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Record W1966447001 · doi:10.2174/187152911795945169

Pathogenesis of Neointima Formation Following Vascular Injury

2011· review· en· W1966447001 on OpenAlexaff
Ali Pourdjabbar, Benjamin Hibbert, Trevor Simard, Xiaoli Ma

Bibliographic record

VenueCardiovascular & Haematological Disorders - Drug Targets · 2011
Typereview
Languageen
FieldMedicine
TopicCoronary Interventions and Diagnostics
Canadian institutionsUniversity of Ottawa
Fundersnot available
KeywordsNeointimaRestenosisMedicinePathogenesisNeointimal hyperplasiaStentRevascularizationEndothelial progenitor cellLumen (anatomy)Percutaneous coronary interventionProgenitor cellCardiologyAngioplastyPercutaneousInternal medicineMyocardial infarctionBiologyCell biologyStem cell

Abstract

fetched live from OpenAlex

Revascularization remains the cornerstone of managing obstructive coronary artery disease. Although percutaneous coronary interventions involving the insertion of metal scaffolds, known as stents, has emerged as the preferred method of restoring vessel patency, as many as 30% of patients will experience a gradual re-narrowing of the lumen caused by neointima (NI) formation, resulting in a condition known as in-stent restenosis (ISR). ISR represents a significant limitation to percutaneous revascularization – however, abrogating NI formation following stent implantation has been hampered by an incomplete understanding of the pathogenesis of in-stent lesions. While numerous mechanisms have been proposed to explain the pathogenesis of ISR, data from human and animal models have yielded conflicting results. Herein, we review key studies of NI development following vascular injury with a focus on the origin of cells participating in NI formation. Keywords: In-stent restenosis, neointima, smooth muscle cell, endothelial cell, vascular progenitor cell, endothelial progenitor cell, drug-eluting stents, hyperplasia, contractile phenotype

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), Meta-epidemiology (broad)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Other design · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.968
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0060.018
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0010.001
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 head0.034
GPT teacher head0.296
Teacher spread0.262 · 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

Citations77
Published2011
Admission routes1
Has abstractyes

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