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Record W1992411395 · doi:10.2174/1568006043481293

Current Understanding of In-stent Restenosis and the Potential Benefit of Drug Eluting Stents

2004· review· en· W1992411395 on OpenAlexaff
Michael Froeschl, Steen Olsen, Xiaochang Ma, Edward R. O’Brien

Bibliographic record

VenueCurrent Drug Targets - Cardiovascular & Hematological Disorders · 2004
Typereview
Languageen
FieldMedicine
TopicCoronary Interventions and Diagnostics
Canadian institutionsUniversity of Ottawa
Fundersnot available
KeywordsRestenosisMedicineAngioplastyCardiologyStentPathogenesisCoronary artery diseaseInternal medicinePercutaneous transluminal coronary angioplastyElastic recoil

Abstract

fetched live from OpenAlex

Percutaneous transluminal coronary angioplasty has revolutionized the management of patients with coronary artery disease. Unfortunately, the procedure's utility is limited by a frequent complication: restenosis. Coronary stenting prevents the elastic recoil and negative remodeling that can occur after angioplasty but, by inciting varying degrees of intimal expansion, it can also produce arterial renarrowing, known as in-stent restenosis (ISR). The precise mechanisms involved in the pathogenesis of ISR are incompletely understood. The recent introduction of drug-eluting stents (DESs) may help prevent ISR. However, DESs have not been universally successful, and they may introduce new complications that require further refinement. This review summarizes the current understanding of the pathogenesis of ISR and provides an objective overview of DESs.

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)0.001
metaresearch head score (Gemma)0.001
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 score0.839
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0050.006
Bibliometrics0.0000.001
Science and technology studies0.0000.001
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 head0.050
GPT teacher head0.316
Teacher spread0.265 · 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

Citations18
Published2004
Admission routes1
Has abstractyes

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