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Record W2897874619 · doi:10.1093/icvts/ivy273

Transcatheter atrioventricular valve-in-valve implantation for Fontan circulation and dextrocardia

2018· article· en· W2897874619 on OpenAlexfundno aff
Chia-Cheng Kuo, Jhih‐Yuan Shih, Nan‐Chun Wu, Bor‐Chih Cheng

Bibliographic record

VenueInteractive Cardiovascular and Thoracic Surgery · 2018
Typearticle
Languageen
FieldMedicine
TopicCardiac Valve Diseases and Treatments
Canadian institutionsnot available
FundersUniversity of British Columbia
KeywordsMedicineDextrocardiaAtrioventricular valveCardiologyInternal medicineValve replacementvalvular heart diseaseHeart valveSurgeryStenosisVentricle

Abstract

fetched live from OpenAlex

Transcatheter heart valve-in-valve implantation in failed surgical bioprosthetic valves has shown promising outcomes, prompting the stepwise expansion of their applications in different clinical scenarios. Recently, there is increased interest in valve-in-valve techniques for the treatment of patients with complex congenital heart disease. Herein, we report a case of successful transapical transcatheter atrioventricular valve-in-valve implantation in a patient with Fontan circulation and dextrocardia. The patient was previously treated with total cavopulmonary connection and atrioventricular valve replacement with recurrent prosthesis dysfunction.

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)0.002
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 score0.002
Threshold uncertainty score0.004

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.002
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.000
Science and technology studies0.0010.001
Scholarly communication0.0010.001
Open science0.0010.001
Research integrity0.0020.002
Insufficient payload (model declined to judge)0.0010.001

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 head0.337
Teacher spread0.316 · 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

Citations6
Published2018
Admission routes1
Has abstractyes

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