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Record W2172079079 · doi:10.1586/14779072.2.6.935

Hyperhomocysteinemia and the risk of restenosis after coronary artery stenting: fact or fiction?

2004· review· en· W2172079079 on OpenAlexaff
Reza Tabrizchi

Bibliographic record

VenueExpert Review of Cardiovascular Therapy · 2004
Typereview
Languageen
FieldMedicine
TopicFolate and B Vitamins Research
Canadian institutionsMemorial University of Newfoundland
Fundersnot available
KeywordsRestenosisMedicineHyperhomocysteinemiaCardiologyHomocysteineInternal medicineRisk factorCoronary artery diseaseStentCoronary stent

Abstract

fetched live from OpenAlex

The incidence of restenosis after coronary artery stent placement is approximately 38%. An interesting view has been stipulated: that hyperhomocysteinemia may be partly responsible for in-stent restenosis. Epidemiologic evidence exists that is persuasive in suggesting that individuals with occlusive vascular disease have a higher blood homocysteine concentration than control subjects. Thus, elevated plasma levels of homocysteine have been implicated as a risk factor for coronary artery disease. The composition of the current clinical knowledge on the question of whether hyperhomocysteinemia is a significant factor for restenosis of coronary artery stents consists of several trials with different approaches, objectives and outcomes. However, the current studies that have been published in the peer-reviewed medical literature have not reached a consensus as to whether an elevated plasma level of homocysteine is an independent risk factor responsible for restenosis following stent implantation. Our current knowledge as to the place of plasma homocysteine levels in the development of in-stent restenosis seems incomplete, and in the realm of homocysteine and restenosis of stents, there are plenty of questions that still remain to be answered.

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)0.003
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Other design · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.870
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.000
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0060.006
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0000.000

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 head0.037
GPT teacher head0.341
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 designOther design
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

Citations1
Published2004
Admission routes1
Has abstractyes

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