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Record W4307339953 · doi:10.1002/ccd.30458

Use of the PK Papyrus covered coronary stent in the treatment of Kawasaki disease‐associated giant coronary artery aneurysms

2022· article· en· W4307339953 on OpenAlexaff
Iman Naimi, Brian H. Morray, Michael A. Portman, Zachary L. Steinberg

Bibliographic record

VenueCatheterization and Cardiovascular Interventions · 2022
Typearticle
Languageen
FieldMedicine
TopicKawasaki Disease and Coronary Complications
Canadian institutionsStollery Children's HospitalUniversity of Alberta
Fundersnot available
KeywordsMedicineKawasaki diseaseCoronary artery aneurysmStentPercutaneous coronary interventionCardiologyRestenosisInternal medicineRadiologyStenosisAneurysmCoronary artery diseaseArteryCoronary arteriesSurgeryMyocardial infarction

Abstract

fetched live from OpenAlex

Kawasaki disease (KD) is an acute vasculitis that can cause coronary artery inflammation and aneurysm formation leading to early obstructive disease. We describe the use of PK Papyrus covered stents (Biotronic, Inc.) in three pediatric patients to exclude coronary artery aneurysms (CAA) from the circulation and relieve aneurysm associated stenoses. Follow-up angiography at 11-17 months postprocedure demonstrated persistent exclusion of CAA and varying degrees of in-stent restenosis (ISR). Two patients required percutaneous coronary intervention with drug eluting stent (DES) implantation to relieve in-stent stenosis. Our findings suggest that CAA exclusion with the PK Papyrus stent is possible and may be a valuable tool in simultaneously treating stenotic and thrombogenic CAA in pediatric KD patients. ISR of these non-DES remains an issue and may require additional interventions within the short-term to maintain vessel patency.

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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation 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 score0.100
Threshold uncertainty score0.392

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.001
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)0.0000.000

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 head0.055
GPT teacher head0.261
Teacher spread0.206 · 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 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

Citations0
Published2022
Admission routes1
Has abstractyes

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