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Record W2002404555 · doi:10.1002/ccd.21119

Radiofrequency perforation of the right ventricular outflow tract as a palliative strategy for pulmonary atresia with ventricular septal defect

2007· article· en· W2002404555 on OpenAlexaff
Mark Walsh, Kyong‐Jin Lee, Rajiv Chaturvedi, Glen S. Van Arsdell, Lee Benson

Bibliographic record

VenueCatheterization and Cardiovascular Interventions · 2007
Typearticle
Languageen
FieldMedicine
TopicCongenital Heart Disease Studies
Canadian institutionsSickKids FoundationHospital for Sick ChildrenUniversity of Toronto
Fundersnot available
KeywordsMedicinePulmonary atresiaVentricular outflow tractPerforationCardiologyInternal medicineAtresiaPalliative careHeart disease

Abstract

fetched live from OpenAlex

BACKGROUND: Radiofrequency perforation (RF) of the right ventricular outflow tract (RVOT), while an effective management strategy in children with an intact ventricular septum, has not been fully detailed in those presenting with a ventricular septal defect. OBJECTIVE: To determine whether transcatheter perforation of the atretic pulmonary valve is an acceptable management strategy prior to surgical repair. RESULTS: Valve perforation was attempted in eight children seen between May 2000 and March 2006, five being infants between 1 and 9 days of age. In five children, this was the first of two procedures, the second a planned surgical correction. The RF was successful in six children with one child requiring additional stenting of the RVOT. Of these children, three attained a biventricular repair within the next year without additional palliative surgical procedures. Of the remaining three patients, one is awaiting surgical correction, one did not require further surgery, and one had this procedure as the only planned palliation. The two children in whom RF was not possible were referred for surgical augmentation of pulmonary blood flow. CONCLUSION: A treatment strategy that includes pulmonary valve perforation as initial palliation to increase pulmonary blood flow may be effective. Additional experience to better define those children who would benefit from this treatment algorithm is required.

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: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.467
Threshold uncertainty score0.468

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.003
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 head0.021
GPT teacher head0.286
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 teacher head, 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

Citations36
Published2007
Admission routes1
Has abstractyes

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