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Record W4323073549 · doi:10.1016/j.jscai.2023.100606

Association Between the Access Site for Coronary Angiography and Catheter-induced Coronary Artery Dissection

2023· article· en· W4323073549 on OpenAlexaff
Pietro Di Santo, Paul Boland, Omar Abdel‐Razek, Trevor Simard, Richard G. Jung, Simon Parlow, Pouya Motazedian, Joanne Joseph, Pascal Thériault-Lauzier, Ali Alomar, Ali Hillani, Saad Alhassani, Mohamed Bayoumi Ali, Kwadwo Kyeremanteng, Doug Coyle, Dean Fergusson, George A. Wells, Michael Froeschl, Marino Labinaz, Juan Russo, Benjamin Hibbert

Bibliographic record

VenueJournal of the Society for Cardiovascular Angiography & Interventions · 2023
Typearticle
Languageen
FieldMedicine
TopicVascular Procedures and Complications
Canadian institutionsOttawa HospitalMemorial University of NewfoundlandUniversity of Ottawa
Fundersnot available
KeywordsMedicineArtery dissectionCoronary angiographyInternal medicineCardiologyCatheterRight coronary arteryDissection (medical)ArteryAngiographyRadiologyMyocardial infarction

Abstract

fetched live from OpenAlex

Background: Catheter-induced coronary artery dissection (CICAD) is a rare complication of coronary angiography. The association between access site and CICAD remains unclear; however, transradial access (TRA) may be associated with a higher incidence of CICAD due to access vessel tortuosity and the mechanical disadvantage of catheters designed for the transfemoral access (TFA) approach. Methods: In this retrospective study, the reports of consecutive left heart catheterizations between April 2007, and December 2021 were reviewed for CICAD. Patients were excluded if the procedural report did not report an arterial access site. Identified CICAD cases were reviewed in detail. Results: < .01)-an association that was not present in the TRA-predominant era. In-hospital mortality in patients with CICAD was 8.5%. Conclusions: CICAD is a rare complication of coronary angiography. Over a 15-year period, we did not demonstrate an association between access site and an increased risk of CICAD. There is substantial mortality associated with CICAD.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.004
Version: metacan-v3-hybrid-931329e0061cValidation 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 score0.004
Threshold uncertainty score0.014

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.004
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0040.000

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 head0.042
GPT teacher head0.309
Teacher spread0.268 · 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 source (direct Gemma or distilled Codex), 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

Citations3
Published2023
Admission routes1
Has abstractyes

Explore more

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