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Record W2091470300 · doi:10.1097/hco.0b013e328330cc22

Coarctation of the aorta: evaluation and management

2009· review· en· W2091470300 on OpenAlexaff
David Tanous, Lee Benson, Eric Horlick

Bibliographic record

VenueCurrent Opinion in Cardiology · 2009
Typereview
Languageen
FieldMedicine
TopicCongenital Heart Disease Studies
Canadian institutionsHospital for Sick ChildrenToronto General HospitalUniversity Health Network
Fundersnot available
KeywordsMedicineCoarctation of the aortaAortic archAortaAneurysmCardiologyStentDescending aortaInternal medicineAortic aneurysmSurgery

Abstract

fetched live from OpenAlex

PURPOSE OF REVIEW: Coarctation of the aorta is the discrete narrowing of the proximal descending aorta and is the sixth most common lesion in congenital heart disease. Repair of the coarctation can relieve the obstruction, but recurrent coarctation and future aneurysm formation can occur, and a heightened risk of vascular disease is present. This review focuses on advances in the management of native and previously treated coarctation and provides insights into future vascular risk. RECENT FINDINGS: Coarctation of the aorta is associated with other left heart obstructive lesions, and advances in the genetic basis of these conditions have been made. Recurrent coarctation and aneurysm formation are common after surgical and endovascular repair of coarctation of the aorta. Endovascular treatment is an acceptable alternative to surgical repair of native and recurrent coarctation. Covered stents and stent grafts can be used to treat arch complications with a low risk of complications. In spite of repair of the obstruction, hypertension persists and appears to be multifactorial due to a variety of factors, including endothelial dysfunction, aortic stiffness, altered arch morphology and increased ventricular stiffness. SUMMARY: People with previously repaired coarctation of the aorta require long-term surveillance for local complications with aortic imaging and surveillance and management of hypertension to prevent vascular disease.

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: Other design · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.978
Threshold uncertainty score0.437

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
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)0.0000.000

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 head0.170
GPT teacher head0.473
Teacher spread0.303 · 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 designOther design
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

Citations112
Published2009
Admission routes1
Has abstractyes

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