040.001

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 head0.049
GPT teacher head0.318
Teacher spread0.269 · 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 designObservational
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

Citations1
Published2006
Admission routes2
Has abstractyes

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