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Record W2052953628 · doi:10.1177/1089253206288990

Aortic Assessment for Cardiac Surgical Procedures

2006· review· en· W2052953628 on OpenAlexaff
Daniel Bainbridge

Bibliographic record

VenueSeminars in Cardiothoracic and Vascular Anesthesia · 2006
Typereview
Languageen
FieldMedicine
TopicAortic Thrombus and Embolism
Canadian institutionsLondon Health Sciences CentreWestern University
Fundersnot available
KeywordsMedicineCardiac surgeryPerioperativeAortaStroke (engine)CardiologyAmbulatoryElastinInternal medicineCardiopulmonary bypassSurgeryPathology

Abstract

fetched live from OpenAlex

Aortic atheromatous disease is associated with stroke in both the ambulatory and perioperative setting. In addition to atheromatous deposits, a reduction in the compliance of the aorta takes place as elastin fibers are replaced by collagen fibers. Both of these distinct processes, termed atherosclerosis, can easily be measured using transesophageal echocardiography during cardiac surgery. A review of the literature demonstrates many studies supporting the benefit of transesophageal echocardiography examination of the aorta for reducing stroke following cardiac surgery, through modification of surgical techniques. There have also been attempts by surgeons to remove atheromatous lesions from the aorta during cardiac surgery. Unfortunately, these procedures currently have a high perioperative mortality. Finally, medical therapy such as warfarin or statins may help reduce the incidence of stroke following heart surgery.

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)0.002
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.012
Threshold uncertainty score0.040

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0030.002
Science and technology studies0.0000.000
Scholarly communication0.0010.001
Open science0.0010.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0120.011

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 head0.023
GPT teacher head0.368
Teacher spread0.345 · 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 designNot applicable
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

Citations3
Published2006
Admission routes1
Has abstractyes

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