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Record W2326637194 · doi:10.4244/eij30v6i4a85

Vascular response to a third generation everolimus-eluting stent

2010· article· en· W2326637194 on OpenAlexaff
Gregory J. Wilson, Barbara Huibregtse, Elizabeth Stejskal, Jody Crary, Ruth M. Starzyk, Keith D. Dawkins, James J. Barry

Bibliographic record

VenueEuroIntervention · 2010
Typearticle
Languageen
FieldMedicine
TopicCoronary Interventions and Diagnostics
Canadian institutionsSickKids Foundation
Fundersnot available
KeywordsStentMedicineNeointimaEverolimusDrug-eluting stentFibrinArterySurgeryInternal medicineRestenosis

Abstract

fetched live from OpenAlex

AIMS: In a non-injured porcine coronary artery model, the aim was to evaluate vascular compatibility of the novel platinum chromium everolimus-eluting PROMUS Element stent as compared to the following control stents: everolimus-eluting PROMUS (XIENCE V), bare metal Element, and polymer-only Element. METHODS AND RESULTS: Stent pairs (n=228) evenly distributed among the four stent types were implanted in overlap configuration in 79 pigs at a targeted stent-to-artery ratio of 1.1:1. Similar numbers were explanted at each of 7, 30, 90, 180, and 270 days for pathological analysis. No stent-related mortality or morbidity was observed. There were no stent occlusions or strut fractures. The PROMUS Element was more radiopaque than PROMUS (relative densities 9.9 and 9.1, respectively) and demonstrated at all time points vascular compatibility similar to that of the control stents for endothelial cell coverage, inflammatory response, and neointima formation. At 30 days, parastrut fibrin was mild but greater (P<0.0001) for the drug-eluting stents than either for the bare metal or the polymer-only Element; however, by 90 days the fibrin had dissipated. CONCLUSIONS: In the non-injured porcine coronary artery model, the PROMUS Element demonstrated vascular compatibility equivalent to PROMUS and the bare metal and polymer-only stents.

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 categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.914
Threshold uncertainty score0.826

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.001

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 head0.031
GPT teacher head0.305
Teacher spread0.274 · 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.

The models applied no category: nothing in the taxonomy fit this work.
Study designBench or experimental
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

Citations35
Published2010
Admission routes1
Has abstractyes

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