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Record W2756939339 · doi:10.1093/icvts/ivx306

Clampless myocardial revascularization on a healed iatrogenic aortic dissection

2017· article· en· W2756939339 on OpenAlexafffund
Jean-David Blossier, Fanny Gabrysz‐Forget, Victor‐Xavier Tadros, Louis P. Perrault

Bibliographic record

VenueInteractive Cardiovascular and Thoracic Surgery · 2017
Typearticle
Languageen
FieldMedicine
TopicAortic Disease and Treatment Approaches
Canadian institutionsUniversité de MontréalMontreal Heart Institute
FundersInstitut de Cardiologie de MontréalFondation Institut de Cardiologie de Montréal
KeywordsMedicineAortic dissectionComplicationCardiac catheterizationSurgeryRevascularizationDissection (medical)CardiologyCatheterCoronary artery diseaseAortaInternal medicineRadiologyMyocardial infarction

Abstract

fetched live from OpenAlex

Iatrogenic aortic dissection is an infrequent complication of cardiac catheterization (0.03-0.06%) associated with up to 19% of mortality at 30 days. It was reported to mostly occur when using a 6-Fr guiding catheter to cannulate the right coronary artery. This life-threatening complication usually requires early surgical management and close imaging monitoring and control of systolic blood pressure. This case report describes a patient with iatrogenic aortic dissection during cardiac catheterization in symptomatic coronary artery disease. Conservative management of the limited non-progressive aortic dissection was chosen followed by surgical revascularization with a clampless technique, despite the recent aortic injury.

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)0.000
metaresearch head score (Gemma)0.001
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Case report · Consensus signal: Case report
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.001
Threshold uncertainty score0.004

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0010.000

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 head0.046
GPT teacher head0.325
Teacher spread0.279 · 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 designCase report
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
Published2017
Admission routes2
Has abstractyes

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