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Record W2120067417 · doi:10.1017/s1047951102000586

Echocardiographic evaluation, management and outcomes of bilateral arterial ducts and complex congenital heart disease: 16 years' experience

2002· article· en· W2120067417 on OpenAlexaff
Alejandro Peirone, Frank Dicke, Robert M. Freedom, Jeffrey Smallhorn

Bibliographic record

VenueCardiology in the Young · 2002
Typearticle
Languageen
FieldMedicine
TopicCongenital Heart Disease Studies
Canadian institutionsSickKids FoundationHospital for Sick ChildrenChildren's Hospital of Western OntarioUniversity of Toronto
Fundersnot available
KeywordsMedicinePulmonary atresiaCardiologyInternal medicineHeart diseaseStenosisPulmonary arteryHypoplastic left heart syndromeCollateral circulationLesionRadiologySurgery

Abstract

fetched live from OpenAlex

Bilateral arterial ducts represent an uncommon form of pulmonary or systemic blood supply associated with complex congenital cardiac disease. We sought to determine the role of high-resolution cross-sectional echocardiography and color flow Doppler ultrasonography in assessing this condition, as well as to describe the management and outcome in a group of patients. A retrospective review was conducted of 11 newborns identified over a 16-year period as having bilateral arterial ducts. Pulmonary atresia associated with non-confluent pulmonary arteries was the dominant lesion, with the heterotaxy syndrome also frequently being recognized. Echocardiography best identified the source of blood supply to either the pulmonary or systemic circulations, allowing differentiation from collateral vessels. Stenosis of the right or left pulmonary artery at the initial site of ductal insertion needs careful evaluation on follow-up. Management of patients with this condition remains a challenge, as indicated by the poor outcomes observed in our series.

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)0.005
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 score0.001
Threshold uncertainty score0.004

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.005
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0010.001
Scholarly communication0.0010.001
Open science0.0000.001
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 head0.038
GPT teacher head0.301
Teacher spread0.264 · 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

Citations22
Published2002
Admission routes1
Has abstractyes

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